Why linked data is not enough for scientists

被引：152

作者：

Bechhofer, Sean ^{[1
]}

Buchan, Iain ^{[2
]}

De Roure, David ^{[3
,4
]}

Missier, Paolo ^{[1
]}

Ainsworth, John ^{[2
]}

Bhagat, Jiten ^{[1
]}

Couch, Philip ^{[2
]}

Cruickshank, Don ^{[3
]}

Delderfield, Mark ^{[2
]}

Dunlop, Ian ^{[1
]}

Gamble, Matthew ^{[1
]}

Michaelides, Danius ^{[3
]}

Owen, Stuart ^{[1
]}

Newman, David ^{[3
]}

Sufi, Shoaib ^{[1
]}

Goble, Carole ^{[1
]}

机构：

[1] Univ Manchester, Sch Comp Sci, Manchester M13 9PL, Lancs, England

[2] Univ Manchester, Sch Community Based Med, Manchester M13 9PL, Lancs, England

[3] Univ Southampton, Sch Elect & Comp Sci, Southampton SO9 5NH, Hants, England

[4] Univ Oxford, Oxford E Res Ctr, Oxford OX1 2JD, England

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2013年 / 29卷 / 02期

基金：

英国生物技术与生命科学研究理事会; 英国工程与自然科学研究理事会;

关键词：

Research object; Linked data; Reproducibility; Reuse; Sharing; Publishing; ONTOLOGY;

D O I：

10.1016/j.future.2011.08.004

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Scientific data represents a significant portion of the linked open data cloud and scientists stand to benefit from the data fusion capability this will afford. Publishing linked data into the cloud, however, does not ensure the required reusability. Publishing has requirements of provenance, quality, credit, attribution and methods to provide the reproducibility that enables validation of results. In this paper we make the case for a scientific data publication model on top of linked data and introduce the notion of Research Objects as first class citizens for sharing and publishing. (C) 2011 Elsevier B.V. All rights reserved,

引用

页码：599 / 611

页数：13

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