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Citing a Data Repository: A Case Study of the Protein Data Bank
Yi-Hung Huang1, Peter W Rose2, Chun-Nan Hsu3
1Department of Computer Science, National Taiwan University, Taipei 106, Taiwan; Intel-NTU Connected Context Computing Center, National Taiwan University, Taipei 106, Taiwan.
Plos One
|August 29, 2015
Summary
Researchers analyzed how scientists cite the Protein Data Bank (PDB), a key resource for 3D molecular structures. The original 2000 publication remains highly cited, while URL citations are increasing, impacting traditional citation metrics.
Area of Science:
- Biomedical data science
- Structural biology
- Bibliometrics
Background:
- The Protein Data Bank (PDB) is a crucial global repository for 3D molecular structures.
- Understanding data citation practices is essential for assessing the impact of data repositories.
- The PDB's extensive dataset and citation history offer a unique case study for data citation analysis.
Purpose of the Study:
- To systematically investigate how authors cite the Protein Data Bank (PDB).
- To develop and apply a novel metric for analyzing data citation influence.
- To understand trends in citing biomedical data repositories.
Main Methods:
- Explored the citation network of the PDB.
- Developed a novel metric based on information cascade to measure influence.
- Analyzed citation practices, including paper citations and URL mentions.
- Correlated PDB Web access statistics with citation data.
Main Results:
- The original 2000 RCSB PDB publication continues to be the most cited, overshadowing subsequent updates.
- Follow-up publications by the Worldwide Protein Data Bank (wwPDB) organization have not matched the original's influence.
- Authors increasingly cite PDB via URLs in text, disrupting traditional literature citation growth.
- PDB Web access strongly correlates with in-text URL mentions.
Conclusions:
- Traditional citation metrics may not fully capture the impact of data repositories like PDB.
- The shift towards URL citations presents challenges for assessing repository influence.
- Insights into these citation trends can inform strategies for measuring the impact of scientific data resources.
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