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From Policy to Practice: How Journal...

Lewis, Thu-Mai.

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From Policy to Practice: How Journal-Based Data Policies Encourage Scientists' Adoption of Reproducible Research Practices.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	From Policy to Practice: How Journal-Based Data Policies Encourage Scientists' Adoption of Reproducible Research Practices./
作者:	Lewis, Thu-Mai.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	108 p.
附註:	Source: Dissertations Abstracts International, Volume: 84-11, Section: B.
Contained By:	Dissertations Abstracts International84-11B.
標題:	Information science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30420850
ISBN:	9798379556310

From Policy to Practice: How Journal-Based Data Policies Encourage Scientists' Adoption of Reproducible Research Practices.
Lewis, Thu-Mai.

From Policy to Practice: How Journal-Based Data Policies Encourage Scientists' Adoption of Reproducible Research Practices. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 108 p.

Source: Dissertations Abstracts International, Volume: 84-11, Section: B.

Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2023.

According to several studies, researchers are not sharing the data underpinning their published scientific results, despite their general consensus that sharing data is critical to the research enterprise. Among other benefits, data sharing allows for verification of claims, which is essential to scientific integrity. Research funders, journal editors, and professional associations have insisted on the importance of data sharing by issuing policies and codes of ethics that mandate the practice. However, these mandates have not always been proven to compel researchers to share their data as evidenced by failed attempts to locate data underlying published results or sharing data that do not meet quality standards to allow for verification or reuse. This dissertation seeks to understand the incongruity between researchers' belief that data sharing is essential to science and their failure to produce and share data underlying their reported findings-even when policy requires them to do so.To address this phenomenon, the dissertation investigates the implementation and outcomes of the rigorous American Journal of Political Science (AJPS) verification policy that makes publication in the journal contingent on submission of data, code, and supporting documentation (i.e., the research compendium). Prior to publication, research compendia undergo a third-party verification process to confirm the computational reproducibility of findings presented in the manuscript. In most cases, authors fail initially to produce a compendium that meets policy requirements for completeness, understandability, and computational reproducibility.Using the theory of planned behavior (TPB) as a framework, the study investigates the specific behavioral factors that affect authors' success or failure in producing reproducible research compendia. Employing a mixed-methods/grounded theory approach, the study analyzes records of verification results and interviews with AJPS authors who were subject to the verification policy to learn about their specific reproducible research practices (or lack thereof) and their outcomes. Based on the results of the study, I identify the most common and impactful issues that appear in submitted research compendia that render them non-reproducible, and suggest reasons that authors encounter these issues. Finally, I propose an extension of TPB that suggests how the policy compels and supports behaviors that promote research reproducibility.

ISBN: 9798379556310Subjects--Topical Terms:

554358
Information science.
Subjects--Index Terms:

Computational reproducibility

From Policy to Practice: How Journal-Based Data Policies Encourage Scientists' Adoption of Reproducible Research Practices.
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