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
Veille dédiée aux Sciences de l'Information et des Bibliothèques // Collecting and Sharing research papers in Library and Information science ISSN 2429-3938
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
Open access to scientific literature and research data: a window of opportunity for latin america :
“The advance that the international open access movement has had in the last decade may seem to suggest that we are witnessing an important change in the model of scientific communication. This paper introduces the fundamental concepts of this movement, and in turn tries to measure the impact it has had in Latin America based on the development of different strategies.”
URL : http://sedici.unlp.edu.ar/handle/10915/23865
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.
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.
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.”
Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results :
“Background : The widespread reluctance to share published research data is often hypothesized to be due to the authors’ fear that reanalysis may expose errors in their work or may produce conclusions that contradict their own. However, these hypotheses have not previously been studied systematically.
Methods and Findings : We related the reluctance to share research data for reanalysis to 1148 statistically significant results reported in 49 papers published in two major psychology journals. We found the reluctance to share data to be associated with weaker evidence (against the null hypothesis of no effect) and a higher prevalence of apparent errors in the reporting of statistical results. The unwillingness to share data was particularly clear when reporting errors had a bearing on statistical significance.
Conclusions : Our findings on the basis of psychological papers suggest that statistical results are particularly hard to verify when reanalysis is more likely to lead to contrasting conclusions. This highlights the importance of establishing mandatory data archiving policies.”
URL : http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0026828
doi:10.1371/journal.pone.0026828
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
This article outlines the work that the University of Oxford is undertaking to implement a coordinated data management infrastructure. The rationale for the approach being taken by Oxford is presented, with particular attention paid to the role of each service division. This is followed by a consideration of the relative advantages and disadvantages of institutional data repositories, as opposed to national or international data centres. The article then focuses on two ongoing JISC-funded projects, ‘Embedding Institutional Data Curation Services in Research’ (Eidcsr) and ‘Supporting Data Management Infrastructure for the Humanities’ (Sudamih).
Both projects are intra-institutional collaborations and involve working with researchers to develop particular aspects of infrastructure, including: University policy, systems for the preservation and documentation of research data, training and support, software tools for the visualisation of large images, and creating and sharing databases via the Web (Database as a Service).