Archives des mots-clés : data sharing

Reproducible and reusable research: Are journal data sharing policies meeting the mark?

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Author : Nicole A Vasilevsky, Jessica Minnier, Melissa A Haendel, Robin E Champieux

Background

There is wide agreement in the biomedical research community that research data sharing is a primary ingredient for ensuring that science is more transparent and reproducible.

Publishers could play an important role in facilitating and enforcing data sharing; however, many journals have not yet implemented data sharing policies and the requirements vary widely across journals. This study set out to analyze the pervasiveness and quality of data sharing policies in the biomedical literature.

Methods

The online author’s instructions and editorial policies for 318 biomedical journals were manually reviewed to analyze the journal’s data sharing requirements and characteristics.

The data sharing policies were ranked using a rubric to determine if data sharing was required, recommended, required only for omics data, or not addressed at all. The data sharing method and licensing recommendations were examined, as well any mention of reproducibility or similar concepts.

The data was analyzed for patterns relating to publishing volume, Journal Impact Factor, and the publishing model (open access or subscription) of each journal.

Results

11.9% of journals analyzed explicitly stated that data sharing was required as a condition of publication. 9.1% of journals required data sharing, but did not state that it would affect publication decisions. 23.3% of journals had a statement encouraging authors to share their data but did not require it.

There was no mention of data sharing in 31.8% of journals. Impact factors were significantly higher for journals with the strongest data sharing policies compared to all other data sharing mark categories. Open access journals were not more likely to require data sharing than subscription journals.

Discussion

Our study confirmed earlier investigations which observed that only a minority of biomedical journals require data sharing, and a significant association between higher Impact Factors and journals with a data sharing requirement.

Moreover, while 65.7% of the journals in our study that required data sharing addressed the concept of reproducibility, as with earlier investigations, we found that most data sharing policies did not provide specific guidance on the practices that ensure data is maximally available and reusable.

URL : Reproducible and reusable research: Are journal data sharing policies meeting the mark?

DOI : https://peerj.com/articles/3208/

 

State of the art report on open access publishing of research data in the humanities

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Auteurs/Authors : Stefan Buddenbohm, Nathanael Cretin, Elly Dijk, Bertrand Gai e, Maaike De Jong, Jean-Luc Minel, Blandine Nouvel

Publishing research data as open data is not yet common practice for researchers in the arts and humanities, and lags behind other scientific fields, such as the natural sciences. Moreover, even when humanities researchers publish their data in repositories and archives, these data are often hard to find and use by other researchers in the field.

The goal of Work Package 7 of the the HaS (Humanities at Scale) DARIAH project is to develop an open humanities data platform for the humanities. Work in task 7.1 is a joint effort of Data Archiving and Networked Services (DANS), Centre National de la Recherche Scientifique (CNRS) and the University of Göttingen – State and University Library (UGOE-SUB).

This report gives an overview of the various aspects that are connected to open access publishing of research data in the humanities. After the introduction, where we give definitions of key concepts, we describe the research data life cycle.

We present an overview of the different stakeholders involved and we look into advantages and obstacles for researchers to share research data. Furthermore, a description of the European data repositories is given, followed by certification standards of trusted digital data repositories.

The possibility of data citation is important for sharing open data and is also described in this report. We also discuss the standards and use of metadata in the humanities. Finally, we discuss best practice example of open access research data system in the humanities: the French open research data ecosystem.

With this report we provide information and guidance on open access publishing of humanities research data for researchers. The report is the result of a desk study towards the current state of open access research data and the specific challenges for humanities. It will serve as input for Task 7.2., which will deliver a design and sustainability plan for an open humanities data platform, and for Task 7.3, which will deliver this platform.

URL : https://halshs.archives-ouvertes.fr/halshs-01357208

Sharing data increases citations

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Authors: Thea Marie Drachen, Ole Ellegaard, Asger Væring Larsen, Søren Bertil Fabricius Dorch

This paper presents some indications to the existence of a citation advantage related to sharing data using astrophysics as a case. Through bibliometric analyses we find a citation advantage for astrophysical papers in core journals.

The advantage arises as indexed papers are associated with data by bibliographical links, and consists of papers receiving on average significantly more citations per paper per year, than do papers not associated with links to data.

