Archives des mots-clés : data sharing

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

Exploring the opportunities and challenges of implementing open research strategies within development institutions

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This research proposal calls for support for a pilot project to conduct open data pilot case studies with eight (8) IDRC grantees to develop and implement open data management and sharing plans.

The results of the case studies will serve to refine guidelines for the implementation of development research funders’ open research data policies. The case studies will examine the scale of legal, ethical and technical challenges that might limit the sharing of data from IDRC projects including issues of:

  • Privacy, personally identifiable information and protection of human subject
  • Protection of intellectual property generated from projects or potential for financial risks for projects or institutions
  • Challenges in the local legal environment, including ownership of data
  • Ethical issues in releasing or sharing of indigenous and community knowledge, and the relationship between project participants and investigators particularly in the context of historical expropriation of resources
  • Local and global issues of capacity and expertise in the management and sharing of data

The duration of the current project will be fifteen (16) months, commencing September 2015 and ending in December 2016. The project will focus on auditing the data being produced by the participating projects, supporting the development of data management and sharing plans, and surfacing and cataloguing issues that arise.

URL : Exploring the opportunities and challenges of implementing open research strategies within development institutions

Alternative location : http://rio.pensoft.net/articles.php?id=8880

 

Open Data in Global Environmental Research: The Belmont Forum’s Open Data Survey

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This paper presents the findings of the Belmont Forum’s survey on Open Data which targeted the global environmental research and data infrastructure community. It highlights users’ perceptions of the term “open data”, expectations of infrastructure functionalities, and barriers and enablers for the sharing of data. A wide range of good practice examples was pointed out by the respondents which demonstrates a substantial uptake of data sharing through e-infrastructures and a further need for enhancement and consolidation. Among all policy responses, funder policies seem to be the most important motivator. This supports the conclusion that stronger mandates will strengthen the case for data sharing.

URL : Open Data in Global Environmental Research: The Belmont Forum’s Open Data Survey

DOI :10.1371/journal.pone.0146695

The data sharing advantage in astrophysics

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We present here evidence for the existence of a citation advantage within astrophysics for papers that link to data. Using simple measures based on publication data from NASA Astrophysics Data System we find a citation advantage for papers with links to data receiving on the average significantly more citations per paper than papers without links to data. Furthermore, using INSPEC and Web of Science databases we investigate whether either papers of an experimental or theoretical nature display different citation behavior.

URL : http://arxiv.org/abs/1511.02512

Data Sharing Among Ecology, Evolution, and Natural Resources Scientists: An Analysis of Selected Publications

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INTRODUCTION

Understanding the differing data management practices among academic disciplines is an important way to inform existing and emerging library research support and services. This paper reports findings from a study of data sharing practices among ecology, evolution, and natural resources scientists at the University of Minnesota. It examines data sharing rates, methods, and disciplinary differences and discusses the characteristics of researchers, data, methods, and aspects of data sharing across this group of disciplines.

METHODS

Data sharing practices are investigated by reviewing the two most recently published research articles (n=155) for each faculty member (n=78) in three departments at a single large research university. All mentions of data sharing in each publication were pursued in order to locate, analyze, and characterize shared data.

RESULTS

Seventy-two of 155 (46%) articles indicated that related research data was publicly shared by some method. The most prevalent method for data sharing was via journal websites, with 91% of data sharing articles using this method. Ecology, evolution, and behavior scientists shared data at the highest rate (70% of their articles), contrasting with fisheries, wildlife, and conservation biologists (18%), and forest resources (16%).

DISCUSSION

Differences between data sharing practices may be attributable to a range of influences: funder, journal, and institutional policies; disciplinary norms; and perceived or real rewards or incentives, as well as contrasting concerns, cost, or other barriers to sharing data.

CONCLUSION

Study results suggest differential approaches to data services outreach based on discipline and research type and support the need for education and influence on both scientist and journal practices.

URL : Data Sharing Among Ecology, Evolution, and Natural Resources Scientists: An Analysis of Selected Publications

DOI : http://doi.org/10.7710/2162-3309.1244