Configuration¶

Changing the Superuser Password¶

The default password for the “dataverseAdmin” superuser account is “admin”, as mentioned in the Installation section, and you should change it, of course.

Blocking API Endpoints¶

The Native API contains a useful but potentially dangerous API endpoint called “admin” that allows you to change system settings, make ordinary users into superusers, and more. The “builtin-users” endpoint lets admins create a local/builtin user account if they know the key defined in BuiltinUsers.KEY.

By default, most APIs can be operated on remotely and a number of endpoints do not require authentication. The endpoints “admin” and “builtin-users” are limited to localhost out of the box by the settings :BlockedApiEndpoints and :BlockedApiPolicy.

It is very important to keep the block in place for the “admin” endpoint, and to leave the “builtin-users” endpoint blocked unless you need to access it remotely. Documentation for the “admin” endpoint is spread across the Native API section of the API Guide and the Admin Guide.

It’s also possible to prevent file uploads via API by adjusting the :UploadMethods database setting.

Forcing HTTPS¶

To avoid having your users send credentials in the clear, it’s strongly recommended to force all web traffic to go through HTTPS (port 443) rather than HTTP (port 80). The ease with which one can install a valid SSL cert into Apache compared with the same operation in Payara might be a compelling enough reason to front Payara with Apache. In addition, Apache can be configured to rewrite HTTP to HTTPS with rules such as those found at https://wiki.apache.org/httpd/RewriteHTTPToHTTPS or in the section on Shibboleth.

Recording User IP Addresses¶

By default, the Dataverse installation captures the IP address from which requests originate. This is used for multiple purposes including controlling access to the admin API, IP-based user groups and Make Data Count reporting. When the Dataverse installation is configured behind a proxy such as a load balancer, this default setup may not capture the correct IP address. In this case all the incoming requests will be logged in the access logs, MDC logs etc., as if they are all coming from the IP address(es) of the load balancer itself. Proxies usually save the original address in an added HTTP header, from which it can be extracted. For example, AWS LB records the “true” original address in the standard X-Forwarded-For header. If your Dataverse installation is running behind an IP-masking proxy, but you would like to use IP groups, or record the true geographical location of the incoming requests with Make Data Count, you may enable the IP address lookup from the proxy header using the JVM option dataverse.useripaddresssourceheader, described further below.

Before doing so however, you must absolutely consider the security risks involved! This option must be enabled only on a Dataverse installation that is in fact fully behind a proxy that properly, and consistently, adds the X-Forwarded-For (or a similar) header to every request it forwards. Consider the implications of activating this option on a Dataverse installation that is not running behind a proxy, or running behind one, but still accessible from the insecure locations bypassing the proxy: Anyone can now add the header above to an incoming request, supplying an arbitrary IP address that the Dataverse installation will trust as the true origin of the call. Thus giving an attacker an easy way to, for example, get in a privileged IP group. The implications could be even more severe if an attacker were able to pretend to be coming from localhost, if a Dataverse installation is configured to trust localhost connections for unrestricted access to the admin API! We have addressed this by making it so that Dataverse installation should never accept localhost, 127.0.0.1, 0:0:0:0:0:0:0:1 etc. when supplied in such a header. But if you have reasons to still find this risk unacceptable, you may want to consider turning open localhost access to the API off (See Securing Your Installation for more information.)

This is how to verify that your proxy or load balancer, etc. is handling the originating address headers properly and securely: Make sure access logging is enabled in your application server (Payara) configuration. (<http-service access-logging-enabled="true"> in the domain.xml). Add the address header to the access log format. For example, on a system behind AWS ELB, you may want to use something like %client.name% %datetime% %request% %status% %response.length% %header.referer% %header.x-forwarded-for%. Once enabled, access the Dataverse installation from outside the LB. You should now see the real IP address of your remote client in the access log. For example, something like: "1.2.3.4" "01/Jun/2020:12:00:00 -0500" "GET /dataverse.xhtml HTTP/1.1" 200 81082  "NULL-REFERER" "128.64.32.16"

In this example, 128.64.32.16 is your remote address (that you should verify), and 1.2.3.4 is the address of your LB. If you’re not seeing your remote address in the log, do not activate the JVM option! Also, verify that all the entries in the log have this header populated. The only entries in the access log that you should be seeing without this header (logged as "NULL-HEADER-X-FORWARDED-FOR") are local requests, made from localhost, etc. In this case, since the request is not coming through the proxy, the local IP address should be logged as the primary one (as the first value in the log entry, %client.name%). If you see any requests coming in from remote, insecure subnets without this header - do not use the JVM option!

Once you are ready, enable the JVM option. Verify that the remote locations are properly tracked in your MDC metrics, and/or your IP groups are working. As a final test, if your Dataverse installation is allowing unrestricted localhost access to the admin API, imitate an attack in which a malicious request is pretending to be coming from 127.0.0.1. Try the following from a remote, insecure location:

curl https://your.dataverse.edu/api/admin/settings --header "X-FORWARDED-FOR: 127.0.0.1"

First of all, confirm that access is denied! If you are in fact able to access the settings api from a location outside the proxy, something is seriously wrong, so please let us know, and stop using the JVM option. Otherwise check the access log entry for the header value. What you should see is something like "127.0.0.1, 128.64.32.16". Where the second address should be the real IP of your remote client. The fact that the “fake” 127.0.0.1 you sent over is present in the header is perfectly ok. This is the proper proxy behavior - it preserves any incoming values in the X-Forwarded-Header, if supplied, and adds the detected incoming address to it, on the right. It is only this rightmost comma-separated value that Dataverse installation should ever be using.

Still feel like activating this option in your configuration? - Have fun and be safe!

Privacy Considerations¶

Additional Recommendations¶

Configuring Your Dataverse Installation for DOIs¶

By default, your Dataverse installation attempts to register DOIs for each dataset and file under a test authority, though you must apply for your own credentials as explained above.

Here are the configuration options for DOIs:

JVM Options:

• doi.baseurlstring
• doi.username
• doi.password
• doi.dataciterestapiurlstring

Database Settings:

• :DoiProvider
• :Protocol
• :Authority
• :Shoulder
• :IdentifierGenerationStyle (optional)
• :DataFilePIDFormat (optional)
• :FilePIDsEnabled (optional, defaults to true)

Configuring Your Dataverse Installation for Handles¶

Here are the configuration options for handles:

JVM Options:

• dataverse.handlenet.admcredfile
• dataverse.handlenet.admprivphrase
• dataverse.handlenet.index

Database Settings:

• :Protocol
• :Authority
• :IdentifierGenerationStyle (optional)
• :DataFilePIDFormat (optional)
• :IndependentHandleService (optional)

Note: If you are minting your own handles and plan to set up your own handle service, please refer to Handle.Net documentation.

Local Only Auth¶

Out of the box, your Dataverse installation is configured in “local only” mode. The “dataverseAdmin” superuser account mentioned in the Installation section is an example of a local account. Internally, these accounts are called “builtin” because they are built in to the Dataverse Software application itself.

Both Local and Remote Auth¶

The authenticationproviderrow database table controls which “authentication providers” are available within a Dataverse installation. Out of the box, a single row with an id of “builtin” will be present. For each user in a Dataverse installation, the authenticateduserlookup table will have a value under authenticationproviderid that matches this id. For example, the default “dataverseAdmin” user will have the value “builtin” under authenticationproviderid. Why is this important? Users are tied to a specific authentication provider but conversion mechanisms are available to switch a user from one authentication provider to the other. As explained in the Account Creation + Management section of the User Guide, a graphical workflow is provided for end users to convert from the “builtin” authentication provider to a remote provider. Conversion from a remote authentication provider to the builtin provider can be performed by a sysadmin with access to the “admin” API. See the Native API section of the API Guide for how to list users and authentication providers as JSON.

Adding and enabling a second authentication provider (Add Authentication Provider and Enable or Disable an Authentication Provider) will result in the Log In page showing additional providers for your users to choose from. By default, the Log In page will show the “builtin” provider, but you can adjust this via the :DefaultAuthProvider configuration option. Further customization can be achieved by setting :AllowSignUp to “false”, thus preventing users from creating local accounts via the web interface. Please note that local accounts can also be created through the API by enabling the builtin-users endpoint (:BlockedApiEndpoints) and setting the BuiltinUsers.KEY database setting (BuiltinUsers.KEY).

To configure Shibboleth see the Shibboleth section and to configure OAuth see the OAuth Login Options section.

Remote Only Auth¶

As for the “Remote only” authentication mode, it means that:

• Shibboleth or OAuth has been enabled.
• :AllowSignUp is set to “false” to prevent users from creating local accounts via the web interface.
• :DefaultAuthProvider has been set to use the desired authentication provider
• The “builtin” authentication provider has been disabled (Enable or Disable an Authentication Provider). Note that disabling the “builtin” authentication provider means that the API endpoint for converting an account from a remote auth provider will not work. Converting directly from one remote authentication provider to another (i.e. from GitHub to Google) is not supported. Conversion from remote is always to “builtin”. Then the user initiates a conversion from “builtin” to remote. Note that longer term, the plan is to permit multiple login options to the same Dataverse installation account per https://github.com/IQSS/dataverse/issues/3487 (so all this talk of conversion will be moot) but for now users can only use a single login option, as explained in the Account Creation + Management section of the User Guide. In short, “remote only” might work for you if you only plan to use a single remote authentication provider such that no conversion between remote authentication providers will be necessary.

Multi-store Basics¶

To support multiple stores, a Dataverse installation now requires an id, type, and label for each store (even for a single store configuration). These are configured by defining two required jvm options:

./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.<id>.type=<type>"
./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.<id>.label=<label>"

Out of the box, a Dataverse installation is configured to use local file storage in the ‘file’ store by default. You can add additional stores and, as a superuser, configure specific Dataverse collections to use them (by editing the ‘General Information’ for the Dataverse collection as described in the Managing Datasets and Dataverse Collections section).

