Apps

The introduction of Dataverse Software APIs has fostered the development of a variety of software applications that are listed in the Integrations, External Tools, and Reporting Tools and Common Queries sections of the Admin Guide.

The apps below are open source and demonstrate how to use Dataverse Software APIs. Some of these apps are built on Client Libraries that are available for Dataverse Software APIs in Python, Javascript, R, and Java.

Contents:

Javascript

Data Explorer

Data Explorer is a GUI which lists the variables in a tabular data file allowing searching, charting and cross tabulation analysis.

https://github.com/scholarsportal/Dataverse-Data-Explorer-v2

Data Curation Tool

Data Curation Tool is a GUI for curating data by adding labels, groups, weights and other details to assist with informed reuse.

https://github.com/scholarsportal/Dataverse-Data-Curation-Tool

File Previewers

File Previewers are tools that display the content of files - including audio, html, Hypothes.is annotations, images, PDF, text, video, GeoJSON - allowing them to be viewed without downloading.

https://github.com/gdcc/dataverse-previewers

Python

Please note that there are multiple Python modules for Dataverse Software APIs listed in the Client Libraries section.

dataverse-sample-data

dataverse-sample-data allows you to populate your Dataverse installation with sample data. It makes uses of pyDataverse, which is listed in the Client Libraries section.

https://github.com/IQSS/dataverse-sample-data

Texas Digital Library dataverse-reports

Dataverse Installation Reports from Texas Digital Library generates and emails statistical reports for a Dataverse installation using the native API and database queries.

https://github.com/TexasDigitalLibrary/dataverse-reports

OSF

OSF allows you to view, download, and upload files to and from a dataset in a Dataverse installation from an Open Science Framework (OSF) project.

https://github.com/CenterForOpenScience/osf.io/tree/develop/addons/dataverse

dataverse-metrics

dataverse-metrics aggregates and visualizes metrics across multiple Dataverse installations but can also be used with a single installation.

https://github.com/IQSS/dataverse-metrics

Whole Tale

Whole Tale enables researchers to analyze data using popular tools including Jupyter and RStudio with the ultimate goal of supporting publishing of reproducible research packages.

https://github.com/whole-tale/girder_wholetale/tree/v0.7/server/lib/dataverse

Archivematica

Archivematica is an integrated suite of open-source tools for processing digital objects for long-term preservation.

https://github.com/artefactual/archivematica/tree/v1.9.2/src/MCPClient/lib/clientScripts

repo2docker

repo2docker is a command line tool that allows you to create and start a Docker image from a code repository that follows the [reproducible executable environment specification](https://repo2docker.readthedocs.io/en/latest/specification.html). repo2docker supports Dataverse installation DOIs to find and retrieve datasets.

https://github.com/jupyter/repo2docker/blob/master/repo2docker/contentproviders/dataverse.py

dataverse-migration-scripts

This series of Python scripts offers a starting point for migrating datasets from one Dataverse installation to another. Multiple parts of the process are handled in these scripts, including adding users, collections, and multiple versions of datasets. These scripts were developed to migrate data from version 4.20 to 5.1, but may provide a helpful starting point for other software versions. The migration APIs added in version 5.6 are not used. You can find more details in the repository, as well as this Google group thread.

https://github.com/scholarsportal/dataverse-migration-scripts

Java

Please note that there is a Java library for Dataverse Software APIs listed in the Client Libraries section.

DVUploader

The open-source DVUploader tool is a stand-alone command-line Java application that uses the Dataverse Software API to upload files to a specified Dataset. Files can be specified by name, or the DVUploader can upload all files in a directory or recursively from a directory tree. The DVUploader can also verify that uploaded files match their local sources by comparing the local and remote fixity checksums. Source code, the latest release - jar file, and documentation are available on GitHub. DVUploader’s creation was supported by the Texas Digital Library.

https://github.com/GlobalDataverseCommunityConsortium/dataverse-uploader