Resource Directory

This introductory webinar is for anyone who is involved in the collection of data and is considering making (some of) their data available in accordance with funders’ requirements. More and more funders are requiring that research data be made available after completion of the research project, u...

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...

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...

Research data management explained in detail by UKDA.

Manual on how to deposit data at UKDA

A selection of links to resources for anybody wanting to learn more about data management as listed by SND.

NSD's DMP gives an interactive platform that supports researchers in making informed choices throughout the project.