Nanopublications for exposing experimental data in the life-sciences: a Huntington’s Disease case study

Journal of Biomedical Semantics

Marco Roos¹  Barend Mons¹  Erik A Schultes¹  Kristina M Hettne¹  Zuotian Tatum¹  van Eelke der Horst¹  Jun Zhao²  Rajaram Kaliyaperumal¹  Mark Thompson¹  Eleni Mina¹ 

[1]Department of Human Genetics, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands

[2]Department of Zoology, University of Oxford, Oxford, UK

关键词: Data integration;    Interoperability;    Workflows;    Research object;    Provenance;    Nanopublication;    Huntington’s disease;   

Others  :  1221436
DOI  :  10.1186/2041-1480-6-5

 received in 2014-05-31, accepted in 2015-02-09,  发布年份 2015

【 摘 要 】

Data from high throughput experiments often produce far more results than can ever appear in the main text or tables of a single research article. In these cases, the majority of new associations are often archived either as supplemental information in an arbitrary format or in publisher-independent databases that can be difficult to find. These data are not only lost from scientific discourse, but are also elusive to automated search, retrieval and processing. Here, we use the nanopublication model to make scientific assertions that were concluded from a workflow analysis of Huntington’s Disease data machine-readable, interoperable, and citable. We followed the nanopublication guidelines to semantically model our assertions as well as their provenance metadata and authorship. We demonstrate interoperability by linking nanopublication provenance to the Research Object model. These results indicate that nanopublications can provide an incentive for researchers to expose data that is interoperable and machine-readable for future use and preservation for which they can get credits for their effort. Nanopublications can have a leading role into hypotheses generation offering opportunities to produce large-scale data integration.

【 授权许可】

   
2015 Mina et al.; licensee BioMed Central.

【 图 表 】

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