Note that the “-Ddataverse.files.directory”, if defined, continues to control where temporary files are stored (in the /temp subdir of that directory), independent of the location of any ‘file’ store defined above.

If you wish to change which store is used by default, you’ll need to delete the existing default storage driver and set a new one using jvm options.

./asadmin $ASADMIN_OPTS delete-jvm-options "-Ddataverse.files.storage-driver-id=file"
./asadmin $ASADMIN_OPTS create-jvm-options "-Ddataverse.files.storage-driver-id=<id>"

It is also possible to set maximum file upload size limits per store. See the :MaxFileUploadSizeInBytes setting below.

File Storage¶

File stores have one option - the directory where files should be stored. This can be set using

./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.<id>.directory=<file directory>"

Multiple file stores should specify different directories (which would nominally be the reason to use multiple file stores), but one may share the same directory as “-Ddataverse.files.directory” option - this would result in temp files being stored in the /temp subdirectory within the file store’s root directory.

Swift Storage¶

Rather than storing data files on the filesystem, you can opt for an experimental setup with a Swift Object Storage backend. Each dataset that users create gets a corresponding “container” on the Swift side, and each data file is saved as a file within that container.

In order to configure a Swift installation, you need to complete these steps to properly modify the JVM options:

First, run all the following create commands with your Swift endpoint information and credentials:

./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.<id>.type=swift"
./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.<id>.defaultEndpoint=endpoint1"
./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.<id>.authType.endpoint1=your-auth-type"
./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.<id>.authUrl.endpoint1=your-auth-url"
./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.<id>.tenant.endpoint1=your-tenant-name"
./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.<id>.username.endpoint1=your-username"
./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.<id>.endpoint.endpoint1=your-swift-endpoint"

auth_type can either be keystone, keystone_v3, or it will assumed to be basic. auth_url should be your keystone authentication URL which includes the tokens (e.g. for keystone, https://openstack.example.edu:35357/v2.0/tokens and for keystone_v3, https://openstack.example.edu:35357/v3/auth/tokens). swift_endpoint is a URL that looks something like http://rdgw.swift.example.org/swift/v1.

Then create a password alias by running (without changes):

./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.swift.password.endpoint1='\${ALIAS=swiftpassword-alias}'"
./asadmin $ASADMIN_OPTS create-password-alias swiftpassword-alias

The second command will trigger an interactive prompt asking you to input your Swift password.

Second, update the JVM option dataverse.files.storage-driver-id by running the delete command:

./asadmin $ASADMIN_OPTS delete-jvm-options "\-Ddataverse.files.storage-driver-id=file"

Then run the create command:

./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.storage-driver-id=swift"

You also have the option to set a custom container name separator. It is initialized to _, but you can change it by running the create command:

./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.swift.folderPathSeparator=-"

By default, your Swift installation will be public-only, meaning users will be unable to put access restrictions on their data. If you are comfortable with this level of privacy, the final step in your setup is to set the :PublicInstall setting to true.

In order to enable file access restrictions, you must enable Swift to use temporary URLs for file access. To enable usage of temporary URLs, set a hash key both on your swift endpoint and in your swift.properties file. You can do so by running the create command:

./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.swift.hashKey.endpoint1=your-hash-key"

You also have the option to set a custom expiration length, in seconds, for a generated temporary URL. It is initialized to 60 seconds, but you can change it by running the create command:

./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.swift.temporaryUrlExpiryTime=3600"

In this example, you would be setting the expiration length for one hour.

Amazon S3 Storage (or Compatible)¶

The Dataverse Software supports Amazon S3 storage as well as other S3-compatible stores (like Minio, Ceph RADOS S3 Gateway and many more) for files uploaded to your Dataverse installation.

The Dataverse Software S3 driver supports multi-part upload for large files (over 1 GB by default - see the min-part-size option in the table below to change this).

Note: The Dataverse Project Team is most familiar with AWS S3, and can provide support on its usage with the Dataverse Software. Thanks to community contributions, the application’s architecture also allows non-AWS S3 providers. The Dataverse Project Team can provide very limited support on these other providers. We recommend reaching out to the wider Dataverse Project Community if you have questions.

[default]
aws_access_key_id = <insert key, no brackets>
aws_secret_access_key = <insert secret key, no brackets>

[default]
region = us-east-1

[default]
aws_access_key_id = <insert key, no brackets>
aws_secret_access_key = <insert secret key, no brackets>

[profilename2]
aws_access_key_id = <insert key, no brackets>
aws_secret_access_key = <insert secret key, no brackets>

./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.<id>.type=s3"
./asadmin $ASADMIN_OPTS create-jvm-options "\-Ddataverse.files.<id>.label=<label>"

Custom Homepage¶

The Dataverse Software allows you to use a custom homepage or welcome page in place of the default root Dataverse collection page. This allows for complete control over the look and feel of your installation’s homepage.

Download this sample: custom-homepage.html and place it at /var/www/dataverse/branding/custom-homepage.html.

Once you have the location of your custom homepage HTML file, run this curl command to add it to your settings:

curl -X PUT -d '/var/www/dataverse/branding/custom-homepage.html' http://localhost:8080/api/admin/settings/:HomePageCustomizationFile

If you prefer to start with less of a blank slate, you can download the custom-homepage-dynamic.html template which was built for the Harvard Dataverse Repository, and includes branding messaging, action buttons, search input, subject links, and recent dataset links. This page was built to utilize the Metrics API to deliver dynamic content to the page via javascript.

Note that the custom-homepage.html and custom-homepage-dynamic.html files provided have multiple elements that assume your root Dataverse collection still has an alias of “root”. While you were branding your root Dataverse collection, you may have changed the alias to “harvard” or “librascholar” or whatever and you should adjust the custom homepage code as needed.

For more background on what this curl command above is doing, see the “Database Settings” section below. If you decide you’d like to remove this setting, use the following curl command:

curl -X DELETE http://localhost:8080/api/admin/settings/:HomePageCustomizationFile

Custom Navbar Logo¶

The Dataverse Software allows you to replace the default Dataverse Project icon and name branding in the navbar with your own custom logo. Note that this logo is separate from the root dataverse theme logo.

The custom logo image file is expected to be small enough to fit comfortably in the navbar, no more than 50 pixels in height and 160 pixels in width. Create a navbar directory in your Payara logos directory and place your custom logo there. By default, your logo image file will be located at /usr/local/payara5/glassfish/domains/domain1/docroot/logos/navbar/logo.png.

Once you have the location of your custom logo image file, run this curl command to add it to your settings:

curl -X PUT -d '/logos/navbar/logo.png' http://localhost:8080/api/admin/settings/:LogoCustomizationFile

Custom Header¶

Download this sample: custom-header.html and place it at /var/www/dataverse/branding/custom-header.html.

Once you have the location of your custom header HTML file, run this curl command to add it to your settings:

curl -X PUT -d '/var/www/dataverse/branding/custom-header.html' http://localhost:8080/api/admin/settings/:HeaderCustomizationFile

If you have enabled a custom header or navbar logo, you might prefer to disable the theme of the root dataverse. You can do so by setting :DisableRootDataverseTheme to true like this:

curl -X PUT -d 'true' http://localhost:8080/api/admin/settings/:DisableRootDataverseTheme

Please note: Disabling the display of the root Dataverse collection theme also disables your ability to edit it. Remember that Dataverse collection owners can set their Dataverse collections to “inherit theme” from the root. Those Dataverse collections will continue to inherit the root Dataverse collection theme (even though it no longer displays on the root). If you would like to edit the root Dataverse collection theme in the future, you will have to re-enable it first.

Custom Footer¶

Download this sample: custom-footer.html and place it at /var/www/dataverse/branding/custom-footer.html.

Once you have the location of your custom footer HTML file, run this curl command to add it to your settings:

curl -X PUT -d '/var/www/dataverse/branding/custom-footer.html' http://localhost:8080/api/admin/settings/:FooterCustomizationFile

Custom Stylesheet¶

You can style your custom homepage, footer and header content with a custom CSS file. With advanced CSS know-how, you can achieve custom branding and page layouts by utilizing position, padding or margin properties.

Download this sample: custom-stylesheet.css and place it at /var/www/dataverse/branding/custom-stylesheet.css.

Once you have the location of your custom CSS file, run this curl command to add it to your settings:

curl -X PUT -d '/var/www/dataverse/branding/custom-stylesheet.css' http://localhost:8080/api/admin/settings/:StyleCustomizationFile

Adding Multiple Languages to the Dropdown in the Header¶

The presence of the :Languages database setting adds a dropdown in the header for multiple languages. For example to add English and French to the dropdown:

curl http://localhost:8080/api/admin/settings/:Languages -X PUT -d '[{"locale":"en","title":"English"},{"locale":"fr","title":"Français"}]'

Configuring the “lang” Directory¶

Translations for the Dataverse Software are stored in “properties” files in a directory on disk (e.g. /home/dataverse/langBundles) that you specify with the dataverse.lang.directory dataverse.lang.directory JVM option, like this:

./asadmin create-jvm-options '-Ddataverse.lang.directory=/home/dataverse/langBundles'

Go ahead and create the directory you specified.

mkdir /home/dataverse/langBundles

Creating a languages.zip File¶

The Dataverse Software provides and API endpoint for adding languages using a zip file.

First, clone the “dataverse-language-packs” git repo.

git clone https://github.com/GlobalDataverseCommunityConsortium/dataverse-language-packs.git

Take a look at https://github.com/GlobalDataverseCommunityConsortium/dataverse-language-packs/branches to see if the version of the Dataverse Software you’re running has translations.

