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10.1089/bio.2017.0110 http://scihub22266oqcxt.onion/10.1089/bio.2017.0110 C5906729!5906729!29359962     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=29359962&cmd=llinks): Failed to open stream: HTTP request failed! 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Enhancing Reuse of Data and Biological Material in Medical Research: From FAIR to FAIR-Health |pdf=|usr=}}{{29359962}} gab.com Text Enhancing Reuse of Data and Biological Material in Medical Research: From FAIR to FAIR-Health JO: Biopreserv Biobank http://www.kidney.de/pget.php?&tw=1&pmid=29359962 #FOAvip The known challenge of underutilization of data and biological material from biorepositories as potential resources for medical research has been the focus of discussion for over a decade. Recently developed guidelines for improved data availability and reusability?entitled FAIR Principles (Findability, Accessibility, Interoperability, and Reusability)?are likely to address only parts of the problem. In this article, we argue that biological material and data should be viewed as a unified resource. This approach would facilitate access to complete provenance information, which is a prerequisite for reproducibility and meaningful integration of the data. A unified view also allows for optimization of long-term storage strategies, as demonstrated in the case of biobanks. We propose an extension of the FAIR Principles to include the following additional components: (1) quality aspects related to research reproducibility and meaningful reuse of the data, (2) incentives to stimulate effective enrichment of data sets and biological material collections and its reuse on all levels, and (3) privacy-respecting approaches for working with the human material and data. These FAIR-Health principles should then be applied to both the biological material and data. We also propose the development of common guidelines for cloud architectures, due to the unprecedented growth of volume and breadth of medical data generation, as well as the associated need to process the data efficiently. Twit Text FOAVip Enhancing Reuse of Data and Biological Material in Medical Research: From FAIR to FAIR-Health ????Biopreserv Biobank http://www.kidney.de/pget.php?&tw=1&pmid=29359962 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29359962 #FOAvip English Wikipedia <ref>{{Cite pmid|29359962}}</ref> Enhancing Reuse of Data and Biological Material in Medical Research: From FAIR to FAIR-Health #MMPMID29359962 Holub P; Kohlmayer F; Prasser F; Mayrhofer MT; Schlünder I; Martin GM; Casati S; Koumakis L; Wutte A; Kozera ?; Strapagiel D; Anton G; Zanetti G; Sezerman OU; Mendy M; Valík D; Lavitrano M; Dagher G; Zatloukal K; van Ommen GB; Litton JE Biopreserv Biobank 2018[Apr]; 16 (2): 97-105 PMID29359962show ga The known challenge of underutilization of data and biological material from biorepositories as potential resources for medical research has been the focus of discussion for over a decade. Recently developed guidelines for improved data availability and reusability?entitled FAIR Principles (Findability, Accessibility, Interoperability, and Reusability)?are likely to address only parts of the problem. In this article, we argue that biological material and data should be viewed as a unified resource. This approach would facilitate access to complete provenance information, which is a prerequisite for reproducibility and meaningful integration of the data. A unified view also allows for optimization of long-term storage strategies, as demonstrated in the case of biobanks. We propose an extension of the FAIR Principles to include the following additional components: (1) quality aspects related to research reproducibility and meaningful reuse of the data, (2) incentives to stimulate effective enrichment of data sets and biological material collections and its reuse on all levels, and (3) privacy-respecting approaches for working with the human material and data. These FAIR-Health principles should then be applied to both the biological material and data. We also propose the development of common guidelines for cloud architectures, due to the unprecedented growth of volume and breadth of medical data generation, as well as the associated need to process the data efficiently. äEnhancing Reuse of Data and Biological Material in Medical Research: F(epmc).pdf DeepDyve Pubget Overpricing