Resources

In addition to our blog, where we highlight aspects of the problem and showcase various solutions, the CASRAI project also publishes and maintains a number of online resources listed below. Learn how to post a comment about any of the resources listed below.

Administrative burden on our researchers would be greatly reduced if these resources were adopted into more administrative processes. Help us by advocating for your institution, funders and solutions providers to get involved in the improvement and adoption of these resources.

Templates

A standard set of modular document templates that can be re-used and re-mixed to suit the major administrative processes.

Reusable Pick-lists

Glossaries

A standard set of definitions for common concepts and elements in the information collected from researchers.

Important Announcement

CASRAI an organisation has ceased to exist, and is currently transferring some of its contents to euroCRIS, the international organisation for research information (www.eurocris.org).

Certain key resources have been adopted by relevant organisations in order to maintain and develop them for the RDM community.  

CODATA is taking responsibility for the Research Data Management Glossary. For more information, see https://codata.org/initiatives/working-groups/casrai-rdm-terminology/

NISO is taking responsibility for the CRediT taxonomy. For more information, see http://credit.niso.org/

CASRAI in Two Minutes:

Research data article

Publishing a research data article in a peer-reviewed data journal linked to a dataset deposited in an appropriate trusted digital repository is a growing trend. The data article implements FAIR (findable, accessible, interoperable, and re-suable) data principles and includes all of the research objects: machine readable and interoperable dataset(s) in a trusted digital repository, associated metadata, computer code (in cases where the raw data have been processed or manipulated), data collection and processing methods, data validation and analyses supporting the quality of the measurements, lineage, provenance, workflows, and usage notes.

The peer review process ensures that these research objects are well documented, quality assured, properly formatted, curated, archived for the long term, and made available immediately upon publication. Critical evaluation through peer review verifies experimental rigor, evaluates the technical quality and completeness of datasets and data descriptors, ensures alignment with Standards, verifies that the data can be easily reused and reanalyzed, and that research based on the data can be reproduced by others in a straightforward manner.

Indexing of published articles accelerates integrative analyses by helping authors and other users find relevant datasets across a wide range of different data-types, and opens doors for new collaborations. A peer-reviewed research data article provides transparency lacking in traditional research articles, increasing credibility and reproducibility, while citation and attribution increases visibility and allow scientists to receive “credit” for this aspect of their research.

Synonyms: Data article

Related terms: Research data, Research article, FAIR

Free to read

Access, use, modify and re-use the content online. The adjective “free” is commonly used in one of two meanings: “for zero price” or “with little or no restriction”. Users can potentially do two kinds of things: (1) access and use it and (2) modify and re-use it.

Continue reading “Free to read”