Change to the directory for the git repo you just cloned.

cd dataverse-language-packs

Switch (git checkout) to the branch based on the Dataverse Software version you are running. The branch “dataverse-v4.13” is used in the example below.

export BRANCH_NAME=dataverse-v4.13

git checkout $BRANCH_NAME

Create a “languages” directory in “/tmp”.

mkdir /tmp/languages

Copy the properties files into the “languages” directory

cp -R en_US/*.properties /tmp/languages

cp -R fr_CA/*.properties /tmp/languages

Create the zip file

cd /tmp/languages

zip languages.zip *.properties

Load the languages.zip file into your Dataverse Installation¶

Now that you have a “languages.zip” file, you can load it into your Dataverse installation with the command below.

curl http://localhost:8080/api/admin/datasetfield/loadpropertyfiles -X POST --upload-file /tmp/languages/languages.zip -H "Content-Type: application/zip"

Click on the languages using the drop down in the header to try them out.

How to Help Translate the Dataverse Software Into Your Language¶

Please join the dataverse-internationalization-wg mailing list and contribute to https://github.com/GlobalDataverseCommunityConsortium/dataverse-language-packs to help translate the Dataverse Software into various languages!

Some external tools are also ready to be translated, especially if they are using the {localeCode} reserved word in their tool manifest. For details, see the Building External Tools section of the API Guide.

Tracking Button Clicks¶

The basic analytics configuration above tracks page navigation. However, it does not capture potentially interesting events, such as those from users clicking buttons on pages, that do not result in a new page opening. In a Dataverse installation, these events include file downloads, requesting access to restricted data, exporting metadata, social media sharing, requesting citation text, launching external tools, contacting authors, and launching computations.

Both Google and Matomo provide the optional capability to track such events and the Dataverse Software has added CSS style classes (btn-compute, btn-contact, btn-download, btn-explore, btn-export, btn-preview, btn-request, btn-share, and downloadCitation) to it’s HTML to facilitate it.

For Google Analytics, the example script at analytics-code.html will track both page hits and events within your Dataverse installation. You would use this file in the same way as the shorter example above, putting it somewhere outside your deployment directory, replacing YOUR ACCOUNT CODE with your actual code and setting :WebAnalyticsCode to reference it.

Once this script is running, you can look in the Google Analytics console (Realtime/Events or Behavior/Events) and view events by type and/or the Dataset or File the event involves.

Duracloud Configuration¶

Also note that while the current Chronopolis implementation generates the bag and submits it to the archive’s DuraCloud interface, the step to make a ‘snapshot’ of the space containing the Bag (and verify it’s successful submission) are actions a curator must take in the DuraCloud interface.

The minimal configuration to support an archiver integration involves adding a minimum of two Dataverse Software Keys and any required Payara jvm options. The example instructions here are specific to the DuraCloud Archiver:

:ArchiverClassName - the fully qualified class to be used for archiving. For example:

curl http://localhost:8080/api/admin/settings/:ArchiverClassName -X PUT -d "edu.harvard.iq.dataverse.engine.command.impl.DuraCloudSubmitToArchiveCommand"

:ArchiverSettings - the archiver class can access required settings including existing Dataverse installation settings and dynamically defined ones specific to the class. This setting is a comma-separated list of those settings. For example:

curl http://localhost:8080/api/admin/settings/:ArchiverSettings -X PUT -d ":DuraCloudHost, :DuraCloudPort, :DuraCloudContext"

The DPN archiver defines three custom settings, one of which is required (the others have defaults):

:DuraCloudHost - the URL for your organization’s Duracloud site. For example:

curl http://localhost:8080/api/admin/settings/:DuraCloudHost -X PUT -d "qdr.duracloud.org"

:DuraCloudPort and :DuraCloudContext are also defined if you are not using the defaults (“443” and “duracloud” respectively). (Note: these settings are only in effect if they are listed in the :ArchiverSettings. Otherwise, they will not be passed to the DuraCloud Archiver class.)

Archivers may require JVM options as well. For the Chronopolis archiver, the username and password associated with your organization’s Chronopolis/DuraCloud account should be configured in Payara:

./asadmin create-jvm-options '-Dduracloud.username=YOUR_USERNAME_HERE'

./asadmin create-jvm-options '-Dduracloud.password=YOUR_PASSWORD_HERE'

Local Path Configuration¶

ArchiverClassName - the fully qualified class to be used for archiving. For example:

curl -X PUT -d "edu.harvard.iq.dataverse.engine.command.impl.LocalSubmitToArchiveCommand" http://localhost:8080/api/admin/settings/:ArchiverClassName

:BagItLocalPath - the path to where you want to store BagIt. For example:

curl -X PUT -d /home/path/to/storage http://localhost:8080/api/admin/settings/:BagItLocalPath

:ArchiverSettings - the archiver class can access required settings including existing Dataverse installation settings and dynamically defined ones specific to the class. This setting is a comma-separated list of those settings. For example:

curl http://localhost:8080/api/admin/settings/:ArchiverSettings -X PUT -d ":BagItLocalPath"

:BagItLocalPath is the file path that you’ve set in :ArchiverSettings.

Google Cloud Configuration¶

The Google Cloud Archiver can send Dataverse Project Bags to a bucket in Google’s cloud, including those in the ‘Coldline’ storage class (cheaper, with slower access)

curl http://localhost:8080/api/admin/settings/:ArchiverClassName -X PUT -d "edu.harvard.iq.dataverse.engine.command.impl.GoogleCloudSubmitToArchiveCommand"

curl http://localhost:8080/api/admin/settings/:ArchiverSettings -X PUT -d ":GoogleCloudBucket, :GoogleCloudProject"

The Google Cloud Archiver defines two custom settings, both are required. The credentials for your account, in the form of a json key file, must also be obtained and stored locally (see below):

In order to use the Google Cloud Archiver, you must have a Google account. You will need to create a project and bucket within that account and provide those values in the settings:

:GoogleCloudBucket - the name of the bucket to use. For example:

curl http://localhost:8080/api/admin/settings/:GoogleCloudBucket -X PUT -d "qdr-archive"

:GoogleCloudProject - the name of the project managing the bucket. For example:

curl http://localhost:8080/api/admin/settings/:GoogleCloudProject -X PUT -d "qdr-project"

The Google Cloud Archiver also requires a key file that must be renamed to ‘googlecloudkey.json’ and placed in the directory identified by your ‘dataverse.files.directory’ jvm option. This file can be created in the Google Cloud Console. (One method: Navigate to your Project ‘Settings’/’Service Accounts’, create an account, give this account the ‘Cloud Storage’/’Storage Admin’ role, and once it’s created, use the ‘Actions’ menu to ‘Create Key’, selecting the ‘JSON’ format option. Use this as the ‘googlecloudkey.json’ file.)

For example:

cp <your key file> /usr/local/payara5/glassfish/domains/domain1/files/googlecloudkey.json

API Call¶

Once this configuration is complete, you, as a user with the PublishDataset permission, should be able to use the API call to manually submit a DatasetVersion for processing:

curl -H "X-Dataverse-key: <key>" http://localhost:8080/api/admin/submitDataVersionToArchive/{id}/{version}

where:

{id} is the DatasetId (or :persistentId with the ?persistentId="<DOI>" parameter), and

{version} is the friendly version number, e.g. “1.2”.

The submitDataVersionToArchive API (and the workflow discussed below) attempt to archive the dataset version via an archive specific method. For Chronopolis, a DuraCloud space named for the dataset (it’s DOI with ‘:’ and ‘.’ replaced with ‘-‘) is created and two files are uploaded to it: a version-specific datacite.xml metadata file and a BagIt bag containing the data and an OAI-ORE map file. (The datacite.xml file, stored outside the Bag as well as inside is intended to aid in discovery while the ORE map file is ‘complete’, containing all user-entered metadata and is intended as an archival record.)

In the Chronopolis case, since the transfer from the DuraCloud front-end to archival storage in Chronopolis can take significant time, it is currently up to the admin/curator to submit a ‘snap-shot’ of the space within DuraCloud and to monitor its successful transfer. Once transfer is complete the space should be deleted, at which point the Dataverse Software API call can be used to submit a Bag for other versions of the same Dataset. (The space is reused, so that archival copies of different Dataset versions correspond to different snapshots of the same DuraCloud space.).

PostPublication Workflow¶

To automate the submission of archival copies to an archive as part of publication, one can setup a Dataverse Software Workflow using the “archiver” workflow step - see the Workflows guide.

The archiver step uses the configuration information discussed above including the :ArchiverClassName setting. The workflow step definition should include the set of properties defined in :ArchiverSettings in the workflow definition.

To active this workflow, one must first install a workflow using the archiver step. A simple workflow that invokes the archiver step configured to submit to DuraCloud as its only action is included in the Dataverse Software at /scripts/api/data/workflows/internal-archiver-workflow.json.

Using the Workflow Native API (see the Native API guide) this workflow can be installed using:

curl -X POST -H 'Content-type: application/json' --upload-file internal-archiver-workflow.json http://localhost:8080/api/admin/workflows

The workflow id returned in this call (or available by doing a GET of /api/admin/workflows ) can then be submitted as the default PostPublication workflow:

curl -X PUT -d {id} http://localhost:8080/api/admin/workflows/default/PostPublishDataset

Once these steps are taken, new publication requests will automatically trigger submission of an archival copy to the specified archiver, Chronopolis’ DuraCloud component in this example. For Chronopolis, as when using the API, it is currently the admin’s responsibility to snap-shot the DuraCloud space and monitor the result. Failure of the workflow, (e.g. if DuraCloud is unavailable, the configuration is wrong, or the space for this dataset already exists due to a prior publication action or use of the API), will create a failure message but will not affect publication itself.

Letting Search Engines Crawl Your Installation¶

# don't let Payara serve its version of robots.txt
ProxyPassMatch ^/robots.txt$ !

Putting Your Dataverse Installation on the Map at dataverse.org¶

Congratulations! You’ve gone live! It’s time to announce your new data repository to the world! You are also welcome to contact support@dataverse.org to have the Dataverse Project Team add your installation to the map at http://dataverse.org . Thank you for installing the Dataverse Software!

