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2016 ; 5
(ä): ä Nephropedia Template TP
gab.com Text
Twit Text FOAVip
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English Wikipedia
Patterns of database citation in articles and patents indicate long-term
scientific and industry value of biological data resources
#MMPMID27092246
Bousfield D
; McEntyre J
; Velankar S
; Papadatos G
; Bateman A
; Cochrane G
; Kim JH
; Graef F
; Vartak V
; Alako B
; Blomberg N
F1000Res
2016[]; 5
(ä): ä PMID27092246
show ga
Data from open access biomolecular data resources, such as the European
Nucleotide Archive and the Protein Data Bank are extensively reused within life
science research for comparative studies, method development and to derive new
scientific insights. Indicators that estimate the extent and utility of such
secondary use of research data need to reflect this complex and highly variable
data usage. By linking open access scientific literature, via Europe
PubMedCentral, to the metadata in biological data resources we separate data
citations associated with a deposition statement from citations that capture the
subsequent, long-term, reuse of data in academia and industry. We extend this
analysis to begin to investigate citations of biomolecular resources in patent
documents. We find citations in more than 8,000 patents from 2014, demonstrating
substantial use and an important role for data resources in defining biological
concepts in granted patents to both academic and industrial innovators. Combined
together our results indicate that the citation patterns in biomedical literature
and patents vary, not only due to citation practice but also according to the
data resource cited. The results guard against the use of simple metrics such as
citation counts and show that indicators of data use must not only take into
account citations within the biomedical literature but also include reuse of data
in industry and other parts of society by including patents and other scientific
and technical documents such as guidelines, reports and grant applications.