Mots-clefs: scientific data Afficher/masquer les discussions | Raccourcis clavier

  • Hans Dillaerts le 28 April 2013 à 18 h 19 min Permalien
    Mots-clefs: , , scientific data,   

    Data Sharing by Scientists: Practices and Perceptions :

    « Background : Scientific research in the 21st century is more data intensive and collaborative than in the past. It is important to study the data practices of researchers – data accessibility, discovery, re-use, preservation and, particularly, data sharing. Data sharing is a valuable part of the scientific method allowing for verification of results and extending research from prior results.
    Methodology/Principal Findings : A total of 1329 scientists participated in this survey exploring current data sharing practices and perceptions of the barriers and enablers of data sharing. Scientists do not make their data electronically available to others for various reasons, including insufficient time and lack of funding. Most respondents are satisfied with their current processes for the initial and short-term parts of the data or research lifecycle (collecting their research data; searching for, describing or cataloging, analyzing, and short-term storage of their data) but are not satisfied with long-term data preservation. Many organizations do not provide support to their researchers for data management both in the short- and long-term. If certain conditions are met (such as formal citation and sharing reprints) respondents agree they are willing to share their data. There are also significant differences and approaches in data management practices based on primary funding agency, subject discipline, age, work focus, and world region.
    Conclusions/Significance : Barriers to effective data sharing and preservation are deeply rooted in the practices and culture of the research process as well as the researchers themselves. New mandates for data management plans from NSF and other federal agencies and world-wide attention to the need to share and preserve data could lead to changes. Large scale programs, such as the NSF-sponsored DataNET (including projects like DataONE) will both bring attention and resources to the issue and make it easier for scientists to apply sound data management principles. »

    URL : http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0021101

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  • Hans Dillaerts le 5 April 2013 à 21 h 24 min Permalien
    Mots-clefs: , , , , scientific data   

    Research Data Symposium :
    Research Data Symposium Panel 1: Plan and Collect

    Research Data Symposium Panel 2: Assure, Describe, and Preserve

    Research Data Symposium Panel 3: Integrate and Analyze

    Research Data Symposium Panel 4: Discover, Share, and Impact

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  • Hans Dillaerts le 18 January 2013 à 21 h 59 min Permalien
    Mots-clefs: , , , scientific data   

    What should be the data sharing policy of cognitive science? :

    « There is a growing chorus of voices in the scientific community calling for greater openness in the sharing of raw data that leads to a publication. In this commentary, we discuss the merits of sharing, common concerns that are raised, and practical issues that arise in developing a sharing policy. We suggest that the cognitive science community discuss the topic and establish a data sharing policy. »

    URL : http://lpl.psy.ohio-state.edu/documents/PT.pdf

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  • Hans Dillaerts le 18 December 2012 à 12 h 12 min Permalien
    Mots-clefs: , , scientific data   

    Peer-Reviewed Open Research Data: Results of a Pilot :

    « Peer review of publications is at the core of science and primarily seen as instrument for ensuring research quality. However, it is less common to independently value the quality of the underlying data as well. In the light of the ‘data deluge’ it makes sense to extend peer review to the data itself and this way evaluate the degree to which the data are fit for re-use. This paper describes a pilot study at EASY – the electronic archive for (open) research data at our institution. In EASY, researchers can archive their data and add metadata themselves. Devoted to open access and data sharing, at the archive we are interested in further enriching these metadata with peer reviews.

    As a pilot, we established a workflow where researchers who have downloaded data sets from the archive were asked to review the downloaded data set. This paper describes the details of the pilot including the findings, both quantitative and qualitative. Finally, we discuss issues that need to be solved when such a pilot is turned into a structural peer review functionality for the archiving system. »

    URL : http://www.ijdc.net/index.php/ijdc/article/view/231

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  • Hans Dillaerts le 27 November 2012 à 12 h 23 min Permalien
    Mots-clefs: , scientific data   

    Making Data a First Class Scientific Output: Data Citation and Publication by NERC’s Environmental Data Centres :

    « The NERC Science Information Strategy Data Citation and Publication project aims to develop and formalise a method for formally citing and publishing the datasets stored in its environmental data centres. It is believed that this will act as an incentive for scientists, who often invest a great deal of effort in creating datasets, to submit their data to a suitable data repository where it can properly be archived and curated. Data citation and publication will also provide a mechanism for data producers to receive credit for their work, thereby encouraging them to share their data more freely. »

