The practice of reproducible research: case studies and lessons from the data-intensive sciences
"The Practice of Reproducible Research presents concrete examples of how researchers in the data-intensive sciences are working to improve the reproducibility of their research projects. Each of the thirty-one case studies in this volume describes the workflow that an author used to complete a...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oakland, California
University of California Press
[2018]
|
| Schlagworte: | |
| Online-Zugang: | UPA01 Volltext |
| Zusammenfassung: | "The Practice of Reproducible Research presents concrete examples of how researchers in the data-intensive sciences are working to improve the reproducibility of their research projects. Each of the thirty-one case studies in this volume describes the workflow that an author used to complete a real-world research project, highlighting how particular tools, ideas, and practices have been combined to support reproducibility. Authors emphasize the very practical how, rather than the why or what, of conducting reproducible research. Part 1 contains an accessible introduction to reproducible research, a basic reproducible research project template, and a synthesis of lessons learned from across the thirty-one case studies. Parts 2 and 3 focus on the case studies. The Practice of Reproducible Research is an invaluable resource for students and researchers who wish to better understand the practice of data-intensive sciences and learn how to make their own research more reproducible."...Provided by publisher |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (xxv, 337 Seiten) Diagramme |
| ISBN: | 9780520967779 |
| DOI: | 10.1525/9780520967779 |
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| spelling | The practice of reproducible research case studies and lessons from the data-intensive sciences edited by Justin Kitzes, Daniel Turek, and Fatma Deniz Oakland, California University of California Press [2018] © 2018 1 Online-Ressource (xxv, 337 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index "The Practice of Reproducible Research presents concrete examples of how researchers in the data-intensive sciences are working to improve the reproducibility of their research projects. Each of the thirty-one case studies in this volume describes the workflow that an author used to complete a real-world research project, highlighting how particular tools, ideas, and practices have been combined to support reproducibility. Authors emphasize the very practical how, rather than the why or what, of conducting reproducible research. Part 1 contains an accessible introduction to reproducible research, a basic reproducible research project template, and a synthesis of lessons learned from across the thirty-one case studies. Parts 2 and 3 focus on the case studies. The Practice of Reproducible Research is an invaluable resource for students and researchers who wish to better understand the practice of data-intensive sciences and learn how to make their own research more reproducible."...Provided by publisher Reproducible research Electronic data processing Research Statistical methods Statistics Data processing Empirische Forschung (DE-588)4300400-3 gnd rswk-swf Reproduzierbarkeit (DE-588)4586094-4 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content (DE-588)4522595-3 Fallstudiensammlung gnd-content Empirische Forschung (DE-588)4300400-3 s Datenanalyse (DE-588)4123037-1 s Reproduzierbarkeit (DE-588)4586094-4 s DE-604 Kitzes, Justin 1982- (DE-588)1166366278 edt Turek, Daniel 1980- (DE-588)1166366359 edt Deniz, Fatma edt Erscheint auch als Druck-Ausgabe 978-0-520-29474-5 Erscheint auch als Druck-Ausgabe 978-0-520-29475-2 https://doi.org/10.1525/9780520967779 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | The practice of reproducible research case studies and lessons from the data-intensive sciences Reproducible research Electronic data processing Research Statistical methods Statistics Data processing Empirische Forschung (DE-588)4300400-3 gnd Reproduzierbarkeit (DE-588)4586094-4 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4300400-3 (DE-588)4586094-4 (DE-588)4123037-1 (DE-588)4143413-4 (DE-588)4522595-3 |
| title | The practice of reproducible research case studies and lessons from the data-intensive sciences |
| title_auth | The practice of reproducible research case studies and lessons from the data-intensive sciences |
| title_exact_search | The practice of reproducible research case studies and lessons from the data-intensive sciences |
| title_exact_search_txtP | The practice of reproducible research case studies and lessons from the data-intensive sciences |
| title_full | The practice of reproducible research case studies and lessons from the data-intensive sciences edited by Justin Kitzes, Daniel Turek, and Fatma Deniz |
| title_fullStr | The practice of reproducible research case studies and lessons from the data-intensive sciences edited by Justin Kitzes, Daniel Turek, and Fatma Deniz |
| title_full_unstemmed | The practice of reproducible research case studies and lessons from the data-intensive sciences edited by Justin Kitzes, Daniel Turek, and Fatma Deniz |
| title_short | The practice of reproducible research |
| title_sort | the practice of reproducible research case studies and lessons from the data intensive sciences |
| title_sub | case studies and lessons from the data-intensive sciences |
| topic | Reproducible research Electronic data processing Research Statistical methods Statistics Data processing Empirische Forschung (DE-588)4300400-3 gnd Reproduzierbarkeit (DE-588)4586094-4 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Reproducible research Electronic data processing Research Statistical methods Statistics Data processing Empirische Forschung Reproduzierbarkeit Datenanalyse Aufsatzsammlung Fallstudiensammlung |
| url | https://doi.org/10.1525/9780520967779 |
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