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| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.12800 |
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| _version_ | 1866910653846913024 |
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| author | Meijer, Paul Aggoune, Yousef Ambrose, Madeline Beaubien, Aldan Harvey, James Howard, Nicole Inala, Neelima Johnson, Ed Kelsey, Autumn Kinsey, Melissa Liang, Jessica Mariz, Paul Pister, Stark Subramanian, Sathya Tereshchenko, Vitalii Vetto, Anne |
| author_facet | Meijer, Paul Aggoune, Yousef Ambrose, Madeline Beaubien, Aldan Harvey, James Howard, Nicole Inala, Neelima Johnson, Ed Kelsey, Autumn Kinsey, Melissa Liang, Jessica Mariz, Paul Pister, Stark Subramanian, Sathya Tereshchenko, Vitalii Vetto, Anne |
| contents | Scientific data governance should prioritize maximizing the utility of data throughout the research lifecycle. Research software systems that enable analysis reproducibility inform data governance policies and assist administrators in setting clear guidelines for data reuse, data retention, and the management of scientific computing needs. Proactive analysis reproducibility and data governance are integral and interconnected components of research lifecycle management. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_12800 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Reproducibility Needs Reshape Scientific Data Governance Meijer, Paul Aggoune, Yousef Ambrose, Madeline Beaubien, Aldan Harvey, James Howard, Nicole Inala, Neelima Johnson, Ed Kelsey, Autumn Kinsey, Melissa Liang, Jessica Mariz, Paul Pister, Stark Subramanian, Sathya Tereshchenko, Vitalii Vetto, Anne Computers and Society Scientific data governance should prioritize maximizing the utility of data throughout the research lifecycle. Research software systems that enable analysis reproducibility inform data governance policies and assist administrators in setting clear guidelines for data reuse, data retention, and the management of scientific computing needs. Proactive analysis reproducibility and data governance are integral and interconnected components of research lifecycle management. |
| title | Reproducibility Needs Reshape Scientific Data Governance |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2410.12800 |