Journal Article: The History and Future of Data Citation in Practice

The following article was published today by Data Science Journal.

Title

The History and Future of Data Citation in Practice

Authors

Mark A. Parsons
Rensselaer Polytechnic Institute

Ruth E. Duerr
Ronin Institute

Matthew B. Jones
University of California Santa Barbara

Source

Data Science Journal, 18(1)
DOI: 10.5334/dsj-2019-052

Abstract

In this review, we adopt the definition that ‘Data citation is a reference to data for the purpose of credit attribution and facilitation of access to the data’ (TGDCSP 2013: CIDCR6). Furthermore, access should be enabled for both humans and machines (DCSG 2014). We use this to discuss how data citation has evolved over the last couple of decades and to highlight issues that need more research and attention.

Data citation is not a new concept, but it has changed and evolved considerably since the beginning of the digital age. Basic practice is now established and slowly but increasingly being implemented. Nonetheless, critical issues remain. These issues are primarily because we try to address multiple human and computational concerns with a system originally designed in a non-digital world for more limited use cases. The community is beginning to challenge past assumptions, separate the multiple concerns (credit, access, reference, provenance, impact, etc.), and apply different approaches for different use cases.

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