Administration of Your Dataverse Installation¶

Now that you’re live you’ll want to review the Admin Guide for more information about the ongoing administration of a Dataverse installation.

Setting Up Integrations¶

Before going live, you might want to consider setting up integrations to make it easier for your users to deposit or explore data. See the Integrations section of the Admin Guide for details.

dataverse.fqdn¶

If the Dataverse installation has multiple DNS names, this option specifies the one to be used as the “official” host name. For example, you may want to have dataverse.example.edu, and not the less appealing server-123.socsci.example.edu to appear exclusively in all the registered global identifiers, Data Deposit API records, etc.

The password reset feature requires dataverse.fqdn to be configured.

dataverse.siteUrl¶

dataverse.files.directory¶

This is how you configure the path to which files uploaded by users are stored.

dataverse.auth.password-reset-timeout-in-minutes¶

Users have 60 minutes to change their passwords by default. You can adjust this value here.

dataverse.db.name¶

The PostgreSQL database name to use for the Dataverse installation.

Defaults to dataverse (but the installer sets it to dvndb).

Can also be set via MicroProfile Config API sources, e.g. the environment variable DATAVERSE_DB_NAME.

dataverse.db.user¶

The PostgreSQL user name to connect with.

Defaults to dataverse (but the installer sets it to dvnapp).

Can also be set via MicroProfile Config API sources, e.g. the environment variable DATAVERSE_DB_USER.

dataverse.db.password¶

The PostgreSQL users password to connect with.

Preferrably use a JVM alias, as passwords in environment variables aren’t safe.

echo "AS_ADMIN_ALIASPASSWORD=change-me-super-secret" > /tmp/password.txt
asadmin create-password-alias --passwordfile /tmp/password.txt dataverse.db.password
rm /tmp/password.txt

Can also be set via MicroProfile Config API sources, e.g. the environment variable DATAVERSE_DB_PASSWORD.

dataverse.db.host¶

The PostgreSQL server to connect to.

Defaults to localhost.

Can also be set via MicroProfile Config API sources, e.g. the environment variable DATAVERSE_DB_HOST.

dataverse.db.port¶

The PostgreSQL server port to connect to.

Defaults to 5432, the default PostgreSQL port.

Can also be set via MicroProfile Config API sources, e.g. the environment variable DATAVERSE_DB_PORT.

dataverse.rserve.host¶

Configuration for TwoRavens.

dataverse.rserve.port¶

Configuration for TwoRavens.

dataverse.rserve.user¶

Configuration for TwoRavens.

dataverse.rserve.tempdir¶

Configuration for TwoRavens.

dataverse.rserve.password¶

Configuration for TwoRavens.

dataverse.dropbox.key¶

Dropbox provides a Chooser app, which is a Javascript component that allows you to upload files to your Dataverse installation from Dropbox. It is an optional configuration setting, which requires you to pass it an app key and configure the :UploadMethods database setting. For more information on setting up your Chooser app, visit https://www.dropbox.com/developers/chooser.

./asadmin create-jvm-options "-Ddataverse.dropbox.key={{YOUR_APP_KEY}}"

dataverse.path.imagemagick.convert¶

For overriding the default path to the convert binary from ImageMagick (/usr/bin/convert).

dataverse.dataAccess.thumbnail.image.limit¶

For limiting the size (in bytes) of thumbnail images generated from files.

dataverse.dataAccess.thumbnail.pdf.limit¶

For limiting the size (in bytes) of thumbnail images generated from files.

doi.baseurlstring¶

As of this writing, “https://mds.datacite.org” (DataCite) and “https://ezid.cdlib.org” (EZID) are the main valid values.

While the above two options are recommended because they have been tested by the Dataverse Project Team, it is also possible to use a DataCite Client API as a proxy to DataCite. In this case, requests made to the Client API are captured and passed on to DataCite for processing. The application will interact with the DataCite Client API exactly as if it were interacting directly with the DataCite API, with the only difference being the change to the base endpoint URL.

For example, the Australian Data Archive (ADA) successfully uses the Australian National Data Service (ANDS) API (a proxy for DataCite) to mint their DOIs through their Dataverse installation using a doi.baseurlstring value of “https://researchdata.ands.org.au/api/doi/datacite” as documented at https://documentation.ands.org.au/display/DOC/ANDS+DataCite+Client+API . As ADA did for ANDS DOI minting, any DOI provider (and their corresponding DOI configuration parameters) other than DataCite must be tested with the Dataverse Software to establish whether or not it will function properly.

Out of the box, the Dataverse Software is configured to use a test MDS DataCite base URL string. You can delete it like this:

./asadmin delete-jvm-options '-Ddoi.baseurlstring=https\://mds.test.datacite.org'

Then, to switch to production DataCite, you can issue the following command:

./asadmin create-jvm-options '-Ddoi.baseurlstring=https\://mds.datacite.org'

See also these related database settings below:

• :DoiProvider
• :Protocol
• :Authority
• :Shoulder

doi.dataciterestapiurlstring¶

This configuration option affects the updateCitationsForDataset API endpoint documented under Configuring Your Dataverse Installation for Make Data Count Citations in the Admin Guide as well as the /pids/* API.

As of this writing, “https://api.datacite.org” (DataCite) and “https://api.test.datacite.org” (DataCite Testing) are the main valid values.

Out of the box, the Dataverse Software is configured to use a test DataCite REST API base URL string. You can delete it like this:

./asadmin delete-jvm-options '-Ddoi.dataciterestapiurlstring=https\://api.test.datacite.org'

Then, to switch to production DataCite, you can issue the following command:

./asadmin create-jvm-options '-Ddoi.dataciterestapiurlstring=https\://api.datacite.org'

For backward compatibility, if this option is not defined, the value of ‘-Ddoi.mdcbaseurlstring’ is used if set. If not the default used is “https://api.datacite.org:.

See also these related database settings below:

• :MDCLogPath
• :DisplayMDCMetrics

doi.username¶

Used in conjuction with doi.baseurlstring.

Once you have a username from your provider, you can enter it like this:

./asadmin create-jvm-options '-Ddoi.username=YOUR_USERNAME_HERE'

doi.password¶

Used in conjuction with doi.baseurlstring.

Once you have a password from your provider, you can enter it like this:

./asadmin create-jvm-options '-Ddoi.password=YOUR_PASSWORD_HERE'

dataverse.handlenet.admcredfile¶

If you’re using handles, this JVM setting configures access credentials so your Dataverse installation can talk to your Handle.Net server. This is the private key generated during Handle.Net server installation. Typically the full path is set to handle/svr_1/admpriv.bin. Please refer to Handle.Net’s documentation for more info.

dataverse.handlenet.admprivphrase¶

This JVM setting is also part of handles configuration. The Handle.Net installer lets you choose whether to encrypt the admcredfile private key or not. If you do encrypt it, this is the pass phrase that it’s encrypted with.

dataverse.handlenet.index¶

If you want to use different index than the default 300

dataverse.timerServer¶

This JVM option is only relevant if you plan to run multiple Payara servers for redundancy. Only one Payara server can act as the dedicated timer server and for details on promoting or demoting a Payara server to handle this responsibility, see Dataverse Installation Application Timers.

dataverse.lang.directory¶

This JVM option is used to configure the path where all the language specific property files are to be stored. If this option is set then the English property file must be present in the path along with any other language property file. You can download language property files from https://github.com/GlobalDataverseCommunityConsortium/dataverse-language-packs

./asadmin create-jvm-options '-Ddataverse.lang.directory=PATH_LOCATION_HERE'

If this value is not set, by default, a Dataverse installation will read the English language property files from the Java Application.

See also Internationalization.

dataverse.files.hide-schema-dot-org-download-urls¶

Please note that this setting is experimental.

By default, download URLs to files will be included in Schema.org JSON-LD output. To prevent these URLs from being included in the output, set dataverse.files.hide-schema-dot-org-download-urls to true as in the example below.

./asadmin create-jvm-options '-Ddataverse.files.hide-schema-dot-org-download-urls=true'

Please note that there are other reasons why download URLs may not be included for certain files such as if a guestbook entry is required or if the file is restricted.

For more on Schema.org JSON-LD, see the Metadata Export section of the Admin Guide.

dataverse.useripaddresssourceheader¶

Make sure to read the section about the Security Implications of using this option earlier in the guide!

If set, specifies an HTTP Header such as X-Forwarded-For to use to retrieve the user’s IP address. For example:

./asadmin create-jvm-options '-Ddataverse.useripaddresssourceheader=X-Forwarded-For'

This setting is useful in cases such as running your Dataverse installation behind load balancers where the default option of getting the Remote Address from the servlet isn’t correct (e.g. it would be the load balancer IP address). Note that unless your installation always sets the header you configure here, this could be used as a way to spoof the user’s address. Allowed values are:

"X-Forwarded-For",
"Proxy-Client-IP",
"WL-Proxy-Client-IP",
"HTTP_X_FORWARDED_FOR",
"HTTP_X_FORWARDED",
"HTTP_X_CLUSTER_CLIENT_IP",
"HTTP_CLIENT_IP",
"HTTP_FORWARDED_FOR",
"HTTP_FORWARDED",
"HTTP_VIA",
"REMOTE_ADDR"

http.request-timeout-seconds¶

To facilitate large file upload and download, the Dataverse Software installer bumps the Payara server-config.network-config.protocols.protocol.http-listener-1.http.request-timeout-seconds setting from its default 900 seconds (15 minutes) to 1800 (30 minutes). Should you wish to shorten or lengthen this window, issue for example:

./asadmin set server-config.network-config.protocols.protocol.http-listener-1.http.request-timeout-seconds=3600

and restart Payara to apply your change.

