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...

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.

This document sets out criteria for selecting and appraising data collections across the UK Data Service. A coordinated and robust approach to appraisal is required to ensure that: • Acquisition decisions will be based on explicit priorities and criteria which can be justified. • Ingest activitie...

The Collections Development Policy provides an overview of the selection and appraisal criteria applied to the UK Data Service data holdings. It demonstrates a commitment to aligning with and meeting the data needs of our major stakeholder communities, other relevant organisational policies (both...

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

In the autumn of 2021 Digital Research Alliance of Canada held three webinars about using/setting up Dataverse. This is the recording of the second webinar: Dataverse Community Panel: Use cases from across Canada

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...

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...