CSVW for energy datasets

This page collects examples on improving the FAIRness of datasets using the csv extension csvw.

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.

Most importantly, csv on the web offers a possibility to tie together metadata and data, starting from a well-known and widely use data format.

Resources

• CSV on the Web: A Primer

• Blog contributions by Steven Firth

• Metadata Vocabulary for Tabular Data

• Using metadata to describe CSV data

• CSVW Namespace Vocabulary Terms

• How to publish CSV-on-the-Web (CSVW)

• Dive into CSV on the Web

• CSVW for Tabular Clinical Trial Data and Metadata