DOI : https://www.liberquarterly.eu/article/10.18352/lq.10149/

The Journal Article as a Means to Share Data: a Content Analysis of Supplementary Materials from Two Disciplines

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Authors : Jeremy Kenyon, Nancy Sprague, Edward Flathers

INTRODUCTION

The practice of publishing supplementary materials with journal articles is becoming increasingly prevalent across the sciences.

We sought to understand better the content of these materials by investigating the differences between the supplementary materials published by authors in the geosciences and plant sciences.

METHODS

We conducted a random stratified sampling of four articles from each of 30 journals published in 2013. In total, we examined 297 supplementary data files for a range of different factors.

RESULTS

We identified many similarities between the practices of authors in the two fields, including the formats used (Word documents, Excel spreadsheets, PDFs) and the small size of the files.

There were differences identified in the content of the supplementary materials: the geology materials contained more maps and machine-readable data; the plant science materials included much more tabular data and multimedia content.

DISCUSSION

Our results suggest that the data shared through supplementary files in these fields may not lend itself to reuse. Code and related scripts are not often shared, nor is much ‘raw’ data. Instead, the files often contain summary data, modified for human reading and use.

CONCLUSION

Given these and other differences, our results suggest implications for publishers, librarians, and authors, and may require shifts in behavior if effective data sharing is to be realized.

URL : The Journal Article as a Means to Share Data: a Content Analysis of Supplementary Materials from Two Disciplines

DOI : http://doi.org/10.7710/2162-3309.2112

Towards a paradigm for open and free sharing of scientific data on global change science in China

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Authors : Changhui Peng, Xinzhang Song, Hong Jiang, Qiuan Zhu, Huai Chen, Jing M. Chen, Peng Gong, Chang Jie, Wenhua Xiang, Guirui Yu, Xiaolu Zhou

Despite great progress in data sharing that has been made in China in recent decades, cultural, policy, and technological challenges have prevented Chinese researchers from maximizing the availability of their data to the global change science community.

To achieve full and open exchange and sharing of scientific data, Chinese research funding agencies need to recognize that preservation of, and access to, digital data are central to their mission, and must support these tasks accordingly.

The Chinese government also needs to develop better mechanisms, incentives, and rewards, while scientists need to change their behavior and culture to recognize the need to maximize the usefulness of their data to society as well as to other researchers.

The Chinese research community and individual researchers should think globally and act personally to promote a paradigm of open, free, and timely data sharing, and to increase the effectiveness of knowledge development.

URL : Towards a paradigm for open and free sharing of scientific data on global change science in China

DOI : http://dx.doi.org/10.1002/ehs2.1225

Research Data Sharing and Reuse Practices of Academic Faculty Researchers: A Study of the Virginia Tech Data Landscape

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Author : Yi Shen

This paper presents the results of a research data assessment and landscape study in the institutional context of Virginia Tech to determine the data sharing and reuse practices of academic faculty researchers.

Through mapping the level of user engagement in “openness of data,” “openness of methodologies and workflows,” and “reuse of existing data,” this study contributes to the current knowledge in data sharing and open access, and supports the strategic development of institutional data stewardship.

Asking faculty researchers to self-reflect sharing and reuse from both data producers’ and data users’ perspectives, the study reveals a significant gap between the rather limited sharing activities and the highly perceived reuse or repurpose values regarding data, indicating that potential values of data for future research are lost right after the original work is done.

The localized and sporadic data management and documentation practices of researchers also contribute to the obstacles they themselves often encounter when reusing existing data.

URL : Research Data Sharing and Reuse Practices of Academic Faculty Researchers: A Study of the Virginia Tech Data Landscape

Alternative location : http://www.ijdc.net/index.php/ijdc/article/view/10.2.157

Disciplinary differences in opening research data

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The management and widespread sharing of publicly funded research data has gained significant momentum among governments, funders, institutions, journals and data service providers around the world.

However, there is no ‘one-size-fits-all’ approach to open research data across academic disciplines. Different disciplines produce different types of data and have various procedures for analysing, archiving and publishing it.

This briefing paper presents the current state of open research data across academic disciplines. It describes disciplinary characteristics inhibiting a larger take-up of open research data mandates.

Additionally it presents the current strategies and policies established by funders, institutions, journals and data service providers alongside general data policies.

URL : Disciplinary differences in opening research data

Alternative location : http://www.pasteur4oa.eu/resources/209