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A Proposed Approach for Provenance Data Gathering

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Abstract

Data provenance focuses on the source of the data and on the identification of data sources and their transformations undergone over time. This paper proposes a generic method for collecting provenance data, and is a follow-up of a study carried out by the same authors in a Brazilian hemotherapy center. This method is based on the W3C’s Provenance Data Model (PROV-DM), and proposes a way to capture, store and analyze anemia-index provenance data by applying a scientific workflow, together with the management of provenance of knowledge. This is an exploratory, practical and deductive study carried out with real data from 197,551 candidates for blood donors, extracted from reports ranging from 2000 to 2018 provided by a Brazilian hemotherapy center. People identified with high anemia rates were quantified and tagged as not-suitable for blood donations. The inadequate candidates were quantified with the highest rate of anemia, and out of 1011 male candidates and 4039 female candidates, women had the highest levels of inadequate blood donations. At the end of this study, it can be concluded that the generic method for collecting data provenance proposed here can be applied in several areas of knowledge.

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Data Availability

Data made available from research previously published in consent by the same authors of that study.

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Authors and Affiliations

  1. Department of Information Science, Federal University of Santa Catarina, Florianópolis, Brazil

    Márcio José Sembay, Douglas Dyllon Jeronimo de Macedo & Moisés Lima Dutra

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  1. Márcio José Sembay
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  2. Douglas Dyllon Jeronimo de Macedo
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SEMBAY MJ collaborated in the conception, collection and analysis of data and writing of the article. MACEDO DDJ and DUTRA ML collaborated in data analysis, writing and review of the article.

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Correspondence to Márcio José Sembay.

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Sembay, M.J., de Macedo, D.D.J. & Dutra, M.L. A Proposed Approach for Provenance Data Gathering. Mobile Netw Appl 26, 304–318 (2021). https://doi.org/10.1007/s11036-020-01648-7

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