Dataverse’s latest update adds more metadata to dataset landing pages, using a community-driven vocabulary supported by major search engines to make it even easier to find open data online.
Search results account for a large portion of traffic to datasets published online. For example, since Dataverse 4 was released in June 2015, at least a fifth of the traffic to dataset pages in the largest Dataverse installation, Harvard Dataverse, has come from search engines, mostly Google. Giving search engines and other systems richer metadata to index datasets will help people...
In this release we introduce support for AWS S3 file storage, providing Dataverse installations with a cloud option. We also include support for Large Data upload via rsync and integration with an external application, the Data Capture Module (DCM). Other enhancements include improved Swift object storage, csv file ingest improvements, support for increased password complexity, downloading large guestbooks, removal of a user's roles, improved documentation, and various bug fixes.
Any fish can tell you: It’s important to know the waters you’re swimming in. To that end, Usability Researcher Derek Murphy and Product Research Specialist Julian Gautier have put together a spreadsheet that compares Dataverse’s features, usage, and governance with other prominent online data repositories. In this way, we sought to discover trends in repository design to help inform future development of Dataverse. Now we would like to share our findings with the community.
This release introduces a user management view to the administrator dashboard, listing relevant user information, providing search and super user promotion/demotion functionality. A few other community requested fixes and modifications are also provided.
Display installation users in table format.
Provide super user toggle functionality.
Add additional information to user table: creation time, last login, last api use.
Last week, more than 200 participants from around the world gathered to learn about, discuss, and improve Harvard’s own open-source research data repository software, Dataverse. Dataverse is developed at the Institute for Quantitative Social Science (IQSS) and used by researchers and journals at Harvard University and beyond to archive, share and receive credit for data. At the 2017 Dataverse Community Meeting, attendees and speakers from over 60 universities and other research organizations convened to discuss and address subjects such as data sharing, reproducibility of research, the data lifecycle, and integrating Dataverse with visualization tools, computational resources, and expanded data storage options.
This release provides more customization and branding options for installations, improves documentation, provides better interoperability with citation tools, and incorporates code and bug fixes contributed by the Dataverse developer community during our recent community meeting hackathon.
Allow creating a custom homepage, header, footer, navbar logo.
Remove the system generated word Dataverse from dataverse names, making it optional.
Make all system notifications use the name of the root dataverse in place of the word Dataverse.
This release includes improvements to mapping tabular data via WorldMap, support for object storage using Swift, support for Handles as persistent identifiers, improvements to the guides and various bug fixes:
Fixed classification for latitude/longitude maps
Restored WorldMap preview modal
Added map thumbnail to dataset page
Remove map data that subsequently becomes restricted
Verify WorldMap links remain valid
Improved Geoconnect documentation based on UX review