:BlockedApiPolicy¶

:BlockedApiPolicy affects access to the list of API endpoints defined in :BlockedApiEndpoints.

Out of the box, localhost-only is the default policy, as mentioned in Blocking API Endpoints. The other valid options are the following.

• localhost-only: Allow from localhost.
• unblock-key: Require a key defined in :BlockedApiKey.
• drop: Disallow the blocked endpoints completely.

Below is an example of setting localhost-only.

curl -X PUT -d localhost-only http://localhost:8080/api/admin/settings/:BlockedApiPolicy

:BlockedApiEndpoints¶

A comma-separated list of API endpoints to be blocked. For a standard production installation, the installer blocks both “admin” and “builtin-users” by default per the security section above:

curl -X PUT -d "admin,builtin-users" http://localhost:8080/api/admin/settings/:BlockedApiEndpoints

See the Lists of Dataverse APIs for lists of API endpoints.

:BlockedApiKey¶

:BlockedApiKey is used in conjunction with :BlockedApiEndpoints and :BlockedApiPolicy and will not be enabled unless the policy is set to unblock-key as demonstrated below. Please note that the order is significant. You should set :BlockedApiKey first to prevent locking yourself out.

curl -X PUT -d s3kretKey http://localhost:8080/api/admin/settings/:BlockedApiKey

curl -X PUT -d unblock-key http://localhost:8080/api/admin/settings/:BlockedApiPolicy

Now that :BlockedApiKey has been enabled, blocked APIs can be accessed using the query parameter unblock-key=theKeyYouChose as in the example below.

curl https://demo.dataverse.org/api/admin/settings?unblock-key=theKeyYouChose

BuiltinUsers.KEY¶

The key required to create users via API as documented at Native API. Unlike other database settings, this one doesn’t start with a colon.

curl -X PUT -d builtInS3kretKey http://localhost:8080/api/admin/settings/BuiltinUsers.KEY

:SearchApiRequiresToken¶

In Dataverse Software 4.7 and lower, the Search API required an API token, but as of Dataverse Software 4.7.1 this is no longer the case. If you prefer the old behavior of requiring API tokens to use the Search API, set :SearchApiRequiresToken to true.

curl -X PUT -d true http://localhost:8080/api/admin/settings/:SearchApiRequiresToken

:SystemEmail¶

This is the email address that “system” emails are sent from such as password reset links. Your Dataverse installation will not send mail without this setting in place.

curl -X PUT -d 'LibraScholar SWAT Team <support@librascholar.edu>' http://localhost:8080/api/admin/settings/:SystemEmail

Note that only the email address is required, which you can supply without the < and > signs, but if you include the text, it’s the way to customize the name of your support team, which appears in the “from” address in emails as well as in help text in the UI.

Please note that if you’re having any trouble sending email, you can refer to “Troubleshooting” under Installation.

:HomePageCustomizationFile¶

See Branding Your Installation above.

:LogoCustomizationFile¶

See Branding Your Installation above.

:HeaderCustomizationFile¶

See Branding Your Installation above.

:DisableRootDataverseTheme¶

See Branding Your Installation above.

:FooterCustomizationFile¶

See Branding Your Installation above.

:StyleCustomizationFile¶

See Branding Your Installation above.

:WebAnalyticsCode¶

See Web Analytics Code above.

:FooterCopyright¶

By default the footer says “Copyright © [YYYY]” but you can add text after the year, as in the example below.

curl -X PUT -d ", Your Institution" http://localhost:8080/api/admin/settings/:FooterCopyright

:DoiProvider¶

As of this writing “DataCite” and “EZID” are the only valid options for production installations. Developers using Dataverse Software 4.10+ are welcome to use the keyword “FAKE” to configure a non-production installation with an non-resolving, in-code provider, which will basically short-circuit the DOI publishing process. :DoiProvider is only needed if you are using DOI.

curl -X PUT -d DataCite http://localhost:8080/api/admin/settings/:DoiProvider

This setting relates to the :Protocol, :Authority, :Shoulder, and :IdentifierGenerationStyle database settings below as well as the following JVM options:

• doi.baseurlstring
• doi.username
• doi.password

:Protocol¶

As of this writing “doi” and “hdl” are the only valid option for the protocol for a persistent ID.

curl -X PUT -d doi http://localhost:8080/api/admin/settings/:Protocol

:Authority¶

Use the authority assigned to you by your DoiProvider or HandleProvider.

Please note that the authority cannot have a slash (“/”) in it.

curl -X PUT -d 10.xxxx http://localhost:8080/api/admin/settings/:Authority

:Shoulder¶

Out of the box, the DOI shoulder is set to “FK2/” but this is for testing only! When you apply for your DOI namespace, you may have requested a shoulder. The following is only an example and a trailing slash is optional.

curl -X PUT -d "MyShoulder/" http://localhost:8080/api/admin/settings/:Shoulder

:IdentifierGenerationStyle¶

By default, the Dataverse Software generates a random 6 character string, pre-pended by the Shoulder if set, to use as the identifier for a Dataset. Set this to sequentialNumber to use sequential numeric values instead (again pre-pended by the Shoulder if set). (the assumed default setting is randomString). In addition to this setting, a database sequence must be created in the database. We provide the script below (downloadable here). You may need to make some changes to suit your system setup, see the comments for more information:

-- A script for creating a numeric identifier sequence, and an external 
-- stored procedure, for accessing the sequence from inside the application, 
-- in a non-hacky, JPA way. 

-- NOTE:

-- 1. The database user name "dvnapp" is hard-coded here - it may
-- need to be changed to match your database user name;
  
-- 2. In the code below, the sequence starts with 1, but it can be adjusted by
-- changing the MINVALUE as needed. 

CREATE SEQUENCE datasetidentifier_seq
  INCREMENT 1
  MINVALUE 1
  MAXVALUE 9223372036854775807
  START 1
CACHE 1;

ALTER TABLE datasetidentifier_seq OWNER TO "dvnapp";

-- And now create a PostgreSQL FUNCTION, for JPA to
-- access as a NamedStoredProcedure:

CREATE OR REPLACE FUNCTION generateIdentifierAsSequentialNumber(
    OUT identifier int)
  RETURNS int AS
$BODY$
BEGIN
    select nextval('datasetidentifier_seq') into identifier;
END;
$BODY$
  LANGUAGE plpgsql;

Note that the SQL above is Postgres-specific. If necessary, it can be reimplemented in any other SQL flavor - the standard JPA code in the application simply expects the database to have a saved function (“stored procedure”) named generateIdentifierAsSequentialNumber with the single return argument identifier.

Please note that :IdentifierGenerationStyle also plays a role for the “identifier” for files. See the section on :DataFilePIDFormat below for more details.

:DataFilePIDFormat¶

This setting controls the way that the “identifier” component of a file’s persistent identifier (PID) relates to the PID of its “parent” dataset.

By default the identifier for a file is dependent on its parent dataset. For example, if the identifier of a dataset is “TJCLKP”, the identifier for a file within that dataset will consist of the parent dataset’s identifier followed by a slash (“/”), followed by a random 6 character string, yielding “TJCLKP/MLGWJO”. Identifiers in this format are what you should expect if you leave :DataFilePIDFormat undefined or set it to DEPENDENT and have not changed the :IdentifierGenerationStyle setting from its default.

Alternatively, the identifier for File PIDs can be configured to be independent of Dataset PIDs using the setting “INDEPENDENT”. In this case, file PIDs will not contain the PIDs of their parent datasets, and their PIDs will be generated the exact same way that datasets’ PIDs are, based on the :IdentifierGenerationStyle setting described above (random 6 character strings or sequential numbers, pre-pended by any shoulder).

The chart below shows examples from each possible combination of parameters from the two settings. :IdentifierGenerationStyle can be either randomString (the default) or sequentialNumber and :DataFilePIDFormat can be either DEPENDENT (the default) or INDEPENDENT. In the examples below the “identifier” for the dataset is “TJCLKP” for “randomString” and “100001” for “sequentialNumber”.

As seen above, in cases where :IdentifierGenerationStyle is set to sequentialNumber and :DataFilePIDFormat is set to DEPENDENT, each file within a dataset will be assigned a number within that dataset starting with “1”.

Otherwise, if :DataFilePIDFormat is set to INDEPENDENT, then each file will be assigned a PID with the next number in the overall sequence, regardless of what dataset it is in. If the file is created after a dataset with the PID 100001, then the file will be assigned the PID 100002. This option is functional, but it is not a recommended use case.

Note that in either case, when using the sequentialNumber option, datasets and files share the same database sequence that was created as part of the setup described in :IdentifierGenerationStyle above.

:FilePIDsEnabled¶

Toggles publishing of file-based PIDs for the entire installation. By default this setting is absent and Dataverse Software assumes it to be true. If enabled, the registration will be performed asynchronously (in the background) during publishing of a dataset.

If you don’t want to register file-based PIDs for your installation, set:

curl -X PUT -d 'false' http://localhost:8080/api/admin/settings/:FilePIDsEnabled

Note: File-level PID registration was added in Dataverse Software 4.9; it could not be disabled until Dataverse Software 4.9.3.

:IndependentHandleService¶

Specific for Handle PIDs. Set this setting to true if you want to use a Handle service which is setup to work ‘independently’ (No communication with the Global Handle Registry). By default this setting is absent and the Dataverse Software assumes it to be false.

curl -X PUT -d 'true' http://localhost:8080/api/admin/settings/:IndependentHandleService

:FileValidationOnPublishEnabled¶

Toggles validation of the physical files in the dataset when it’s published, by recalculating the checksums and comparing against the values stored in the DataFile table. By default this setting is absent and the Dataverse Software assumes it to be true. If enabled, the validation will be performed asynchronously, similarly to how we handle assigning persistent identifiers to datafiles, with the dataset locked for the duration of the publishing process.

