Archives des mots-clés : research data

“We Share All Data with Each Other”: Data-Sharing in Peer-to-Peer Relationships

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Author : Eva Barlösius

Although the topic of data-sharing has boomed in the past few years, practices of datasharing have attracted only scant attention within working groups and scientific cooperation (peer-to-peer data-sharing).

To understand these practices, the author draws on Max Weber’s concept of social relationship, conceptualizing data-sharing as social action that takes place within a social relationship. The empirical material consists of interviews with 34 researchers representing five disciplines—linguistics, biology, psychology, computer sciences, and neurosciences.

The analysis identifies three social forms of data-sharing in peer-to-peer relationships: (a) closed communal sharing, which is based on a feeling of belonging together; (b) closed associative sharing, in which the participants act on the basis of an agreement; and (c) open associative sharing, which is oriented to “institutional imperatives” (Merton) and to formal regulations.

The study shows that far more data-sharing is occurring in scientific practice than seems to be apparent from a concept of open data alone. If the main goal of open-data policy programs is to encourage researchers to increase access to their data, it could be instructive to study the three forms of data-sharing to improve the understanding of why and how scientists make their data accessible to other researchers.

URL : “We Share All Data with Each Other”: Data-Sharing in Peer- to-Peer Relationships

DOI : https://doi.org/10.1007/s11024-023-09487-y

Initial insight into three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles

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Authors : Yukiko Sakai, Yosuke Miyata, Keiko Yokoi, Yuqing Wang, Keiko Kurata

While data sharing has received research interest in recent times, its real status remains unclear, owing to its ambiguous concept. To understand the current status of data sharing, this study examined primary reuse, data integration, and dataset release as the actual practices of data sharing.

A total of 963 articles, chosen from those published in 2018 and registered in the Web of Science global citation database, were manually checked. Existing data were reused in the mode of data integration (13.3%) as frequently as they were for the mode of primary reuse (12.1%). Dataset release was the least common mode (9.0%).

The results show the variation in data sharing and indicate the need for standardization of data description in articles based on thorough registration and expansion in public data archives to close the loop that results in the virtuous cycle of research data.

URL : Initial insight into three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles

DOI : https://doi.org/10.1002/leap.1546

Rhetorical Features and Functions of Data References in Academic Articles

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Authors : Sara Lafia, Andrea Thomer, Elizabeth Moss, David Bleckley, Libby Hemphill

Data reuse is a common practice in the social sciences. While published data play an essential role in the production of social science research, they are not consistently cited, which makes it difficult to assess their full scholarly impact and give credit to the original data producers.

Furthermore, it can be challenging to understand researchers’ motivations for referencing data. Like references to academic literature, data references perform various rhetorical functions, such as paying homage, signaling disagreement, or drawing comparisons. This paper studies how and why researchers reference social science data in their academic writing.

We develop a typology to model relationships between the entities that anchor data references, along with their features (access, actions, locations, styles, types) and functions (critique, describe, illustrate, interact, legitimize). We illustrate the use of the typology by coding multidisciplinary research articles (n = 30) referencing social science data archived at the Inter-university Consortium for Political and Social Research (ICPSR).

We show how our typology captures researchers’ interactions with data and purposes for referencing data. Our typology provides a systematic way to document and analyze researchers’ narratives about data use, extending our ability to give credit to data that support research.

URL : Rhetorical Features and Functions of Data References in Academic Articles

DOI : https://doi.org/10.5334/dsj-2023-010

Do Open Access Mandates Work? A Systematized Review of the Literature on Open Access Publishing Rates

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Authors : Elena Azadbakht, Tara Radniecki, Teresa Schultz, Amy W. Shannon

To encourage the sharing of research, various entities—including public and private funders, universities, and academic journals—have enacted open access (OA) mandates or data sharing policies.

It is unclear, however, whether these OA mandates and policies increase the rate of OA publishing and data sharing within the research communities impacted by them. A team of librarians conducted a systematized review of the literature to answer this question. A comprehensive search of several scholarly databases and grey literature sources resulted in 4,689 unique citations.

