Archives des mots-clés : data sharing

Toward Easy Deposit: Lowering the Barriers of Green Open Access with Data Integration and Automation

Posté le par

Author : Hui Zhang

This article describes the design and development of an interoperable application that supports green open access with long-term sustainability and improved user experience of article deposit.

The lack of library resources and the unfriendly repository user interface are two significant barriers that hinder green open access.

Tasked to implement the open access mandate, librarians at an American research university developed a comprehensive system called Easy Deposit 2 to automate the support workflow of green open access.

Easy Deposit 2 is a web application that is able to harvest new publications, to source manuscripts on behalf of the library, and to facilitate self-archiving to a university’s institutional repository.

The article deposit rate increased from 7.40% to 25.60% with the launch of Easy Deposit 2. The results show that a computer system can implement routine tasks to support green open access with success.

Recent developments in digital repository provide new opportunities for innovation, such as Easy Deposit 2, in supporting open access.

Academic librarians are vital in promoting “openness” in scholarly communication, such as transparency and diversity in the sharing of publication data.

URL : Toward Easy Deposit: Lowering the Barriers of Green Open Access with Data Integration and Automation

DOI : https://doi.org/10.3390/publications8020028

Data Sharing in the Context of Health-Related Citizen Science

Posté le par

Authors : Mary A. Majumder, Amy L. McGuire

As citizen science expands, questions arise regarding the applicability of norms and policies created in the context of conventional science. This article focuses on data sharing in the conduct of health-related citizen science, asking whether citizen scientists have obligations to share data and publish findings on par with the obligations of professional scientists.

We conclude that there are good reasons for supporting citizen scientists in sharing data and publishing findings, and we applaud recent efforts to facilitate data sharing.

At the same time, we believe it is problematic to treat data sharing and publication as ethical requirements for citizen scientists, especially where there is the potential for burden and harm without compensating benefit.

DOI : https://doi.org/10.1177/1073110520917044

SPI-Hub™: a gateway to scholarly publishing information

Posté le par

Authors : Taneya Y. Koonce, Mallory N. Blasingame, Jerry Zhao, Annette M. Williams, Jing Su, Spencer J. DesAutels, Dario A. Giuse, John D. Clark, Zachary E. Fox, Nunzia Bettinsoli Giuse

Background

Advances in the health sciences rely on sharing research and data through publication. As information professionals are often asked to contribute their knowledge to assist clinicians and researchers in selecting journals for publication, the authors recognized an opportunity to build a decision support tool, SPI-Hub: Scholarly Publishing Information Hub™, to capture the team’s collective publishing industry knowledge, while carefully retaining the quality of service.

Case Presentation

SPI-Hub’s decision support functionality relies on a data framework that describes journal publication policies and practices through a newly designed metadata structure, the Knowledge Management Journal Record™.

Metadata fields are populated through a semi-automated process that uses custom programming to access content from multiple sources. Each record includes 25 metadata fields representing best publishing practices. Currently, the database includes more than 24,000 health sciences journal records.

To correctly capture the resources needed for both completion and future maintenance of the project, the team conducted an internal study to assess time requirements for completing records through different stages of automation.

Conclusions

The journal decision support tool, SPI-Hub, provides an opportunity to assess publication practices by compiling data from a variety of sources in a single location.

Automated and semi-automated approaches have effectively reduced the time needed for data collection.

Through a comprehensive knowledge management framework and the incorporation of multiple quality points specific to each journal, SPI-Hub provides prospective users with both recommendations for publication and holistic assessment of the trustworthiness of journals in which to publish research and acquire trusted knowledge.

URL : SPI-Hub™: a gateway to scholarly publishing information

Original location : http://jmla.pitt.edu/ojs/jmla/article/view/815

Did awarding badges increase data sharing in BMJ Open? A randomized controlled trial

Posté le par

Authors : Anisa Rowhani-Farid, Adrian Aldcroft, Adrian G. Barnett

Sharing data and code are important components of reproducible research. Data sharing in research is widely discussed in the literature; however, there are no well-established evidence-based incentives that reward data sharing, nor randomized studies that demonstrate the effectiveness of data sharing policies at increasing data sharing.

