Research networks in data repositories

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Pages403-406
Number of pages4
ISBN (Electronic)9781479955695
DOIs
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

Other

Other2014 14th IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014
CountryUnited Kingdom
CityLondon
Period9/8/149/12/14

Keywords

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

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Research networks in data repositories'. Together they form a unique fingerprint.

Cite this