Beyond data: Sharing related research outputs to make data reusable

Cousijn, Helena; Habermann, Ted; Krznarich, Liz; Meadows, Alice

doi:10.1002/leap.1429

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…As a consequence of the emerging enforcement of OD policies, OD has attracted extensive attention and debates in the scientific community. Firstly, some scholars argue that the main purpose of OD is to promote the dissemination and verification of scientific research findings, and make data available for reuse and research reproducible to further develop scientific research and discovery (Borgman, 2012 ; Cousijn et al, 2022 ; Zuiderwijk et al, 2020 ). Specifically, the benefits generated by OD include but not limite to: enabling the analysis of large volume of data, maximizing the contribution of research subjects, enabling new questions and testing novel hypotheses, enhancing reproducibility, providing test beds for new analytical methods, protecting valuable scientific resources, reducing the cost of doing science and avoiding duplication of effort (Campbell, 2015 ; Molloy, 2011 ; Rouder, 2016 ).…”

Section: Literature Review and Theoretical Hypothesesmentioning

confidence: 99%

Is open science a double-edged sword?: data sharing and the changing citation pattern of Chinese economics articles

Zhang

2023

Scientometrics

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Data sharing is an important part of open science (OS), and more and more institutions and journals have been enforcing open data (OD) policies. OD is advocated to help increase academic influences and promote scientific discovery and development, but such a proposition has not been elaborated on well. This study explores the nuanced effects of the OD policies on the citation pattern of articles by using the case of Chinese economics journals. China Industrial Economics (CIE) is the first and only Chinese social science journal so far to adopt a compulsory OD policy, requiring all published articles to share original data and processing codes. We use the article-level data and difference-in-differences (DID) approach to compare the citation performance of articles published in CIE and 36 comparable journals. Firstly, we find that the OD policy quickly increased the number of citations, and each article on average received 0.25, 1.19, 0.86, and 0.44 more citations in the first four years after publication respectively. Furthermore, we also found that the citation benefit of the OD policy rapidly decreased over time, and even became negative in the fifth year after publication. In conclusion, this changing citation pattern suggests that an OD policy can be double edged sword, which can quickly increase citation performance but simultaneously accelerate the aging of articles. Supplementary Information The online version contains supplementary material available at 10.1007/s11192-023-04684-8.

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Section: Literature Review and Theoretical Hypothesesmentioning

confidence: 99%

Is open science a double-edged sword?: data sharing and the changing citation pattern of Chinese economics articles

Zhang

2023

Scientometrics

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“…Cousijn 12 , et al asserted that data cannot be made openly available straightaway for facilitating data reuse. It used acronym FAIR and stated that the curated data needs to be made available in a FAIR way, where FAIR stands for Findable, Accessible, Interoperable and Reusable.…”

Section: Introductionmentioning

confidence: 99%

Research Data Curation in Academic Institutions Challenges & Expectations

Singh

Kumar

2023

DESIDOC Jl. Lib. Info. Technol.

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In the activity of Research Data Curation, the unpublished datasets generated during research are curated for possible reuse in future research by any researcher. Use of curated data, in several cases, may become helpful in avoiding repetition of efforts involved in generation of datasets. A large number of academic institutions in India are actively involved in research in various knowledge areas. Apart from the doctoral and post-doctoral research in academic institutions, academicians are involved in research projects sponsored by public or private bodies; thereby generating sizeable primary and secondary unpublished datasets worthy of curation in a data repository for possible reuse in some other research. For several reasons, curation efforts for research datasets in academic institutions in the country are negligible when compared to such efforts in research institutions. The present work makes an attempt to identify the cause of negligible research data curation efforts in academic institutions of India by uncovering the associated challenges and discusses the expectations from a Research Data Repository of academic institutions.

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The Role of Statistics in Promoting Data Reusability and Research Transparency

Nusser

2023

Annu. Rev. Stat. Appl.

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The value of research data has grown as the emphasis on research transparency and data-intensive research has increased. Data sharing is now required by funders and publishers and is becoming a disciplinary expectation in many fields. However, practices promoting data reusability and research transparency are poorly understood, making it difficult for statisticians and other researchers to reframe study methods to facilitate data sharing. This article reviews the larger landscape of open research and describes contextual information that data reusers need to understand, evaluate, and appropriately analyze shared data. The article connects data reusability to statistical thinking by considering the impact of the type and quality of shared research artifacts on the capacity to reproduce or replicate studies and examining quality evaluation frameworks to understand the nature of data errors and how they can be mitigated prior to sharing. Actions statisticians can take to update their research approaches for their own and collaborative investigations are suggested. Expected final online publication date for the Annual Review of Statistics and Its Application, Volume 10 is March 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Beyond data: Sharing related research outputs to make data reusable

Cited by 5 publications

References 19 publications

Is open science a double-edged sword?: data sharing and the changing citation pattern of Chinese economics articles

Is open science a double-edged sword?: data sharing and the changing citation pattern of Chinese economics articles

Research Data Curation in Academic Institutions Challenges & Expectations

The Role of Statistics in Promoting Data Reusability and Research Transparency

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