Tools

This File Format Policy of ISSDA defines the preferred and acceptable formats of datasets, documentation and metadata, that is acquired, preserved and distributed by the archive. The document could be useful for establishing policies towards both, data depositors and designated community of users.

This Webpage provides brief information about the costs of depositing data at DANS. There are no fixed prices, rates are determined by several factors, for example specific needs and requirements attached by the deposit.

The web page contains information about the liability of DANS for datasets and metadata, as well as the citation rules.

The DANS guidelines on the file formats best suited for long-term sustainability and accessibility, including the definitions of different types of research data and the list of preferred formats for depositing in the archive.

Subject: Consultancy on anonymization checks for quantitative data and qualitative text data Description: AUSSDA is willing to share its anonymisation practices for the ingest of quantitative data and qualitative text data. The Austrian archive has extensive workflows and checklists to make sure...

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...

Privacy Statement DANS

In this report, IES presents: 1. its data management workflow; 2. its conditions of use; and 3. tools used for dissemination: workflow implementation in Redmine and repository building in Dataverse.

In this report, FFZG presents: 1. data collection issues; 2. its data management workflow; 3. its conditions of use; and 4. tools used for dissemination: workflow implementation in Redmine and repository building in Dataverse.

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...