Research networks in data repositories

Mark R. Costa, Jian Qin, Jun Wang

Research output: Chapter in Book/Entry/PoemConference contribution

2 Scopus citations


This paper reports our ongoing work investigating the structural features of scientific collaboration based on metadata collected from a scientific data repository (SDR). The background literature is reviewed in supporting our claim that metadata collected from SDRs offer a complimentary data source to traditional publication metadata collected from digital libraries. Methodological considerations are discussed in association with using metadata from SDRs, including author name disambiguation and data parsing. Initial findings show that the network has some unique macro-level structural features while also in agreement with existing networks theories. Challenges due to inconsistent metadata quality control procedures are also discussed in an attempt to reinforce claims that metadata should be designed to support both domain specific retrieval and evaluation and assessment needs.

Original languageEnglish (US)
Title of host publication2014 IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781479955695
StatePublished - Dec 1 2014
Event2014 14th IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014 - London, United Kingdom
Duration: Sep 8 2014Sep 12 2014

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996


Other2014 14th IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014
Country/TerritoryUnited Kingdom


  • Scientific data repositories
  • complex network analysis
  • metadata
  • scientific collaboration
  • scientific collaboration networks

ASJC Scopus subject areas

  • General Engineering


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