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.
%0 Generic
%1 ciccarese2013ontology
%A Ciccarese, Paolo
%A Soiland-Reyes, Stian
%A Belhajjame, Khalid
%A Gray, Alasdair J. G.
%A Goble, Carole A.
%A Clark, Tim
%D 2013
%I BioMed Central
%J Journal of Biomedical Semantics
%K pav provenance research ontologies
%N 37
%R 10.1186/2041-1480-4-37
%T PAV ontology: provenance, authoring and versioning
%U http://www.jbiomedsem.com/content/4/1/37
%V 4
%X 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.
@misc{ciccarese2013ontology,
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.},
added-at = {2014-09-15T12:06:17.000+0200},
author = {Ciccarese, Paolo and Soiland-Reyes, Stian and Belhajjame, Khalid and Gray, Alasdair J. G. and Goble, Carole A. and Clark, Tim},
biburl = {https://www.bibsonomy.org/bibtex/2898e4501e44419e033fd5687e6113a76/victoria_helen},
doi = {10.1186/2041-1480-4-37},
interhash = {e660082e92a6fdd4da2f5cb68c11ecfa},
intrahash = {898e4501e44419e033fd5687e6113a76},
journal = {Journal of Biomedical Semantics},
keywords = {pav provenance research ontologies},
number = 37,
pmid = {24267948},
publisher = {BioMed Central},
timestamp = {2015-01-02T12:27:13.000+0100},
title = {PAV ontology: provenance, authoring and versioning},
type = {Research},
url = {http://www.jbiomedsem.com/content/4/1/37},
volume = 4,
year = 2013
}