Resource Directory

Anna Schwickerath explains how to make your data findable, accessible, interoperable and reusable (FAIR).

As part of the 2019 SERISS train-the-trainer workshop, Libby Bishop discusses ethical and legal issues for data.

Work of the RDA 2020 Hackathon on maDMPs is based on the idea of automated quality-control metrics ​ as part of a ​ Linked Data Pipeline for the ​ Research Data Connectome​. We propose a novel quality analyser that uses keywords obtained from 24 DMPs to generate standardisable DMP quality-control...

Sound, reproducible scholarship rests upon a foundation of robust, accessible data. For this to be so in practice as well as theory, data must be accorded due importance in the practice of scholarship and in the enduring scholarly record. In other words, data should be considered legitimate, cita...

The General Repository Comparison Chart and FAIRsharing Collection (https://fairsharing.org/collection/GeneralRepositoryComparison) is an outcome of the NIH Workshop on the Role of Generalist Repositories to Enhance Data Discoverability and Reuse held 11-12 February 2020 (workshop summary). Foll...

Data science technology promises to improve people's lives, accelerate scientific discovery and innovation, and bring about positive societal change. Yet, if not used responsibly, this same technology can reinforce inequity, limit accountability, and infringe on the privacy of individuals. In thi...

To remedy the proliferation of FAIRness measurements based on different interpretations of the principles, the RDA Working Group “FAIR data maturity model” established in January 2019 aims to develop a common set of core assessment criteria for FAIRness, as an RDA Recommendation. In the course of...

This guide is for survey commissioners, survey managers and contractors who are involved in producing and archiving social survey data. It is aimed primarily at UK government-sponsored operations although it is relevant to other organisations undertaking large-scale survey data collection.

The table contains guidance on file formats recommended and accepted by the UK Data Service for data sharing, reuse and preservation.

Each data collection (a.k.a. ‘study’) contained within the UK Data Archive’s Discover catalogue has an individual catalogue record. The aim of the catalogue record is to provide users with enough information to enable them to decide if a particular study will be suitable for their requirements. T...