| Autor: |
Aaron M. Ellison, Emery R. Boose, Barbara S. Lerner, Elizabeth Fong, Margo Seltzer |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Patterns, Vol 1, Iss 2, Pp 100016- (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2666-3899 |
| DOI: |
10.1016/j.patter.2020.100016 |
| Popis: |
Data provenance is a machine-readable summary of the collection and computational history of a dataset. Data provenance confers or adds value to a dataset, helps reproduce computational analyses, or validates scientific conclusions. The people of the End-to-End Provenance Project are a community of professionals who have developed software tools to collect and use data provenance. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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