CSVW for energy datasets
This page collects examples of improving the FAIRness of datasets using the csv extension csvw. Most importantly, csv on the web offers a possibility to tie together metadata and data, starting from a well-known and widely used data format. The standard offers a rich framework to annotate existing csv documents with additional information and transform them into other forms of structured data exchange formats such as JSON(-ld) and RDF. At the same time, csv on the web is user-friendly offering a flexible mechanism from minimal FAIR extensions to elaborated context building for the data to be shared. CSV on the web
The example illustrate how csv on the web contributes to realize the FAIR principles
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.
To be Accessible:
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.
To be Interoperable:
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.
To be Re-usable:
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.
