Resource Directory

The Data Archiving Guide (DAG) is designed to provide new employees at social science data archives with a general understanding of the work a data archive performs.

This is a recording of a CESSDA workshop on the Data Archiving Guide (DAG). The DAG (https://dag.cessda.eu/) is designed to support the work of employees of data repositories by providing a general understanding of the full range of activities a data repository performs.

The PID Forum is a global information and discussion platform for persistent identifiers (PIDs), which brings together the various communities working with PIDs in the research world. It’s a virtual place for sharing best practices, announcing events, asking questions, and having discussions abou...

Following a year-long public discussion and building on existing community consensus1, several stakeholders, representing various segments of the digital repository community, have collaboratively developed and endorsed a set of guiding principles to demonstrate digital repository trustworthiness...

This document provides an overview of the Qualitative Data Repository's (QDR) internal curation process. The process includes standardized steps from depositor contact, file processing procedures and Dataverse repository operations, to publication of the data project and thereafter.

DataverseTV is a collection of videos and presentations from the Dataverse community.

The Recommendations on FAIR Metrics for EOSC document contains an analysis of activities relevant to the definition of FAIR Metrics in the EOSC context. It makes recommendations on the definition and implementation of metrics, proposes a set of metrics for FAIR data in EOSC to be extensively test...

Digital preservation is a fast-moving and growing community of practice of ubiquitous relevance, but in which capability is unevenly distributed. Within the research community, digital preservation has a close alignment to the FAIR principles and is delivered through a complex specialist infrastr...

This draft working paper has been prepared by members of the SSHOC, EOSC Nordic and FAIRsFAIR projects working on related topics. It seeks to present some key concepts and expand on them to specify the standards and assessments required for an interoperable ecosystem of FAIR (findable, accessible...

Assessing the FAIRness of your repository's data holdings can help you to identify areas where your service could be optimised to become more FAIR-enabling. This webinar will introduce the F-UJI assessment tool (https://www.fairsfair.eu/f-uji-automated-fair-data-assessment-tool) which was develop...