Resource Directory

Comparative social science research requires comparable data across countries. This CESSDA explore sources of harmonised comparative data and methods and tools for harmonising data. Hosted by Jen Buckley from the UK Data Service, the session includes two expert speakers. Professor Irina Tomescu-D...

The FAIR Guiding Principles, published in 2016, aim to improve the findability, accessibility, interoperability and reusability of digital research objects for both humans and machines

This specification (v0.4) contains 17 core metrics proposed by FAIRsFAIR to evaluate the FAIRness of research data objects in Trustworthy Digital Repositories (TDRs). Two new metrics representing the FAIR principle A1 have been added into the specification. Metric descriptions (e.g., related reso...

F-UJI is based on a web service to programmatically assess the FAIRness of research data objects based on the FAIRsFAIR Data Object Assessment Metrics. The tool allows assessing the FAIRness of research data at the dataset level.

This document represents the third alignment of CoreTrustSeal to FAIR requirements to inform<br> repositories seeking to enable FAIR data. Feedback is welcomed either directly to the authors or on the Google Doc. Further context is presented in the FAIRsFAIR project milestone: https://doi.org/10....

The overall goal of FAIRsFAIR is to accelerate the realization of the goals of the European Open Science Cloud (EOSC) by compiling and disseminating all knowledge, expertise, guidelines, implementations, new trajectories, training and education on FAIR matters. FAIRsFAIR work package 4 (WP4) will...

This report presents the results of the first year of Task 2.3 from the FAIRsFAIR project. It gives guidelines to enable features for repositories which allow them not only to host FAIR digital objects, but also to be FAIR themselves. The recommendations were collected in the workshop “Building t...

This study focuses on the use and users of Finnish social science research data archive. Study is based on enriched user data of the archive from years 2015–2018. Study investigates the number and type of downloaded datasets, the number of citations for data, the demographics of data downloaders...

Adequate understanding of the data files and accompanying materials is a necessary condition for re-use of your data. Therefore a thorough description of your research is needed. For this purpose ADP prepared this Study description form, which is based on the substantive definitions of internatio...

R is a free software environment for statistical computing and graphics.