However, only five articles met the inclusion criteria and were deemed as having an acceptable risk of bias. This sample showed that although the majority of the mandates described in the literature were correlated with a subsequent increase in OA publishing or data sharing, the presence of various confounders and the differing methods of collecting and analyzing the data used by the studies’ authors made it impossible to establish a causative relationship.

URL : Do Open Access Mandates Work? A Systematized Review of the Literature on Open Access Publishing Rates

DOI : https://doi.org/10.31274/jlsc.15444

What constitutes equitable data sharing in global health research? A scoping review of the literature on low-income and middle-income country stakeholders’ perspectives

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Authors : Natalia Evertsz, Susan Bull, Bridget Pratt

Introduction

Despite growing consensus on the need for equitable data sharing, there has been very limited discussion about what this should entail in practice. As a matter of procedural fairness and epistemic justice, the perspectives of low-income and middle-income country (LMIC) stakeholders must inform concepts of equitable health research data sharing.

This paper investigates published perspectives in relation to how equitable data sharing in global health research should be understood.

Methods

We undertook a scoping review (2015 onwards) of the literature on LMIC stakeholders’ experiences and perspectives of data sharing in global health research and thematically analysed the 26 articles included in the review.

Results

We report LMIC stakeholders’ published views on how current data sharing mandates may exacerbate inequities, what structural changes are required in order to create an environment conducive to equitable data sharing and what should comprise equitable data sharing in global health research.

Conclusions

In light of our findings, we conclude that data sharing under existing mandates to share data (with minimal restrictions) risks perpetuating a neocolonial dynamic. To achieve equitable data sharing, adopting best practices in data sharing is necessary but insufficient. Structural inequalities in global health research must also be addressed.

It is thus imperative that the structural changes needed to ensure equitable data sharing are incorporated into the broader dialogue on global health research.

URL : What constitutes equitable data sharing in global health research? A scoping review of the literature on low-income and middle-income country stakeholders’ perspectives

DOI : http://dx.doi.org/10.1136/bmjgh-2022-010157

Publishers, funders and institutions: who is supporting UKRI-funded researchers to share data?

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Authors : Beth Montague-Hellen, Kate Montague-Hellen

Researchers are increasingly being asked by funders, publishers and their institutions to share research data alongside written publications, and to include data availability statements to support their readers in finding this data.

In the UK, UKRI (UK Research and Innovation) is one of the largest funding bodies and has had data-sharing policies for several years. This article investigates the reasons why a researcher may or may not share their data and assesses whether funders, publishers and institutions are supporting data-sharing behaviour through their policies and actions.

A survey with 166 responses gave an indicative assessment of researcher opinions around data sharing, and a corpus of 3,277 journal articles retrieved from four UK institutions was analysed using multivariate logistic regression models to provide empirical evidence as to researcher behaviour around data sharing.

The regression models provide insight into how this is affected by the funder, institution and publisher of the research. This study identifies that those publishers and funders who give clear guidance in their policies as to which data should be shared, and where this data should be shared, are most likely to encourage good practice in researchers.

URL : Publishers, funders and institutions: who is supporting UKRI-funded researchers to share data?

DOI : https://doi.org/10.1629/uksg.602

Researchers and their data: A study based on the use of the word data in scholarly articles

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Authors : Frédérique Bordignon, Marion Maisonobe

Data is one of the most used terms in scientific vocabulary. This article focuses on the relationship between data and research by analyzing the contexts of occurrence of the word data in a corpus of 72,471 research articles (1980–2012) from two distinct fields (Social sciences, Physical sciences).

The aim is to shed light on the issues raised by research on data, namely the difficulty of defining what is considered as data, the transformations that data undergo during the research process, and how they gain value for researchers who hold them.

Relying on the distribution of occurrences throughout the texts and over time, it demonstrates that the word data mostly occurs at the beginning and end of research articles. Adjectives and verbs accompanying the noun data turn out to be even more important than data itself in specifying data.

The increase in the use of possessive pronouns at the end of the articles reveals that authors tend to claim ownership of their data at the very end of the research process. Our research demonstrates that even if data-handling operations are increasingly frequent, they are still described with imprecise verbs that do not reflect the complexity of these transformations.

URL : Researchers and their data: A study based on the use of the word data in scholarly articles

DOI : https://doi.org/10.1162/qss_a_00220