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Schreiber, Andreas (2017) Provenance for Reproducible Data Science. PyData Seattle 2017, 2017-07-05 - 2017-07-07, Redmond, USA.
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Official URL: https://pydata.org/seattle2017/schedule/presentation/62/
Abstract
In science, results that are not reproducible by peer scientists are valueless and of no significance. Among other practices, recording the provenance of data facilitates to reproduce results in data science and users can be confident in quality of the data. The talk shows how to record and to analyse provenance using the provenance model PROV for Python data analytics processes.
| Item URL in elib: | https://elib.dlr.de/113546/ | ||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||
| Additional Information: | Video: https://www.youtube.com/watch?v=79c3wCVNsnc | ||||||||
| Title: | Provenance for Reproducible Data Science | ||||||||
| Authors: |
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| Date: | 6 July 2017 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | data science, provenance, reproducibility, python, pydata | ||||||||
| Event Title: | PyData Seattle 2017 | ||||||||
| Event Location: | Redmond, USA | ||||||||
| Event Type: | international Conference | ||||||||
| Event Start Date: | 5 July 2017 | ||||||||
| Event End Date: | 7 July 2017 | ||||||||
| Organizer: | NumFOCUS | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Space System Technology | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R SY - Space System Technology | ||||||||
| DLR - Research theme (Project): | R - Vorhaben SISTEC (old) | ||||||||
| Location: | Köln-Porz | ||||||||
| Institutes and Institutions: | Institut of Simulation and Software Technology Institut of Simulation and Software Technology > Distributed Systems and Component Software | ||||||||
| Deposited By: | Schreiber, Andreas | ||||||||
| Deposited On: | 21 Aug 2017 10:33 | ||||||||
| Last Modified: | 24 Apr 2024 20:18 |
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