Journal Article: “Why Data Citation Isn’t Working, and What to Do About It”

The article linked to below was recently published by Database.

Title

Why Data Citation Isn’t Working, and What to Do About It

Authors

Peter Buneman
University of Edinburgh

Greig Christie
University of Edinburgh

Jamie A Davies
University of Edinburgh

Roza Dimitrellou
University of Edinburgh

Simon D Harding
University of Edinburgh

Joanna L Sharman
Novo Nordisk Ltd. & U. of PennsylvaniaAdam J Pawson

Yinjun Wu
Novo Nordisk Ltd. & U. of PennsylvaniaAdam J Pawson

Source
Database
Volume 2020
DOI: 10.1093/databa/baaa022

Abstract

We describe a system that automatically generates from a curated database a collection of short conventional publications—citation summaries—that describe the contents of various components of the database. The purpose of these summaries is to ensure that the contributors to the database receive appropriate credit through the currently used measures such as h-indexes. Moreover, these summaries also serve to give credit to publications and people that are cited by the database. In doing this, we need to deal with granularity—how many summaries should be generated to represent effectively the contributions to a database? We also need to deal with evolution—for how long can a given summary serve as an appropriate reference when the database is evolving? We describe a journal specifically tailored to contain these citation summaries. We also briefly discuss the limitations that the current mechanisms for recording citations place on both the process and value of data citation.

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16 pages; PDF.

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