Resource Directory

While much effort has gone into developing tools and methods for collecting and analyzing social media data, there still is considerable uncertainty regarding the archiving of these data. This webinar brought together experts from various institutions that have experience in working with social m...

This is the current public version of the User Guide for the CESSDA Metadata Model version 2.0. The guidelines address all relevant aspects of the elements in the CESSDA Metadata Model, and serve to provide recommendations and guidance for usage. Please send your requests to the CESSDA Metadata O...

This is the current public version of the CESSDA Metadata Model (CMM). Guidelines for the usage of and best practice for the CMM can be found in the User Guide.

The needs of institutions regarding the digital materials they create and acquire vary considerably. This Handbook of the Digital Preservation Coalition is intended to provide a bridge between broad, high level overviews and explicit, detailed guidelines applicable to the needs of a specific inst...

Social media data are increasingly used in the social sciences. Archiving social media data is associated with a number of specific practical, legal, and ethical challenges that researchers and archivists need to address. In addition, the documentation of social media data also has its own requir...

The webinar explores two facets of the FAIRification of services: the FAIR assessment framework for data services, and the features of FAIR repositories.

As part of the SSHOC activities, CLARIN is organizing a series of online events to raise awareness about open-source vocabulary hosting and management platforms: 3 September 2020: First session - Introduction to Wikibase Vocabulary Platform 14 September 2020: Second session - Introduction to Sk...

This article puts forward recommendations for data and infrastructure service providers to support findable, accessible, interoperable, and reusable (FAIR) research data within the scholarly ecosystem.

Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of open scholarship. Increasing the production and use of FAIR data requires a wide range of stakeholders across the research ecosystem to actively play their parts. FAIRsFAIR – Fostering Fair Data P...

This guide provided by the SNSF gives an explanation of the FAIR principles and explains for each principle what are the researcher's responsibility and which requirements should be fulfilled by the repository.