Data citation and the citation graph
Bibliographic Data
| ID | 21256017 |
|---|---|
| Authors | Peter Buneman (0009-0004-9056-8587, University of Edinburg), Dennis Dosso (0000-0001-7307-4607, University of Padua), Matteo Lissandrini (0000-0001-7922-5998, Aalborg University), Gianmaria Silvello (0000-0003-4970-4554, University of Padua) |
| Year | 2021 |
| Volume | 2 |
| Issue | 4 |
| Pages | 1399-1422 |
| Publication date | 2021-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Quantitative Science Studies (JOURNAL) |
| Journal identifiers | ISSN: 2641-3337 • E-ISSN: 2641-3337 |
| Publisher | MIT Press (PUBLISHER • US) |
| DOI | 10.1162/qss_a_00166 |
| OpenAlex | W3212169569 |
| Language | EN |
| Citations received | 4 |
| References cited | 53 |
The citation graph is a computational artifact that is widely used to represent the domain of published literature. It represents connections between published works, such as citations and authorship. Among other things, the graph supports the computation of bibliometric measures such as h-indexes and impact factors. There is now an increasing demand that we should treat the publication of data in the same way that we treat conventional publications. In particular, we should cite data for the same reasons that we cite other publications. In this paper we discuss what is needed for the citation graph to represent data citation. We identify two challenges: to model the evolution of credit appropriately (through references) over time and to model data citation not only to a data set treated as a single object but also to parts of it. We describe an extension of the current citation graph model that addresses these challenges. It is built on two central concepts: citable units and reference subsumption. We discuss how this extension would enable data citation to be represented within the citation graph and how it allows for improvements in current practices for bibliometric computations, both for scientific publications and for data
Citation · Graph · Information retrieval · World Wide Web · Computer Science · Data Quality and Management · Research Data Management Practices · Scientific Computing and Data Management · Theoretical Computer Science
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| Unique citing works | 4 |
|---|---|
| Citations per year | 0,8 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |