Title |
PAV ontology: provenance, authoring and versioning
|
---|---|
Published in |
Journal of Biomedical Semantics, November 2013
|
DOI | 10.1186/2041-1480-4-37 |
Pubmed ID | |
Authors |
Paolo Ciccarese, Stian Soiland-Reyes, Khalid Belhajjame, Alasdair JG Gray, Carole Goble, Tim Clark |
Abstract |
Provenance is a critical ingredient for establishing trust of published scientific content. This is true whether we are considering a data set, a computational workflow, a peer-reviewed publication or a simple scientific claim with supportive evidence. Existing vocabularies such as Dublin Core Terms (DC Terms) and the W3C Provenance Ontology (PROV-O) are domain-independent and general-purpose and they allow and encourage for extensions to cover more specific needs. In particular, to track authoring and versioning information of web resources, PROV-O provides a basic methodology but not any specific classes and properties for identifying or distinguishing between the various roles assumed by agents manipulating digital artifacts, such as author, contributor and curator. |
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Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 2 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 2% |
Spain | 2 | 2% |
United Kingdom | 2 | 2% |
Germany | 1 | 1% |
Austria | 1 | 1% |
Canada | 1 | 1% |
France | 1 | 1% |
Mexico | 1 | 1% |
Japan | 1 | 1% |
Other | 2 | 2% |
Unknown | 82 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 24% |
Student > Master | 16 | 17% |
Student > Ph. D. Student | 14 | 15% |
Student > Bachelor | 8 | 8% |
Professor > Associate Professor | 6 | 6% |
Other | 18 | 19% |
Unknown | 11 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 46 | 48% |
Agricultural and Biological Sciences | 15 | 16% |
Engineering | 4 | 4% |
Social Sciences | 4 | 4% |
Business, Management and Accounting | 2 | 2% |
Other | 9 | 9% |
Unknown | 16 | 17% |