Resource Directory

Data management describes the handling, organisation, and structuring of research material during the research process. On these pages SND has collected useful information about how to maintain, preserve and share research data.

The CESSDA Data Catalogue is a one-stop-shop for search and discovery of social science and humanities research data.

CESSDA Vocabulary Service enables users to discover, browse, and download controlled vocabularies in a variety of languages. The majority of the source (English) vocabularies included in the service have been created by the DDI Alliance.

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that...

The CESSDA Data Management Expert Guide (DMEG) is designed by European experts to help social science researchers make their research data Findable, Accessible, Interoperable, and Reusable (FAIR). This is the offline version of the DMEG developed in 2017 and updated in 2019, available as a traini...

The DANS Data Stations Policy outlines DANS' policies concerning the Data Stations in more detail and also discusses DANS' preservation plan. It also gives information about data handling by DANS after archiving to ensure accessibility and readability.

The preservation policy is intended to give a succinct overview of the broader archival business processes of FORS, available to the public. It provides transparency on the objectives and principles that guide FORS with respect to its handling of digital data. It is addressed to research funders...

Presentation handouts by ISSDA on how to find and access social data in Ireland and beyond. Presentation is primarily focused on Irish data, especially those stored at ISSDA, but a short overview of other data sources is also provided.

In this webpage, UK Data Service explains in a video how the reserachers can self deposit data in ReShare, UKDS's online data repository.

Dataverse is an open-source web-based application to share, preserve, cite, explore, and analyze research data. The central idea behind Dataverse is to automate much of the job of the professional archivist, and to provide services for and to distribute credit to the data creator.