Resource Directory

The DDI-Codebook (DDI-C) standard is currently used in the Gesis Data Archive (DAS) as a metadata format for the documentation and archiving of products, projects, and processes. In order to cover the full life cycle of research data and to ensure interchangeability and reusability of metadata ex...

The deliverable from the CESSDA Strengthening and Widening project identifies the relevant elements of professional activity in data curation with an aim to contribute to a deeper understanding of all aspects to be recognised in the training of current and future employees of CESSDA organisations...

The report identifies gaps (in 2017) for further development of data archives services in each country by exploring the wider ecosystem of data sharing culture, organisational setting, and service operational profile.

In this policy the GESIS Data Archive describes its digital preservation principles and strategies. The document expresses GESIS’s awareness of responsibilities and measures required to ensure adequate preservation and access. It is addressed at members, committees, management, and employees of G...

This report describes and analyse a selection of existing deposit services within the SSH based on a common framework and set of information categories that seeks to synthesize the knowledge contained within the different deposit services. In addition, it also provides a set of best practices and...

This DASISH deliverable is a combination of a state-of-the-art description and a guideline for data repositories seeking to provide a trustworthy environment for data management and data curation within the social sciences and humanities. The deliverable discusses the benchmark frameworks and sta...

The da|ra Metadata Schema is a list of core metadata properties chosen for the identification of data and retrieval purposes. Each DOI name is linked to a set of metadata, a collection of bibliographical and content information, which describe in detail the registered resources (title, author, pu...

The GESIS software Dataset Documentation Manager (DSDM) can be used to describe datasets, document variables and questions, and create CodebookExplorer databases: - Read in SPSS datasets - Documentation of variables - Documentation of question texts, answer texts, codes - Multi-linguality and...

The Best Practice Guide of GESIS gives recommendations and suggestions to the user to optimise the registration of data holdings via GESIS system da|ra. Additionally, many examples are provided and the use of various standards and best practices are described (DOI, metadata, versioning, citations...