Now that you’ve installed Dataverse, you might want to set up some integrations with other systems. Many of these integrations are open source and are cross listed in the Apps section of the API Guide.
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A variety of integrations are oriented toward making it easier for your researchers to deposit data into your installation of Dataverse.
If your researchers have data on Dropbox, you can make it easier for them to get it into Dataverse by setting the dataverse.dropbox.key JVM option described in the Configuration section of the Installation Guide.
The Center for Open Science’s Open Science Framework (OSF) is an open source software project that facilitates open collaboration in science research across the lifespan of a scientific project.
For instructions on depositing data from OSF to your installation of Dataverse, your researchers can visit http://help.osf.io/m/addons/l/863978-connect-dataverse-to-a-project
RSpace is an affordable and secure enterprise grade electronic lab notebook (ELN) for researchers to capture and organize data.
For instructions on depositing data from RSpace to your installation of Dataverse, your researchers can visit https://www.researchspace.com/help-and-support-resources/dataverse-integration/
Open Journal Systems (OJS) is a journal management and publishing system that has been developed by the Public Knowledge Project to expand and improve access to research.
The OJS Dataverse Plugin adds data sharing and preservation to the OJS publication process.
As of this writing only OJS 2.x is supported and instructions for getting started can be found at https://github.com/pkp/ojs/tree/ojs-stable-2_4_8/plugins/generic/dataverse
If you are interested in OJS 3.x supporting deposit from Dataverse, please leave a comment on https://github.com/pkp/pkp-lib/issues/1822
Data Explorer is a GUI which lists the variables in a tabular data file allowing searching, charting and cross tabulation analysis.
For installation instructions, see the External Tools section of the Installation Guide.
TwoRavens is a web application for tabular data exploration and statistical analysis with Zelig.
For installation instructions, see the External Tools section of the Installation Guide.
WorldMap helps researchers visualize and explore geospatial data by creating maps.
For installation instructions, see Geoconnect and WorldMap.
The “Compute” button is still highly experimental and has special requirements such as use of a Swift object store, but it is documented under “Setting up Compute” in the Configuration section of the Installation Guide.
Integration with DataCite is built in to Dataverse. When datasets are published, metadata is sent to DataCite. You can futher increase the discoverability of your datasets by setting up additional integrations.
Dataverse supports a protocol called OAI-PMH that facilitates harvesting datasets from one system into another. For details on harvesting, see the Managing Harvesting Server and Sets section.
The Dataverse roadmap is a good place to see integrations that the core Dataverse team is working on.
The Dev Efforts by the Dataverse Community spreadsheet is the best way to track integrations that are being worked on by the Dataverse community.
Please help us keep this page up to date making a pull request! To get started, see the Documentation section of the Developer Guide.