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BMDJ 1,1 2014 : Open Access to Experimental and Clinical Data

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Link: http://datajournals.eu/news/cfp-open-access-experimental-and-clinical-data-0
 
When N/A
Where N/A
Submission Deadline Aug 20, 2014
Notification Due Sep 20, 2014
Final Version Due Sep 30, 2014
Categories    bioinformatics   medicine   life sciences   health informatics
 

Call For Papers

The pilot issue of the Biomedical Data Journal was published in January 2015 and is available at http://biomed-data.eu/issue/open-access-experimental-and-clinical-data


Editor: Prof. Constantinos Pantos, National and Kapodistrian University of Athens (NKUA)
Submit to: managing.editor@biomed-data.eu

The sharing of experimental and clinical data holds the promise on increasing efficiency and effectiveness of research by reducing redundancies and speeding up the knowledge generation process.

The Biomedical Data Journal (BMDJ) facilitates the sharing and use of such data by validating its quality and usability, acknowledging the scientific contribution of researchers and laboratory personnel that generated the data, widely disseminating data papers and respective datasets and assuring access in long-term.

The pilot issue of the journal will focus on the policies for open access to research data and respective normative, organizational, and technological challenges, thus setting up a solid base for the follow-up issues presenting biomedical datasets that can serve as a source for simulation and computational modelling of diseases and biological processes.

To address these issues comprehensively, the BMDJ Editorial Board invites original contributions that critically address:

- policy developments relevant to the access to experimental and clinical data
- legal issues in publishing biomedical data
- standards for structuring and presenting biomedical data
- quality assurance of biomedical data and data papers
- trends and requirements to structuring and presenting data in specific biomedical fields
- experience in using open data access for the purposes of computational modelling
- advanced technologies facilitating the presentation, validation, use, and re-use of datasets
- measures of effectiveness and performance in providing open access to research data.

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