Data ONE´s Data Management Skillbuilding Hub. Best practices of data management: plan, collect, assure, describe, preserve, discover, integrate, analyze
Test how FAIR is your data: FAIR data assessment tool by ANDS
Youtube video by CSC about FAIR-principle (1,44 min)
FAIR by design: Plan your research process so that metadata & documentation with permanent identifiers increase automatically along the process
To be Findable:
F1. (meta)data are assigned a globally unique and eternally persistent identifier.
F2. data are described with rich metadata.
F3. (meta)data are registered or indexed in a searchable resource.
F4. metadata specify the data identifier.
A1 (meta)data are retrievable by their identifier using a standardized communications protocol.
A1.1 the protocol is open, free, and universally implementable.
A1.2 the protocol allows for an authentication and authorization procedure, where necessary.
A2 metadata are accessible, even when the data are no longer available.
I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
I2. (meta)data use vocabularies that follow FAIR principles.
I3. (meta)data include qualified references to other (meta)data.
R1. meta(data) have a plurality of accurate and relevant attributes.
R1.1. (meta)data are released with a clear and accessible data usage license.
R1.2. (meta)data are associated with their provenance.
R1.3. (meta)data meet domain-relevant community standards.
Question and comments related to this LibGuide: email@example.com
Explore Finnish Fairdata services are offered by the Ministry of Education and Culture and produced by CSC – IT Center for Science Ltd.
Webinars & tutorials (in Finnish) https://www.fairdata.fi/koulutus/koulutuksen-tallenteet/