Data provenance & lineage: technical guidance on the tracing of data | data.europa.eu
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Data provenance & lineage: technical guidance on the tracing of data

Data provenance & lineage: technical guidance on the tracing of data

This course focuses on tracing data.

Learning objectives:

  • Understand the definition and importance of data provenance and lineage
  • Understand common applications areas and challenges
  • Gather insights into approaches that allow the tracing of data provenance and lineage.
Format
Reading
Theme
Technology

Reading

Data provenance & lineage: technical guidance on the tracing of data [Part 1]

Estimated reading time:
0.5h
Language:
English
This 3-part report, written by the Support Centre for Data sharing, dives into the complex question: How can you trust the data that you rely on? The first part provides an introduction to the topic and explains the most essential concepts, clarifying how these are related to provenance and lineage.

Data provenance & lineage: technical guidance on the tracing of data [Part 2]

Estimated reading time:
0.5h
Language:
English
This 3-part report, written by the Support Centre for Data sharing, dives into the complex question: How can you trust the data that you rely on? The second part explains why and where data tracing matters. Additionally, it explains the implications of data provenance along three dimensions: local systems, intra- and cross-organisational systems, and global systems

Data provenance & lineage: technical guidance on the tracing of data [Part 3]

Estimated reading time:
0.5h
Language:
English
This 3-part report, written by the Support Centre for Data sharing, dives into the complex question: How can you trust the data that you rely on? The third, and final, part presents five emerging and established solutions to the challenge of recording data provenance and lineage.