The Practice of Reproducible Research : Case Studies and Lessons From the Data-Intensive Sciences
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| Title: | The Practice of Reproducible Research : Case Studies and Lessons From the Data-Intensive Sciences |
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| Description: | 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. In each of the thirty-one case studies in this volume, the author or team describes the workflow that they used to complete a real-world research project. Authors highlight how they utilized particular tools, ideas, and practices to support reproducibility, emphasizing the very practical how, rather than the why or what, of conducting reproducible research. Part 1 provides 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 themselves. 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. |
| Authors: | Justin Kitzes |
| Resource Type: | eBook. |
| Subjects: | Statistics--Data processing, Research--Statistical methods, Reproducible research, Electronic data processing |
| Categories: | SCIENCE / Earth Sciences / General, SCIENCE / Physics / General |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Practice of Reproducible Research : Case Studies and Lessons From the Data-Intensive Sciences – Name: Abstract Label: Description Group: Ab Data: 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. In each of the thirty-one case studies in this volume, the author or team describes the workflow that they used to complete a real-world research project. Authors highlight how they utilized particular tools, ideas, and practices to support reproducibility, emphasizing the very practical how, rather than the why or what, of conducting reproducible research. Part 1 provides 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 themselves. 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Justin+Kitzes%22">Justin Kitzes</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Statistics--Data+processing%22">Statistics--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Research--Statistical+methods%22">Research--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Reproducible+research%22">Reproducible research</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Earth+Sciences+%2F+General%22">SCIENCE / Earth Sciences / General</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Physics+%2F+General%22">SCIENCE / Physics / General</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 507.21 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Statistics--Data processing Type: general – SubjectFull: Research--Statistical methods Type: general – SubjectFull: Reproducible research Type: general – SubjectFull: Electronic data processing Type: general Titles: – TitleFull: The Practice of Reproducible Research : Case Studies and Lessons From the Data-Intensive Sciences Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Justin Kitzes – PersonEntity: Name: NameFull: Justin Kitzes IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2018 – D: 17 M: 10 Type: profile Y: 2017 Identifiers: – Type: isbn-print Value: 9780520294745 – Type: isbn-print Value: 9780520294752 – Type: isbn-electronic Value: 9780520967779 Titles: – TitleFull: The Practice of Reproducible Research : Case Studies and Lessons From the Data-Intensive Sciences Type: main |
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