If you don’t want the datafiles to be validated on publish, set:

curl -X PUT -d 'false' http://localhost:8080/api/admin/settings/:FileValidationOnPublishEnabled

:ApplicationTermsOfUse¶

Upload an default language HTML file containing the Terms of Use to be displayed at sign up. Supported HTML tags are listed under the Dataset + File Management section of the User Guide.

curl -X PUT -d@/tmp/apptou.html http://localhost:8080/api/admin/settings/:ApplicationTermsOfUse

To upload a language specific Terms of Use file,

curl -X PUT -d@/tmp/apptou_fr.html http://localhost:8080/api/admin/settings/:ApplicationTermsOfUse/lang/fr

To delete language specific option,

curl -X DELETE http://localhost:8080/api/admin/settings/:ApplicationTermsOfUse/lang/fr

:ApplicationPrivacyPolicyUrl¶

Specify a URL where users can read your Privacy Policy, linked from the bottom of the page.

curl -X PUT -d https://dataverse.org/best-practices/harvard-dataverse-privacy-policy http://localhost:8080/api/admin/settings/:ApplicationPrivacyPolicyUrl

:ApiTermsOfUse¶

Specify a URL where users can read your API Terms of Use. API users can retrieve this URL from the SWORD Service Document or the Info section of our Native API documentation.

curl -X PUT -d https://dataverse.org/best-practices/harvard-api-tou http://localhost:8080/api/admin/settings/:ApiTermsOfUse

:ExcludeEmailFromExport¶

See also Privacy Considerations above.

Set :ExcludeEmailFromExport to prevent email addresses for contacts from being exposed in XML or JSON representations of dataset and Dataverse collection metadata. For a list exported formats such as DDI, see the Metadata Export section of the Admin Guide.

curl -X PUT -d true http://localhost:8080/api/admin/settings/:ExcludeEmailFromExport

Note: After making a change to this setting, a reExportAll needs to be run before the changes will be reflected in the exports:

curl http://localhost:8080/api/admin/metadata/reExportAll

This will force a re-export of every published, local dataset, regardless of whether it has already been exported or not.

:NavbarAboutUrl¶

Set NavbarAboutUrl to a fully-qualified URL which will be used for the “About” link in the navbar.

Note: The “About” link will not appear in the navbar until this option is set.

curl -X PUT -d http://dataverse.example.edu http://localhost:8080/api/admin/settings/:NavbarAboutUrl

:NavbarGuidesUrl¶

Set :NavbarGuidesUrl to a fully-qualified URL which will be used for the “User Guide” link in the navbar.

Note: by default, the URL is composed from the settings :GuidesBaseUrl and :GuidesVersion below.

curl -X PUT -d http://example.edu/fancy-dataverse-guide http://localhost:8080/api/admin/settings/:NavbarGuidesUrl

:GuidesBaseUrl¶

Set GuidesBaseUrl to override the default value “http://guides.dataverse.org”. If you are interested in writing your own version of the guides, you may find the Writing Documentation section of the Developer Guide helpful.

curl -X PUT -d http://dataverse.example.edu http://localhost:8080/api/admin/settings/:GuidesBaseUrl

:GuidesVersion¶

Set :GuidesVersion to override the version number in the URL of guides. For example, rather than http://guides.dataverse.org/en/4.6/user/account.html the version is overriden to http://guides.dataverse.org/en/1234-new-feature/user/account.html in the example below:

curl -X PUT -d 1234-new-feature http://localhost:8080/api/admin/settings/:GuidesVersion

:NavbarSupportUrl¶

Set :NavbarSupportUrl to a fully-qualified URL which will be used for the “Support” link in the navbar.

Note that this will override the default behaviour for the “Support” menu option, which is to display the Dataverse collection ‘feedback’ dialog.

curl -X PUT -d http://dataverse.example.edu/supportpage.html http://localhost:8080/api/admin/settings/:NavbarSupportUrl

:MetricsUrl¶

Make the metrics component on the root Dataverse collection a clickable link to a website where you present metrics on your Dataverse installation, perhaps one of the community-supported tools mentioned in the Reporting Tools and Common Queries section of the Admin Guide.

curl -X PUT -d http://metrics.dataverse.example.edu http://localhost:8080/api/admin/settings/:MetricsUrl

:MaxFileUploadSizeInBytes¶

This setting controls the maximum size of uploaded files. - To have one limit for all stores, set MaxFileUploadSizeInBytes to “2147483648”, for example, to limit the size of files uploaded to 2 GB:

curl -X PUT -d 2147483648 http://localhost:8080/api/admin/settings/:MaxFileUploadSizeInBytes

• To have limits per store with an optional default, use a serialized json object for the value of MaxFileUploadSizeInBytes with an entry per store, as in the following example, which maintains a 2 GB default and adds higher limits for stores with ids “fileOne” and “s3”.

curl -X PUT -d '{"default":"2147483648","fileOne":"4000000000","s3":"8000000000"}' http://localhost:8080/api/admin/settings/:MaxFileUploadSizeInBytes

Notes:

• For SWORD, this size is limited by the Java Integer.MAX_VALUE of 2,147,483,647. (see: https://github.com/IQSS/dataverse/issues/2169)
• If the MaxFileUploadSizeInBytes is NOT set, uploads, including SWORD may be of unlimited size.
• For larger file upload sizes, you may need to configure your reverse proxy timeout. If using apache2 (httpd) with Shibboleth, add a timeout to the ProxyPass defined in etc/httpd/conf.d/ssl.conf (which is described in the Shibboleth setup).

:ZipDownloadLimit¶

For performance reasons, your Dataverse installation will only create zip files on the fly up to 100 MB but the limit can be increased. Here’s an example of raising the limit to 1 GB:

curl -X PUT -d 1000000000 http://localhost:8080/api/admin/settings/:ZipDownloadLimit

:TabularIngestSizeLimit¶

Threshold in bytes for limiting whether or not “ingest” it attempted for tabular files (which can be resource intensive). For example, with the below in place, files greater than 2 GB in size will not go through the ingest process:

curl -X PUT -d 2000000000 http://localhost:8080/api/admin/settings/:TabularIngestSizeLimit

(You can set this value to 0 to prevent files from being ingested at all.)

You can override this global setting on a per-format basis for the following formats:

• DTA
• POR
• SAV
• Rdata
• CSV
• XLSX

For example, if you want your Dataverse installation to not attempt to ingest Rdata files larger than 1 MB, use this setting:

curl -X PUT -d 1000000 http://localhost:8080/api/admin/settings/:TabularIngestSizeLimit:Rdata

:ZipUploadFilesLimit¶

Limit the number of files in a zip that your Dataverse installation will accept. In the absence of this setting, your Dataverse instalation defaults to a limit of 1,000 files per zipfile.

curl -X PUT -d 2048 http://localhost:8080/api/admin/settings/:ZipUploadFilesLimit

:SolrHostColonPort¶

By default your Dataverse installation will attempt to connect to Solr on port 8983 on localhost. Use this setting to change the hostname or port. You must restart Payara after making this change.

curl -X PUT -d localhost:8983 http://localhost:8080/api/admin/settings/:SolrHostColonPort

:SolrFullTextIndexing¶

Whether or not to index the content of files such as PDFs. The default is false.

curl -X PUT -d true http://localhost:8080/api/admin/settings/:SolrFullTextIndexing

:SolrMaxFileSizeForFullTextIndexing¶

If :SolrFullTextIndexing is set to true, the content of files of any size will be indexed. To set a limit in bytes for which files to index in this way:

curl -X PUT -d 314572800 http://localhost:8080/api/admin/settings/:SolrMaxFileSizeForFullTextIndexing

:SignUpUrl¶

The relative path URL to which users will be sent for signup. The default setting is below.

curl -X PUT -d '/dataverseuser.xhtml?editMode=CREATE' http://localhost:8080/api/admin/settings/:SignUpUrl

:LoginSessionTimeout¶

Session timeout (in minutes) for logged-in users. The default is 8 hours (480 minutes). For the anonymous user sessions, the timeout is set to the default value, configured in the web.xml file of the Dataverse installation.

In the example below we reduce the timeout to 4 hours:

curl -X PUT -d 240 http://localhost:8080/api/admin/settings/:LoginSessionTimeout

:TwoRavensUrl¶

The :TwoRavensUrl option is no longer valid. See TwoRavens and the External Tools section of the Admin Guide.

:TwoRavensTabularView¶

The :TwoRavensTabularView option is no longer valid. See TwoRavens and the External Tools section of the Admin Guide.

:DatasetPublishPopupCustomText¶

Set custom text a user will view when publishing a dataset. Note that this text is exposed via the “Info” endpoint of the Native API.

curl -X PUT -d "Deposit License Requirements" http://localhost:8080/api/admin/settings/:DatasetPublishPopupCustomText

If you have a long text string, you can upload it as a file as in the example below.

curl -X PUT --upload-file /tmp/long.txt http://localhost:8080/api/admin/settings/:DatasetPublishPopupCustomText

:DatasetPublishPopupCustomTextOnAllVersions¶

Set whether a user will see the custom text when publishing all versions of a dataset

curl -X PUT -d true http://localhost:8080/api/admin/settings/:DatasetPublishPopupCustomTextOnAllVersions

:SearchHighlightFragmentSize¶

Set SearchHighlightFragmentSize to override the default value of 100 from https://wiki.apache.org/solr/HighlightingParameters#hl.fragsize . In practice, a value of “320” seemed to fix the issue at https://github.com/IQSS/dataverse/issues/2191

curl -X PUT -d 320 http://localhost:8080/api/admin/settings/:SearchHighlightFragmentSize

:ScrubMigrationData¶

Allow for migration of non-conformant data (especially dates) from Dataverse Software 3.x to Dataverse Software 4.x

:MinutesUntilConfirmEmailTokenExpires¶

The duration in minutes before “Confirm Email” URLs expire. The default is 1440 minutes (24 hours). See also the User Administration section of our Admin Guide.

