@incollection{upm3989,
           month = {Diciembre},
          author = {E. Deelman and B. Berriman and A. Chervenak and Oscar Corcho and P. Groth and L. Moreau},
            note = {Ontology Engineering Group ? OEG},
       booktitle = {Scientific Data Management: Challenges, Existing Technology, and Deployment},
          editor = {A Shoshani and D Rotem},
           title = {Metadata and provenance management},
         address = {Florida, USA},
       publisher = {CRC Press, Taylor and Francis Group},
            year = {2009},
         journal = {CoRR},
           pages = {433--466},
        keywords = {oeg},
             url = {http://oa.upm.es/3989/},
        abstract = {Scientists today collect, analyze, and generate TeraBytes and PetaBytes of data. These data are often shared and further processed and analyzed among collaborators. In order to facilitate sharing and data interpretations, data need to carry with it metadata about how the data was collected or generated, and provenance information about how the data was processed. This chapter describes metadata and provenance in the context of the data lifecycle. It also gives an overview of the approaches to metadata and provenance management, followed by examples of how applications use metadata and provenance in their scientific processes.}
}