    URL : http://www.ijdc.net/index.php/ijdc/article/view/218

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  • Hans Dillaerts le 27 November 2012 à 12 h 19 min Permalien
    Mots-clefs: , , scientific data   

    Developments in Research Funder Data Policy :

    « This paper reviews developments in funders’ data management and sharing policies, and explores the extent to which they have affected practice. The Digital Curation Centre has been monitoring UK research funders’ data policies since 2008. There have been significant developments in subsequent years, most notably the joint Research Councils UK’s Common Principles on Data Policy and the Engineering and Physical Sciences Research Council’s Policy Framework on Research Data. This paper charts these changes and highlights shifting emphasises in the policies. Institutional data policies and infrastructure are increasingly being developed as a result of these changes. While action is clearly being taken, questions remain about whether the changes are affecting practice on the ground. »

    URL : http://www.ijdc.net/index.php/ijdc/article/view/219

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  • Hans Dillaerts le 27 November 2012 à 12 h 14 min Permalien
    Mots-clefs: , , , , scientific data   

    Building an Open Data Repository for a Specialized Research Community: Process, Challenges and Lessons :

    « In 2009, the Institution for Social and Policy Studies (ISPS) at Yale University began building an open access digital collection of social science experimental data, metadata, and associated files produced by ISPS researchers. The digital repository was created to support the replication of research findings and to enable further data analysis and instruction. Content is submitted to a rigorous process of quality assessment and normalization, including transformation of statistical code into R, an open source statistical software. Other requirements included: (a) that the repository be integrated with the current database of publications and projects publicly available on the ISPS website; (b) that it offered open access to datasets, documentation, and statistical software program files; (c) that it utilized persistent linking services and redundant storage provided within the Yale Digital Commons infrastructure; and (d) that it operated in accordance with the prevailing standards of the digital preservation community. In partnership with Yale’s Office of Digital Assets and Infrastructure (ODAI), the ISPS Data Archive was launched in the fall of 2010. We describe the process of creating the repository, discuss prospects for similar projects in the future, and explain how this specialized repository fits into the larger digital landscape at Yale. »

    URL : http://www.ijdc.net/index.php/ijdc/article/view/222

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  • Hans Dillaerts le 11 September 2012 à 22 h 45 min Permalien
    Mots-clefs: , , , scientific data   

    Open by default: a proposed copyright license and waiver agreement for open access research and data in peer-reviewed journals :

    « Copyright and licensing of scientific data, internationally, are complex and present legal barriers to data sharing, integration and reuse, and therefore restrict the most efficient transfer and discovery of scientific knowledge. Much data are included within scientific journal articles, their published tables, additional files (supplementary material) and reference lists. However, these data are usually published under licenses which are not appropriate for data. Creative Commons CC0 is an appropriate and increasingly accepted method for dedicating data to the public domain, to enable data reuse with the minimum of restrictions. BioMed Central is committed to working towards implementation of open data-compliant licensing in its publications. Here we detail a protocol for implementing a combined Creative Commons Attribution license (for copyrightable material) and Creative Commons CC0 waiver (for data) agreement for content published in peer-reviewed open access journals. We explain the differences between legal requirements for attribution in copyright, and cultural requirements in scholarship for giving individuals credit for their work through citation. We argue that publishing data in scientific journals under CC0 will have numerous benefits for individuals and society, and yet will have minimal implications for authors and minimal impact on current publishing and research workflows. We provide practical examples and definitions of data types, such as XML and tabular data, and specific secondary use cases for published data, including text mining, reproducible research, and open bibliography. We believe this proposed change to the current copyright and licensing structure in science publishing will help clarify what users — people and machines — of the published literature can do, legally, with journal articles and make research using the published literature more efficient. We further believe this model could be adopted across multiple publishers, and invite comment on this article from all stakeholders in scientific research. »

    URL : http://www.biomedcentral.com/1756-0500/5/494/abstract

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  • Hans Dillaerts le 7 July 2012 à 13 h 45 min Permalien
    Mots-clefs: , , , scientific data   

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

    « 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

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  • Hans Dillaerts le 21 June 2012 à 19 h 11 min Permalien
    Mots-clefs: , , , scientific data   

    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

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