:DefaultAuthProvider¶

If you have enabled Shibboleth and/or one or more OAuth providers, you may wish to make one of these authentication providers the default when users visit the Log In page. If unset, this will default to builtin but these valid options (depending if you’ve done the setup described in the Shibboleth or OAuth Login Options sections) are:

• builtin
• shib
• orcid
• github
• google

Here is an example of setting the default auth provider back to builtin:

curl -X PUT -d builtin http://localhost:8080/api/admin/settings/:DefaultAuthProvider

:AllowSignUp¶

Set to false to disallow local accounts from being created. See also the sections on Shibboleth and OAuth Login Options.

curl -X PUT -d 'false' http://localhost:8080/api/admin/settings/:AllowSignUp

:FileFixityChecksumAlgorithm¶

The Dataverse Software calculates checksums for uploaded files so that users can determine if their file was corrupted via upload or download. This is sometimes called “file fixity”: https://en.wikipedia.org/wiki/File_Fixity

The default checksum algorithm used is MD5 and should be sufficient for establishing file fixity. “SHA-1”, “SHA-256” and “SHA-512” are alternate values for this setting. For example:

curl -X PUT -d 'SHA-512' http://localhost:8080/api/admin/settings/:FileFixityChecksumAlgorithm

The fixity algorithm used on existing files can be changed by a superuser using the API. An optional query parameter (num) can be used to limit the number of updates attempted. The API call will only update the algorithm and checksum for a file if the existing checksum can be validated against the file. Statistics concerning the updates are returned in the response to the API call with details in the log.

curl http://localhost:8080/api/admin/updateHashValues/{alg} curl http://localhost:8080/api/admin/updateHashValues/{alg}?num=1

:PVMinLength¶

Password policy setting for builtin user accounts: a password’s minimum valid character length. The default is 6.

curl -X PUT -d 6 http://localhost:8080/api/admin/settings/:PVMinLength

:PVMaxLength¶

Password policy setting for builtin user accounts: a password’s maximum valid character length.

curl -X PUT -d 0 http://localhost:8080/api/admin/settings/:PVMaxLength

:PVNumberOfConsecutiveDigitsAllowed¶

By default, passwords can contain an unlimited number of digits in a row. However, if your password policy specifies otherwise (e.g. only four digits in a row are allowed), then you can issue the following curl command to set the number of consecutive digits allowed (this example uses 4):

curl -X PUT -d 4 http://localhost:8080/api/admin/settings/:PVNumberOfConsecutiveDigitsAllowed

:PVCharacterRules¶

Password policy setting for builtinuser accounts: dictates which types of characters can be required in a password. This setting goes hand-in-hand with :PVNumberOfCharacteristics. The default setting contains two rules:

• one letter
• one digit

The default setting above is equivalent to specifying “Alphabetical:1,Digit:1”.

By specifying “UpperCase:1,LowerCase:1,Digit:1,Special:1”, for example, you can put the following four rules in place instead:

• one uppercase letter
• one lowercase letter
• one digit
• one special character

If you have implemented 4 different character rules in this way, you can also optionally increase :PVNumberOfCharacteristics to as high as 4. However, please note that :PVNumberOfCharacteristics cannot be set to a number higher than the number of character rules or you will see the error, “Number of characteristics must be <= to the number of rules”.

Also note that the Alphabetical setting should not be used in tandem with the UpperCase or LowerCase settings. The Alphabetical setting encompasses both of those more specific settings, so using it with them will cause your password policy to be unnecessarily confusing, and potentially easier to bypass.

curl -X PUT -d 'UpperCase:1,LowerCase:1,Digit:1,Special:1' http://localhost:8080/api/admin/settings/:PVCharacterRules

curl -X PUT -d 3 http://localhost:8080/api/admin/settings/:PVNumberOfCharacteristics

:PVNumberOfCharacteristics¶

Password policy setting for builtin user accounts: the number indicates how many of the character rules defined by :PVCharacterRules are required as part of a password. The default is 2. :PVNumberOfCharacteristics cannot be set to a number higher than the number of rules or you will see the error, “Number of characteristics must be <= to the number of rules”.

curl -X PUT -d 2 http://localhost:8080/api/admin/settings/:PVNumberOfCharacteristics

:PVDictionaries¶

Password policy setting for builtin user accounts: set a comma separated list of dictionaries containing words that cannot be used in a user password. /usr/share/dict/words is suggested and shown modified below to not contain words 3 letters or less. You are free to choose a different dictionary. By default, no dictionary is checked.

DIR=THE_PATH_YOU_WANT_YOUR_DICTIONARY_TO_RESIDE sed '/^.\{,3\}$/d' /usr/share/dict/words > $DIR/pwdictionary curl -X PUT -d "$DIR/pwdictionary" http://localhost:8080/api/admin/settings/:PVDictionaries

:PVGoodStrength¶

Password policy setting for builtin user accounts: passwords of equal or greater character length than the :PVGoodStrength setting are always valid, regardless of other password constraints.

curl -X PUT -d 20 http://localhost:8080/api/admin/settings/:PVGoodStrength

Recommended setting: 20.

:PVCustomPasswordResetAlertMessage¶

Changes the default info message displayed when a user is required to change their password on login. The default is:

{0} Reset Password{1} – Our password requirements have changed. Please pick a strong password that matches the criteria below.

Where the {0} and {1} denote surrounding HTML bold tags. It’s recommended to put a single space before your custom message for better appearance (as in the default message above). Including the {0} and {1} to bolden part of your message is optional.

Customize the message using the following curl command’s syntax:

curl -X PUT -d '{0} Action Required:{1} Your current password does not meet all requirements. Please enter a new password meeting the criteria below.' http://localhost:8080/api/admin/settings/:PVCustomPasswordResetAlertMessage

:ShibPassiveLoginEnabled¶

Set :ShibPassiveLoginEnabled to true to enable passive login for Shibboleth. When this feature is enabled, an additional Javascript file (isPassive.js) will be loaded for every page. It will generate a passive login request to your Shibboleth SP when an anonymous user navigates to the site. A cookie named “_check_is_passive_dv” will be created to keep track of whether or not a passive login request has already been made for the user.

This implementation follows the example on the Shibboleth wiki documentation page for the isPassive feature: https://wiki.shibboleth.net/confluence/display/SHIB2/isPassive

It is recommended that you configure additional error handling for your Service Provider if you enable passive login. A good way of doing this is described in the Shibboleth wiki documentation:

• In your Service Provider 2.x shibboleth2.xml file, add redirectErrors=”#THIS PAGE#” to the Errors element.

You can set the value of “#THIS PAGE#” to the URL of your Dataverse installation homepage, or any other page on your site that is accessible to anonymous users and will have the isPassive.js file loaded.

curl -X PUT -d true http://localhost:8080/api/admin/settings/:ShibPassiveLoginEnabled

:ShibAffiliationAttribute¶

The Shibboleth affiliation attribute holds information about the affiliation of the user (e.g. “OU”) and is read from the DiscoFeed at each login. :ShibAffiliationAttribute is a name of a Shibboleth attribute in the Shibboleth header which your Dataverse installation will read from instead of DiscoFeed. If this value is not set or empty, your Dataverse installation uses the DiscoFeed.

If the attribute is not yet set for the Shibboleth, please consult the Shibboleth Administrators at your institution. Typically it requires changing of the /etc/shibboleth/attribute-map.xml file by adding an attribute request, e.g.

<Attribute name="urn:oid:2.5.4.11" id="ou">
    <AttributeDecoder xsi:type="StringAttributeDecoder" caseSensitive="false"/>
</Attribute>

In order to implement the change, you should restart Shibboleth and Apache2 services:

sudo service shibd restart
sudo service apache2 restart

To check if the attribute is sent, you should log in again to the Dataverse installation and check Shibboleth’s transaction log. You should see something like this:

INFO Shibboleth-TRANSACTION [25]: Cached the following attributes with session (ID: _9d1f34c0733b61c0feb0ca7596ef43b2) for (applicationId: default) {
INFO Shibboleth-TRANSACTION [25]:       givenName (1 values)
INFO Shibboleth-TRANSACTION [25]:       ou (1 values)
INFO Shibboleth-TRANSACTION [25]:       sn (1 values)
INFO Shibboleth-TRANSACTION [25]:       eppn (1 values)
INFO Shibboleth-TRANSACTION [25]:       mail (1 values)
INFO Shibboleth-TRANSACTION [25]:       displayName (1 values)
INFO Shibboleth-TRANSACTION [25]: }

If you see the attribue you requested in this list, you can set the attribute in the Dataverse installation.

To set :ShibAffiliationAttribute:

curl -X PUT -d "ou" http://localhost:8080/api/admin/settings/:ShibAffiliationAttribute

To delete :ShibAffiliationAttribute:

curl -X DELETE http://localhost:8080/api/admin/settings/:ShibAffiliationAttribute

To check the current value of :ShibAffiliationAttribute:

curl -X GET http://localhost:8080/api/admin/settings/:ShibAffiliationAttribute

:ShibAttributeCharacterSetConversionEnabled¶

It seems that the application server (usually Glassfish or Payara) will interpret all Shibboleth attributes that come through AJP as ISO-8859-1, even if they where originally UTF-8. To circumvent that, we re-encode all received Shibboleth attributes manually as UTF-8 by default. In the case you get garbled characters in Shibboleth-supplied fields (e.g. given name, surname, affiliation), you can disable this behaviour by setting ShibAttributeCharacterSetConversionEnabled to false:

curl -X PUT -d false http://localhost:8080/api/admin/settings/:ShibAttributeCharacterSetConversionEnabled

If you managed to get correct accented characters from shibboleth while this setting is _false_, please contact us with your application server and Shibboleth configuration!

