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data_citation_corpus — Data citations of scholarly publications (Data Citation Corpus, 2024-2025)

Description

Citations of research datasets by scholarly publications (journal articles and preprints), from the Data Citation Corpus of DataCite and Make Data Count. The citations were collected from several sources: the links between publications and datasets registered with DataCite (DataCite Event Data), the mentions of datasets (DOIs and accession numbers, e.g. of GenBank, the European Nucleotide Archive or the Protein Data Bank) found in the full texts of articles with machine learning by the Chan Zuckerberg Initiative (CZI Science Knowledge Graph), the data citations of the Aligning Science Across Parkinson's (ASAP) initiative, and, from version 4.0, the data citations mined from the literature by Europe PMC.

Each network is a release of the corpus: v1_0 (January 2024), v1_1 (May 2024), v2_0 (August 2024), v3_0 (February 2025), v4_0 (July 2025) and v4_1 (August 2025, a correction of v4.0). In each network, a directed edge goes from a publication to a dataset that it cites; the networks are bipartite, with publications and datasets as the two kinds of nodes. Each citation record of the corpus is an edge, so that a pair cited according to several sources (or several times by the same source) has several (parallel) edges.

Publications are identified by their DOIs (in lower case, without the https://doi.org/ prefix), and datasets by their DOIs (likewise) or accession numbers, as given in the corpus. The metadata of the datasets and publications (repository, publisher, journal, subjects, affiliations, funders) are given per citation record; the nodes get those of their first record. In version 1.0, the repositories, publishers and journals are given only by internal identifiers of the corpus (left out).

The networks have the following properties:

  • (Node) is_dataset: whether the node is a dataset (otherwise it is a publication).
  • (Node) name: the DOI of the publication, or the DOI or accession number of the dataset.
  • (Node) repository (datasets): the repository in which the dataset is stored, e.g. European Nucleotide Archive.
  • (Node) title (datasets): the title of the dataset, if known.
  • (Node) subjects (datasets): the fields of science of the dataset, separated by ;.
  • (Node) affiliations and funders (datasets): the affiliations of the creators and the funders of the dataset, if known, separated by ;.
  • (Node) publisher, journal (publications): the publisher and journal of the publication.
  • (Node) published_date (publications): the publication date, as Unix time; -1 if unknown.
  • (Edge) source: the source of the citation: datacite (DataCite Event Data), czi (CZI Science Knowledge Graph), asap (Aligning Science Across Parkinson's) or eupmc (Europe PMC); in v1_0, an internal identifier of the source in the corpus.
  • (Edge) created: the time at which the citation was added to the corpus (Unix time).
Tags
Informational Citation Bipartite Multigraph Unweighted Metadata
Added
2026-10-31
Citation
Upstream URL OK
https://makedatacount.org/data-citation/
https://doi.org/10.5281/zenodo.11196858
Upstream license
CC0, https://creativecommons.org/publicdomain/zero/1.0/
Networks
Tip: click on a column header to sort the list, or hover over it for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
v1_0 5,822,009 10,006,058 1.72 49.78 202.71 8428.47 -0.02 0.00 45 0.46 Directed Bipartite is_dataset name repository title subjects affiliations funders publisher journal published_date source created 70.2 MiB 114.0 MiB 116.3 MiB 131.1 MiB
v1_1 5,822,009 10,006,058 1.72 49.78 202.71 8429.07 -0.02 0.00 45 0.46 Directed Bipartite is_dataset name repository title subjects affiliations funders publisher journal published_date source created 101.7 MiB 154.5 MiB 154.0 MiB 196.4 MiB
v2_0 5,448,585 5,256,114 0.96 11.35 40.89 6824.42 -0.02 0.00 54 0.42 Directed Bipartite is_dataset name repository title subjects affiliations funders publisher journal published_date source created 88.3 MiB 129.1 MiB 128.6 MiB 173.5 MiB
v3_0 5,527,438 5,322,386 0.96 11.28 40.92 6685.01 -0.02 0.00 54 0.42 Directed Bipartite is_dataset name repository title subjects affiliations funders publisher journal published_date source created 90.3 MiB 132.2 MiB 131.8 MiB 178.0 MiB
v4_0 8,244,331 10,697,742 1.30 14.04 90.58 16343.67 -0.02 0.00 42 0.56 Directed Bipartite is_dataset name repository title subjects affiliations funders publisher journal published_date source created 136.6 MiB 208.9 MiB 207.5 MiB 261.3 MiB
v4_1 8,244,328 10,697,742 1.30 14.04 90.58 16347.49 -0.02 0.00 42 0.56 Directed Bipartite is_dataset name repository title subjects affiliations funders publisher journal published_date source created 136.5 MiB 208.9 MiB 207.5 MiB 261.4 MiB