Archives des mots-clés : data reuse

The data paper: a mechanism to incentivize data publishing in biodiversity science

Statut

Background

Free and open access to primary biodiversity data is essential for informed decision-making to achieve conservation of biodiversity and sustainable development. However, primary biodiversity data are neither easily accessible nor discoverable.

Among several impediments, one is a lack of incentives to data publishers for publishing of their data resources. One such mechanism currently lacking is recognition through conventional scholarly publication of enriched metadata, which should ensure rapid discovery of ‘fit-for-use’ biodiversity data resources.

Discussion

We review the state of the art of data discovery options and the mechanisms in place for incentivizing data publishers efforts towards easy, efficient and enhanced publishing, dissemination, sharing and re-use of biodiversity data.

We propose the establishment of the ‘biodiversity data paper’ as one possible mechanism to offer scholarly recognition for efforts and investment by data publishers in authoring rich metadata and publishing them as citable academic papers.

While detailing the benefits to data publishers, we describe the objectives, work flow and outcomes of the pilot project commissioned by the Global Biodiversity Information Facility in collaboration with scholarly publishers and pioneered by Pensoft Publishers through its journals Zookeys, PhytoKeys, MycoKeys, BioRisk, NeoBiota, Nature Conservation and the forthcoming Biodiversity Data Journal.

We then debate further enhancements of the data paper beyond the pilot project and attempt to forecast the future uptake of data papers as an incentivization mechanism by the stakeholder communities.

Conclusions

We believe that in addition to recognition for those involved in the data publishing enterprise, data papers will also expedite publishing of fit-for-use biodiversity data resources.

However, uptake and establishment of the data paper as a potential mechanism of scholarly recognition requires a high degree of commitment and investment by the cross-sectional stakeholder communities.”

URL : http://www.biomedcentral.com/1471-2105/12/S15/S2

Science as an open enterprise The Science…

Statut

Science as an open enterprise :

“The Science as an open enterprise report highlights the need to grapple with the huge deluge of data created by modern technologies in order to preserve the principle of openness and to exploit data in ways that have the potential to create a second open science revolution.
Exploring massive amounts of data using modern digital technologies has enormous potential for science and its application in public policy and business. The report maps out the changes that are required by scientists, their institutions and those that fund and support science if this potential is to be realised.”

URL : http://royalsociety.org/uploadedFiles/Royal_Society_Content/policy/projects/sape/2012-06-20-SAOE.pdf

The Anatomy of a Data Citation: Discovery, Reuse, and Credit

Statut

INTRODUCTION

Data citation should be a necessary corollary of data publication and reuse. Many researchers are reluctant to share their data, yet they are increasingly encouraged to do just that.

Reward structures must be in place to encourage data publication, and citation is the appropriate tool for scholarly acknowledgment. Data citation also allows for the identification, retrieval, replication, and verification of data underlying published studies.

METHODS

This study examines author behavior and sources of instruction in disciplinary and cultural norms for writing style and citation via a content analysis of journal articles, author instructions, style manuals, and data publishers. Instances of data citation are benchmarked against a Data Citation Adequacy Index.

RESULTS

Roughly half of journals point toward a style manual that addresses data citation, but the majority of journal articles failed to include an adequate citation to data used in secondary analysis studies.

DISCUSSION

Full citation of data is not currently a normative behavior in scholarly writing. Multiplicity of data types and lack of awareness regarding existing standards contribute to the problem.

CONCLUSION

Citations for data must be promoted as an essential component of data publication, sharing, and reuse. Despite confounding factors, librarians and information professionals are well-positioned and should persist in advancing data citation as a normative practice across domains.

Doing so promotes a value proposition for data sharing and secondary research broadly, thereby accelerating the pace of scientific research.”

URL : http://jlsc-pub.org/jlsc/vol1/iss1/6/

A Surfboard for Riding the Wave Towards a…

Posté le par

A Surfboard for Riding the Wave. Towards a four country action programme on research data :

“The Riding the Wave report by the high level expert group on research data called for a collaborative data infrastructure that will enable researchers and other stakeholders from education, society and business to use, re-use and exploit research data to the maximum benefit of science and society. The Knowledge Exchange partners have embraced this vision and commissioned a report that translates Riding the Wave into actions for the four partner countries and beyond.

This paper builds on this report and presents an overview of the present situation with regard to research data in Denmark, Germany, the Netherlands and the United Kingdom and offers broad outlines for a possible action programme for the four countries in realising the envisaged collaborative data infrastructure. An action programme at the level of four countries will require the involvement of all stakeholders from the scientific community.”

URL : http://knowledge-exchange.info/Default.aspx?ID=469

Beyond the Data Deluge A Research Agenda for…

Posté le par

Beyond the Data Deluge: A Research Agenda for Large-Scale Data Sharing and Reuse :

“There is almost universal agreement that scientific data should be shared for use beyond the purposes for which they were initially collected. Access to data enables system-level science, expands the instruments and products of research to new communities, and advances solutions to complex human problems. While demands for data are not new, the vision of open access to data is increasingly ambitious. The aim is to make data accessible and usable to anyone, anytime, anywhere, and for any purpose. Until recently, scholarly investigations related to data sharing and reuse were sparse. They have become more common as technology and instrumentation have advanced, policies that mandate sharing have been implemented, and research has become more interdisciplinary. Each of these factors has contributed to what is commonly referred to as the “data deluge”. Most discussions about increases in the scale of sharing and reuse have focused on growing amounts of data. There are other issues related to open access to data that also concern scale which have not been as widely discussed: broader participation in data sharing and reuse, increases in the number and types of intermediaries, and more digital data products. The purpose of this paper is to develop a research agenda for scientific data sharing and reuse that considers these three areas.”

URL : http://www.ijdc.net/index.php/ijdc/article/view/163

Open Science in Practice: Researcher Perspectives and Participation

Posté le par

We report on an exploratory study consisting of brief case studies in selected disciplines, examining what motivates researchers to work (or want to work) in an open manner with regard to their data, results and protocols, and whether advantages are delivered by working in this way. We review the policy background to open science, and literature on the benefits attributed to open data, considering how these relate to curation and to questions of who participates in science.

The case studies investigate the perceived benefits to researchers, research institutions and funding bodies of utilising open scientific methods, the disincentives and barriers, and the degree to which there is evidence to support these perceptions. Six case study groups were selected in astronomy, bioinformatics, chemistry, epidemiology, language technology and neuroimaging.

The studies identify relevant examples and issues through qualitative analysis of interview transcripts. We provide a typology of degrees of open working across the research lifecycle, and conclude that better support for open working, through guidelines to assist research groups in identifying the value and costs of working more openly, and further research to assess the risks, incentives and shifts in responsibility entailed by opening up the research process are needed.

URL : http://www.ijdc.net/index.php/ijdc/article/view/173