:ComputeBaseUrl¶

Set the base URL for the “Compute” button for a dataset.

curl -X PUT -d 'https://giji.massopencloud.org/application/dataverse' http://localhost:8080/api/admin/settings/:ComputeBaseUrl

:CloudEnvironmentName¶

Set the name of the cloud environment you’ve integrated with your Dataverse installation.

curl -X PUT -d 'Massachusetts Open Cloud (MOC)' http://localhost:8080/api/admin/settings/:CloudEnvironmentName

:PublicInstall¶

Setting an installation to public will remove the ability to restrict data files or datasets. This functionality of the Dataverse Software will be disabled from your installation.

This is useful for specific cases where an installation’s files are stored in public access. Because files stored this way do not obey the Dataverse Software’s file restrictions, users would still be able to access the files even when they’re restricted. In these cases it’s best to use :PublicInstall to disable the feature altogether.

curl -X PUT -d true http://localhost:8080/api/admin/settings/:PublicInstall

:DataCaptureModuleUrl¶

The URL for your Data Capture Module (DCM) installation. This component is experimental and can be downloaded from https://github.com/sbgrid/data-capture-module .

curl -X PUT -d 'https://dcm.example.edu' http://localhost:8080/api/admin/settings/:DataCaptureModuleUrl

:RepositoryStorageAbstractionLayerUrl¶

The URL for your Repository Storage Abstraction Layer (RSAL) installation. This component is experimental and can be downloaded from https://github.com/sbgrid/rsal .

curl -X PUT -d 'https://rsal.example.edu' http://localhost:8080/api/admin/settings/:RepositoryStorageAbstractionLayerUrl

:UploadMethods¶

This setting controls which upload methods are available to users of your Dataverse installation. The following upload methods are available:

• native/http: Corresponds to “Upload with HTTP via your browser” and APIs that use HTTP (SWORD and native).
• dcm/rsync+ssh: Corresponds to “Upload with rsync+ssh via Data Capture Module (DCM)”. A lot of setup is required, as explained in the Big Data Support section of the Developer Guide.

Out of the box only native/http is enabled and will work without further configuration. To add multiple upload method, separate them using a comma like this:

curl -X PUT -d 'native/http,dcm/rsync+ssh' http://localhost:8080/api/admin/settings/:UploadMethods

You’ll always want at least one upload method, so the easiest way to remove one of them is to simply PUT just the one you want, like this:

curl -X PUT -d 'native/http' http://localhost:8080/api/admin/settings/:UploadMethods

:DownloadMethods¶

This setting is experimental and related to Repository Storage Abstraction Layer (RSAL).

curl -X PUT -d 'rsal/rsync' http://localhost:8080/api/admin/settings/:DownloadMethods

:GuestbookResponsesPageDisplayLimit¶

Limit on how many guestbook entries to display on the guestbook-responses page. By default, only the 5000 most recent entries will be shown. Use the standard settings API in order to change the limit. For example, to set it to 10,000, make the following API call:

curl -X PUT -d 10000 http://localhost:8080/api/admin/settings/:GuestbookResponsesPageDisplayLimit

:CustomDatasetSummaryFields¶

You can replace the default dataset metadata fields that are displayed above files table on the dataset page with a custom list separated by commas using the curl command below.

curl http://localhost:8080/api/admin/settings/:CustomDatasetSummaryFields -X PUT -d 'producer,subtitle,alternativeTitle'

You have to put the datasetFieldType name attribute in the :CustomDatasetSummaryFields setting for this to work.

:AllowApiTokenLookupViaApi¶

The Dataverse Software 4.8.1 and below allowed API Token lookup via API but for better security this has been disabled by default. Set this to true if you really want the old behavior.

curl -X PUT -d 'true' http://localhost:8080/api/admin/settings/:AllowApiTokenLookupViaApi

:ProvCollectionEnabled¶

Enable the collection of provenance metadata on your Dataverse installation via the provenance popup.

curl -X PUT -d 'true' http://localhost:8080/api/admin/settings/:ProvCollectionEnabled

:MetricsCacheTimeoutMinutes¶

Sets how long a cached metrics result is used before re-running the query for a request. This timeout is only applied to some of the metrics that query the current state of the system, previous months queries are cached indefinitely. See Metrics API for more info. The default timeout value is 7 days (10080 minutes).

curl -X PUT -d 10080 http://localhost:8080/api/admin/settings/:MetricsCacheTimeoutMinutes

:MDCLogPath¶

Sets the path where the raw Make Data Count logs are stored before being processed. If not set, no logs will be created for Make Data Count. See also the Make Data Count section of the Admin Guide.

curl -X PUT -d '/usr/local/payara5/glassfish/domains/domain1/logs' http://localhost:8080/api/admin/settings/:MDCLogPath

:DisplayMDCMetrics¶

:DisplayMDCMetrics can be set to false to disable display of MDC metrics (e.g. to enable collection of MDC metrics for some period prior to completing the set-up of Counter and performing the other steps described in the Make Data Count section of the Admin Guide).

curl -X PUT -d 'false' http://localhost:8080/api/admin/settings/:DisplayMDCMetrics

:Languages¶

Sets which languages should be available. If there is more than one, a dropdown is displayed in the header.

See Internationalization for a curl example and related settings.

:InheritParentRoleAssignments¶

:InheritParentRoleAssignments can be set to a comma-separated list of role aliases or ‘*’ (all) to cause newly created Dataverse collections to inherit the set of users and/or internal groups who have assignments for those role(s) on the parent Dataverse collection, i.e. those users/groups will be assigned the same role(s) on the new Dataverse collection (in addition to the creator of the new Dataverse collection having an admin role). This can be helpful in situations where multiple organizations are sharing one Dataverse installation. The default, if :InheritParentRoleAssignments is not set is for the creator of the new Dataverse collection to be the only one assigned a role.

curl -X PUT -d 'admin, curator' http://localhost:8080/api/admin/settings/:InheritParentRoleAssignments or curl -X PUT -d '*' http://localhost:8080/api/admin/settings/:InheritParentRoleAssignments

:AllowCors¶

Allows Cross-Origin Resource sharing(CORS). By default this setting is absent and the Dataverse Software assumes it to be true.

If you don’t want to allow CORS for your installation, set:

curl -X PUT -d 'false' http://localhost:8080/api/admin/settings/:AllowCors

:ChronologicalDateFacets¶

Unlike other facets, those indexed by Date/Year are sorted chronologically by default, with the most recent value first. To have them sorted by number of hits, e.g. with the year with the most results first, set this to false

If you don’t want date facets to be sorted chronologically, set:

curl -X PUT -d 'false' http://localhost:8080/api/admin/settings/:ChronologicalDateFacets

:CustomZipDownloadServiceUrl¶

The location of the “Standalone Zipper” service. If this option is specified, the Dataverse installation will be redirecing bulk/mutli-file zip download requests to that location, instead of serving them internally. See the “Advanced” section of the Installation guide for information on how to install the external zipper. (This is still an experimental feature, as of Dataverse Software 5.0).

To enable redirects to the zipper installed on the same server as the main Dataverse Software application:

curl -X PUT -d '/cgi-bin/zipdownload' http://localhost:8080/api/admin/settings/:CustomZipDownloadServiceUrl

To enable redirects to the zipper on a different server:

curl -X PUT -d 'https://zipper.example.edu/cgi-bin/zipdownload' http://localhost:8080/api/admin/settings/:CustomZipDownloadServiceUrl

:ArchiverClassName¶

Your Dataverse installation can export archival “Bag” files to an extensible set of storage systems (see BagIt Export above for details about this and for further explanation of the other archiving related settings below). This setting specifies which storage system to use by identifying the particular Java class that should be run. Current options include DuraCloudSubmitToArchiveCommand, LocalSubmitToArchiveCommand, and GoogleCloudSubmitToArchiveCommand.

curl -X PUT -d 'LocalSubmitToArchiveCommand' http://localhost:8080/api/admin/settings/:ArchiverClassName

:ArchiverSettings¶

Each Archiver class may have its own custom settings. Along with setting which Archiver class to use, one must use this setting to identify which setting values should be sent to it when it is invoked. The value should be a comma-separated list of setting names. For example, the LocalSubmitToArchiveCommand only uses the :BagItLocalPath setting. To allow the class to use that setting, this setting must set as:

curl -X PUT -d ':BagItLocalPath' http://localhost:8080/api/admin/settings/:ArchiverSettings

:DuraCloudHost¶

:DuraCloudPort¶

:DuraCloudContext¶

These three settings define the host, port, and context used by the DuraCloudSubmitToArchiveCommand. :DuraCloudHost is required. The other settings have default values as noted in the Duracloud Configuration section above.

:BagItLocalPath¶

This is the local file system path to be used with the LocalSubmitToArchiveCommand class. It is recommended to use an absolute path. See the Local Path Configuration section above.

:GoogleCloudBucket¶

:GoogleCloudProject¶

These are the bucket and project names to be used with the GoogleCloudSubmitToArchiveCommand class. Further information is in the Google Cloud Configuration section above.

:InstallationName¶

By default, the name of the root Dataverse collection is used as the ‘brandname’ of the repository, i.e. in emails and metadata exports. If set, :InstallationName overrides this default, allowing the root collection name and brandname to be set independently. (Note that, since metadata export files are cached, they will have to be reexported (see Metadata Export) before they incorporate a change in this setting.)

:ExportInstallationAsDistributorOnlyWhenNotSet¶

In the DDI metadata exports, the default behavior is to always add the repository (using its brandname - the root collection name or the value of :InstallationName) to the stdyDscr/distStmt/distrbtr element. If this setting is true, this will only be done when a Distributor is not already defined in the Dataset metadata. (Note that, since metadata export files are cached, they will have to be reexported (see Metadata Export) before they incorporate a change in this setting.)