A simple incentive, such as an Open Data Badge, might provide the change needed to increase data sharing in health and medical research. This study was a parallel group randomized controlled trial (protocol registration: doi:10.17605/OSF.IO/PXWZQ) with two groups, control and intervention, with 80 research articles published in BMJ Open per group, with a total of 160 research articles.

The intervention group received an email offer for an Open Data Badge if they shared their data along with their final publication and the control group received an email with no offer of a badge if they shared their data with their final publication.

The primary outcome was the data sharing rate. Badges did not noticeably motivate researchers who published in BMJ Open to share their data; the odds of awarding badges were nearly equal in the intervention and control groups (odds ratio = 0.9, 95% CI [0.1, 9.0]). Data sharing rates were low in both groups, with just two datasets shared in each of the intervention and control groups.

The global movement towards open science has made significant gains with the development of numerous data sharing policies and tools.

What remains to be established is an effective incentive that motivates researchers to take up such tools to share their data.

URL : Did awarding badges increase data sharing in BMJ Open? A randomized controlled trial

DOI : https://doi.org/10.1098/rsos.191818

Research data sharing during the Zika virus public health emergency

Posté le par

Authors : Vanessa de Arruda Jorge, Sarita Albagli

Introduction

In a public health emergency, sharing of research data is acknowledged as essential to manage treatment and control of the disease. The objective of this study was to examine how researchers reacted during the Zika virus emergency in Brazil.

Method

A literature review examined both unpublished reports and the published literature. Interviews were conducted with eleven researchers (from a sample of sixteen) in the Renezika network. Questions concerned sources of data used for research on the Zika virus, where this data was obtained, and what requirements by funding agencies influenced how data generated was shared – and how open the degree of sharing was.

Analysis

A content analysis matrix was developed based on the results of the interviews. The data were organised acording to categories, subcategories, records units and frequency of records units.

Results

Researchers stressed the importance of access to issue samples as well as pure research data. Collaboration – and publication – increased but also depended on trust in existing networks. Researchers were aware that many agencies and publishers required the deposit of research data in repositories – and several options existed for Zika research.

Conclusions

The findings show that research data were shared, but not necessarily as open data. Trust was necessary between researchers, and researchers in developing countries needed to be assured about their rights and ownership of data, and publications using that data.

URL : http://informationr.net/ir/25-1/paper846.html

A Realistic Guide to Making Data Available Alongside Code to Improve Reproducibility

Posté le par

Authors : Nicholas J Tierney, Karthik Ram

Data makes science possible. Sharing data improves visibility, and makes the research process transparent. This increases trust in the work, and allows for independent reproduction of results.

However, a large proportion of data from published research is often only available to the original authors. Despite the obvious benefits of sharing data, and scientists’ advocating for the importance of sharing data, most advice on sharing data discusses its broader benefits, rather than the practical considerations of sharing.

This paper provides practical, actionable advice on how to actually share data alongside research. The key message is sharing data falls on a continuum, and entering it should come with minimal barriers.

URL : https://arxiv.org/abs/2002.11626

A study of the impact of data sharing on article citations using journal policies as a natural experiment

Posté le par

Authors : Garret Christensen, Allan Dafoe, Edward Miguel, Don A. Moore, Andrew K. Rose

This study estimates the effect of data sharing on the citations of academic articles, using journal policies as a natural experiment. We begin by examining 17 high-impact journals that have adopted the requirement that data from published articles be publicly posted.

We match these 17 journals to 13 journals without policy changes and find that empirical articles published just before their change in editorial policy have citation rates with no statistically significant difference from those published shortly after the shift.

We then ask whether this null result stems from poor compliance with data sharing policies, and use the data sharing policy changes as instrumental variables to examine more closely two leading journals in economics and political science with relatively strong enforcement of new data policies.

We find that articles that make their data available receive 97 additional citations (estimate standard error of 34).

We conclude that: a) authors who share data may be rewarded eventually with additional scholarly citations, and b) data-posting policies alone do not increase the impact of articles published in a journal unless those policies are enforced.

URL : A study of the impact of data sharing on article citations using journal policies as a natural experiment

DOI : https://doi.org/10.1371/journal.pone.0225883