Published October 25, 2023 | Version 1
Presentation Open

Making Your Data FAIR - Showcase of the DANS Data Station for the Social Sciences and Humanities

  • 1. DANS

Description

This flashtalk presentation was created for the ODISSEI Conference 2023 taking place on the 2nd of november 2023 in Utrecht. 

Abstract of the presentation:

Showcase of the DANS Data Station for the Social Sciences and Humanities
Ricarda Braukmann, Data Archiving and Networked Services (DANS); Jetze Touber, Data Archiving and Networked Services (DANS)
DANS is the Dutch national centre of expertise and repository for research data. Our domain-specific data archiving and publishing services enable researchers and data stewards to make their data FAIR and share them for reuse where possible. In this presentation, we would like to showcase our new repository: the DANS Data Station Social Sciences and Humanities (SSH). The release of the DANS Data Station SSH is part of the transition from our previous system EASY to a new repository system based on the open source software Dataverse. The Data Station has a number of new features and improvements that make it easier to archive, publish and find data:
– When depositing data, researchers have the option to restrict access to particular files if they cannot be openly shared. The data station also allows for new versions of a dataset if the research is updated.
– Detailed information about the datasets can be added in various metadata fields and we support SSH-specific vocabularies such as the European Language Social Science Thesaurus (ELSST) and vocabularies from CESSDA, the Consortium of European Social Science Data Archives.
– Datasets are assigned with Persistent Identifiers and the metadata is automatically transferred to the ODISSEI Portal and European data portals to make data findable for others.
– Finding relevant data in the Data Station is supported through full text and advanced search and various filter options. PDFs, images and videos can be previewed directly.
In this presentation, we will demo these and other features of the Data Station and guide the audience through the process of archiving and finding data for reuse. We will elaborate on the importance of archiving and publishing data in a trustworthy digital repository like our Data Station and how this supports FAIR data and Open Science.

Files

ODISSEIConference2023_FlashTalk_DANSDataStation.pdf

Files (1.4 MB)

Additional details

Related works

References
Other: 10.17616/R31NJNG3 (DOI)