InfoDoc MicroVeille

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

• 

  Hans Dillaerts le 3 May 2013 à 18 h 05 min Permalien
  Mots-clefs: academic libraries ( 26 ), eScience, Libraries ( 15 ), research data   

  The Role of the Library in the Research Enterprise :

  « Libraries have provided services to researchers for many years. Changes in technology and new publishing models provide opportunities for libraries to be more involved in the research enterprise. Within this article, the author reviews traditional library services, briefly describes the eScience and publishing landscape as it relates to libraries, and explores possible library programs in support of research. Many of the new opportunities require new partnerships, both within the institution and externally. »

  URL : http://dx.doi.org/10.7191/jeslib.2013.1043

  

   
• 

  Hans Dillaerts le 23 April 2013 à 18 h 15 min Permalien
  Mots-clefs: data reuse ( 10 ), data sharing ( 14 ), Knowledge management ( 5 ), research data   

  Common Errors in Ecological Data Sharing :

  « Objectives: (1) to identify common errors in data organization and metadata completeness that would preclude a “reader” from being able to interpret and re-use the data for a new purpose; and (2) to develop a set of best practices derived from these common errors that would guide researchers in creating more usable data products that could be readily shared, interpreted, and used.
  Methods: We used directed qualitative content analysis to assess and categorize data and metadata errors identified by peer reviewers of data papers published in the Ecological Society of America’s (ESA) Ecological Archives. Descriptive statistics provided the relative frequency of the errors identified during the peer review process.
  Results: There were seven overarching error categories: Collection & Organization, Assure, Description, Preserve, Discover, Integrate, and Analyze/Visualize. These categories represent errors researchers regularly make at each stage of the Data Life Cycle. Collection & Organization and Description errors were some of the most common errors, both of which occurred in over 90% of the papers.
  Conclusions: Publishing data for sharing and reuse is error prone, and each stage of the Data Life Cycle presents opportunities for mistakes. The most common errors occurred when the researcher did not provide adequate metadata to enable others to interpret and potentially re-use the data. Fortunately, there are ways to minimize these mistakes through carefully recording all details about study context, data collection, QA/ QC, and analytical procedures from the beginning of a research project and then including this descriptive information in the metadata. »

  URL : http://escholarship.umassmed.edu/jeslib/vol2/iss2/1/

  

   
• 

  Hans Dillaerts le 5 April 2013 à 21 h 24 min Permalien
  Mots-clefs: data reuse ( 10 ), knowledge sharing ( 17 ), research data, research data management ( 5 ), scientific data ( 28 )   

  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
  

  

   
• 

  Hans Dillaerts le 19 November 2012 à 22 h 10 min Permalien
  Mots-clefs: open access ( 550 ), open access policies ( 45 ), research data, scientific communication ( 185 )   

  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

  

   
• 

  Hans Dillaerts le 7 July 2012 à 13 h 45 min Permalien
  Mots-clefs: data discovery ( 2 ), data reuse ( 10 ), research data, scientific data ( 28 )   

  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

  

   
• 

  Hans Dillaerts le 16 February 2012 à 18 h 11 min Permalien
  Mots-clefs: research data, Scholarly Publishing ( 74 )   

  Scalable Infrastructure for coupling Research Data to Publications in the Life Sciences :
  

  

   
• 

  Hans Dillaerts le 1 January 2012 à 12 h 15 min Permalien
  Mots-clefs: data sharing ( 14 ), knowledge sharing ( 17 ), open data ( 53 ), research data, scientific data ( 28 )   

  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

  

  Willingness to Share Research Data Is Related to… « InfoDoc ... | research data management | Scoop.it is discussing. Afficher/masquer les commentaires

   
• 

  Hans Dillaerts le 15 November 2011 à 21 h 10 min Permalien
  Mots-clefs: data reuse ( 10 ), open data ( 53 ), research data, state of the art ( 28 )   

  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

  

   
• 

  Hans Dillaerts le 7 October 2011 à 19 h 02 min Permalien
  Mots-clefs: data ( 2 ), Data Management Infrastructure ( 4 ), open data ( 53 ), research data, scientific data ( 28 )   

  An Institutional Approach to Developing Research Data Management Infrastructure :

  « 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). »

  URL : http://www.ijdc.net/index.php/ijdc/article/view/198

  

   
• 

  Hans Dillaerts le 13 September 2011 à 19 h 01 min Permalien
  Mots-clefs: copyright ( 46 ), open data ( 53 ), research data   

  Report on the Legal Status of Research Data in the four partner countries :

  « This report compares the legal status of research data in the four KE partner countries. The report also addresses where European copyright and database law poses flaws and obstacles to the access to research data and singles out pre-conditions for openly available data. »

  URL : http://www.knowledge-exchange.info/Default.aspx?ID=461