The value of data

Mons, Barend; Haagen, Herman van; Chichester, Christine; Hoen, Peter A C ‘t; Dunnen, Johan T. den; Ommen, Gert-Jan van; Mulligen, Erik M. van; Singh, Bharat Bhushan; Hooft, Rob; Roos, Marco; Hammond, Joel; Kiesel, Bruce; Giardine, Belinda; Velterop, Jan; Groth, Paul; Schultes, Erik

doi:10.1038/ng0411-281

Cited by 134 publications

(119 citation statements)

References 8 publications

(10 reference statements)

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“…to promote web-based semantic sharing, he co-founded an initiative called Concept web alliance. the organization with scientist members from many countries, aims to leverage semantic web approaches to organize knowledge into uniquely identified assertions, one example of which would be 'a inhibits B' 11 .…”

Section: Fair Share?mentioning

confidence: 99%

My data are your data

Marx¹

2012

Nat Biotechnol

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Section: Fair Share?mentioning

confidence: 99%

My data are your data

Marx¹

2012

Nat Biotechnol

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“…As a result, millions of papers have been published with findings based on these new methods. However, the reported results are almost always published in the form of traditional narrative scholarly publications (Mons et al, 2011). While narrative results can be read and understood by humans, they are not so easily digested by computers.…”

Section: Nanopublicationsmentioning

confidence: 99%

Nanopublication beyond the sciences: the PeriodO period gazetteer

Golden

Shaw

2016

PeerJ Computer Science

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The information expressed in humanities datasets is inextricably tied to a wider discursive environment that is irreducible to complete formal representation. Humanities scholars must wrestle with this fact when they attempt to publish or consume structured data. The practice of "nanopublication," which originated in the e-science domain, offers a way to maintain the connection between formal representations of humanities data and its discursive basis. In this paper we describe nanopublication, its potential applicability to the humanities, and our experience curating humanities nanopublications in the PeriodO period gazetteer.

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“…The work presented here combines the pragmatic approaches of (Hoekstra et al, 2012;Huang et al, 2014) and (Mons et al, 2011) in a model that takes the epistemological stance that the evidence underlying a recommendation expresses a belief that a care action causes a certain state transition. This strategy allows for using classical logic-based languages for handling inconsistent knowledge, such as conflicting findings published in different clinical studies.…”

Section: Related Workmentioning

confidence: 99%

“…It includes UMLS identifiers for medical terms appearing in the text and use proximity, and the types of terms to infer the type and strength of the evidence that underlies recommendations. The Nanopublication model (Mons et al, 2011) seems to be a natural fit to modeling the evidence that underlies guidelines. It represents a publication as three RDF graphs, that respectively capture an assertion (the finding or evidence), the provenance of the assertion (e.g.…”

Section: Related Workmentioning

confidence: 99%

Generalizing the Detection of Internal and External Interactions in Clinical Guidelines

Zamborlini

Hoekstra

Silveira

et al. 2016

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies

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Zamborlini, V.; Hoekstra, R.J.; da Silveira, M.; Pruski, C.; ten Teije-Koppen, A.C.M.; van Harmelen, F.A.H. Link to publication Citation for published version (APA):Zamborlini, V., Hoekstra, R., da Silveira, M., Pruski, C., ten Teije, A., & van Harmelen, F. (2016 General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. Abstract: This paper presents a method for formally representing Computer-Interpretable Guidelines to deal with multimorbidity. Although some approaches for merging guidelines exist, improvements are still required for combining several sources of information and coping with possibly conflicting pieces of evidence coming from clinical studies. Our main contribution is twofold: (i) we provide general models and rules for representing guidelines that expresses evidence as causation beliefs; (ii) we introduce a mechanism to exploit external medical knowledge acquired from Linked Open Data (Drugbank, Sider, DIKB) to detect potential interactions between recommendations. We apply this framework to merge three guidelines (Osteoarthritis, Diabetes, and Hypertension) in order to illustrate the capability of this approach for detecting potential conflicts between guidelines and eventually propose alternatives.

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The value of data

Cited by 134 publications

References 8 publications

My data are your data

My data are your data

Nanopublication beyond the sciences: the PeriodO period gazetteer

Generalizing the Detection of Internal and External Interactions in Clinical Guidelines

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