Provenance Data as FAIR Data?!

Lang S (2025)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2025

Event location: Lissabon PT

Abstract

Many provenance databases do not meet FAIR standards.This paper emphasises the need for FAIR provenance data and proposes a method to create structured and FAIR data that can be achieved by non-experts. It also critically discusses why FAIR provenance data may not always be better.

Authors with CRIS profile

Sabine Lang Department Digital Humanities and Social Studies

How to cite

APA:

Lang, S. (2025). Provenance Data as FAIR Data?! In Proceedings of the Digital Humanities Konferenz. Lissabon, PT.

MLA:

Lang, Sabine. "Provenance Data as FAIR Data?!" Proceedings of the Digital Humanities Konferenz, Lissabon 2025.

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