DocumentCode
168359
Title
Research networks in data repositories
Author
Costa, M.R. ; Jian Qin ; Jun Wang
Author_Institution
Sch. of Inf. Studies, Syracuse Univ., Syracuse, NY, USA
fYear
2014
fDate
8-12 Sept. 2014
Firstpage
403
Lastpage
406
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.
Keywords
data integration; digital libraries; meta data; SDR; complex network analysis; complimentary data source; digital libraries; metadata; metadata quality control procedures; network theories; publication metadata; scientific data repository; unique macrolevel structural features; Abstracts; Collaboration; Databases; Educational institutions; Scientific data repositories; complex network analysis; metadata; scientific collaboration; scientific collaboration networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Libraries (JCDL), 2014 IEEE/ACM Joint Conference on
Conference_Location
London
Type
conf
DOI
10.1109/JCDL.2014.6970197
Filename
6970197
Link To Document