Computational Provenance in DataONE: Implications for Cultural Heritage Institutions
نویسنده
چکیده
Provenance data is a type of metadata that computer scientists argue can support trustworthy and reliable replication of scientific results. From its origins in scientific workflow systems and database theory, and with concurrent interest from the ecological informatics community, a standard data model (PROV) and extensions for DataONE (ProvONE) have led to initial implementations in several tools commonly used by scientists (R, MATLAB) and in a global federation of scientific data repositories (DataONE). DataONE’s support for ingest, storage, indexing and retrieval of provenance data is presented. Implications for libraries and other cultural heritage organizations are identified. A research agenda for determining the applicability of the PROV model to cultural heritage institutions and their digital asset management systems is presented. Provenance; libraries; archives; museums; computational
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