Dataverse Community Meeting 2019
Once a year, the international Dataverse community meets to share news and discuss future developments of Dataverse, an open source research data repository. AUSSDA also uses Dataverse as a research data repository to provide users with research data (see data.aussda.at). This year's conference took place from June 19 to 21, as usual at Harvard University in Boston, MA. For the first time, Stefan Kasberger presented pyDataverse, a self-developed tool for Dataverse, to 180 participants from across the globe. In the future, pyDataverse will support the migration of large amounts of metadata and data into Dataverse thorugh its application programming interface (API).
pyDataverse - work with Dataverse data and access the API
pyDataverse is particularly suitable for data migration - including metadata - from one format or system to another if the starting point or destination is the repository software Dataverse. With pyDataverse, the complex conversion of data from different formats to Dataverse will happen faster, more conveniently and with fewer errors. Above all, the migration of data and metadata from the old software (NESSTAR Server) to our new research data repository software (Dataverse) was at the center of development, which has already drawn international attention. pyDataverse uses the Python programming language and is open source with extensive documentation. More information can be found on GitHub. pyDataverse is being further developed as part of the Horizon 2020 project Social Sciences and Humanities Open Cloud (SSHOC).
SSHOC, "Social Sciences and Humanities Open Cloud", has received funding from the Horizon-2020 project of the European Union H2020-INFRAEOSC-04-2018, grant agreement #823782.
