This release brings new features, enhancements, and bug fixes to Dataverse. Thank you to all of the community members who contributed code, suggestions, bug reports, and other assistance across the project!
Dataset Level Explore Tools
Tools that integrate with Dataverse can now be launched from the dataset page! This makes it possible to develop and add tools that work across the entire dataset instead of single files. Tools to verify reproducibility and allow researchers to compute on an entire dataset will take advantage of this...
This release brings new features, enhancements, and bug fixes to Dataverse. Thank you to all of the community members who contributed code, suggestions, bug reports, and other assistance across the project.
The metrics view at both the Dataset and File level has been redesigned. The main driver of this redesign has been the expanded metrics (citations and views) provided through an integration with Make Data Count, but installations that do not adopt Make Data Count will also be able to take advantage of the new...
This release introduces OpenAIRE-compliant exports, the ability to move datasets through the dashboard, and expanded analytics options. Some more on these three changes:
OpenAIRE-compliant exports can be generated through the UI and the API. Making exports available in more standard formats is not only helpful for interoperability, but it's also necessary for many groups in Europe...
This release introduces a tree view for files in a dataset and adds a new file metadata editing API. Some more on these two changes:
Viewing File Hierarchy: Following on the ability to add and edit file hierarchy in previous releases, users can now toggle the list of files to a tree view. This provides a new way to navigate the files within a dataset.
API for File Metadata: We’ve added a new API to view and edit metadata at the file level. This will allow an API-based method...
L'Institut national de la recherche agronomique (INRA), or the French National Institute for Agricultural Research, updated their Dataverse-based repository in late January 2019. With the update, the repository, called Portail Data Inra, is able to ingest more types of tabular files, better preserving and presenting tabular data. And the repository sends more metadata to DataCite in order to improve data discovery.
This release introduces User Management APIs, the ability to edit the hierarchy of files in a dataset, backend support for Make Data Count, and guidance on best practices for making datasets appear in search engines. Some more on each of these changes:
User Management APIs: Administrators can now merge and rename Dataverse accounts. Merging is especially helpful for managing cases where users change from one institution to another.
Editing File Hierarchy: Users can move files to different folders or subfolders...
Dataverse’s latest update includes support for large data transfers, a simplified upgrade process, and internationalization. It also includes over 100 other changes and new features, like API endpoints and bug fixes. To see the full release notes, check out the release notes on GitHub.
With its focus on qualitative and multi-method research, the Qualitative Data Repository (QDR) at Syracuse University curates, archives, and enables the sharing of qualitative research data. The Dataverse Project plays an integral part in propelling QDR’s mission to make the sharing of qualitative data a customary practice in the social sciences.