Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1186/s40537-015-0016-1 http://scihub22266oqcxt.onion/10.1186/s40537-015-0016-1 C4768816!4768816 !26929900     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26929900 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       J+Big+Data 2015 ; 2 (?): ? Nephropedia Template TP {{tp|p=26929900 |t=2015. Sharing big biomedical data |pdf=|usr=}}{{26929900 }} gab.com Text Sharing big biomedical data JO: J Big Data http://www.kidney.de/pget.php?&tw=1&pmid=26929900 #FOAvip BACKGROUND: The promise of Big Biomedical Data may be offset by the enormous challenges in handling, analyzing, and sharing it. In this paper, we provide a framework for developing practical and reasonable data sharing policies that incorporate the sociological, financial, technical and scientific requirements of a sustainable Big Data dependent scientific community. FINDINGS: Many biomedical and healthcare studies may be significantly impacted by using large, heterogeneous and incongruent datasets; however there are significant technical, social, regulatory, and institutional barriers that need to be overcome to ensure the power of Big Data overcomes these detrimental factors. CONCLUSIONS: Pragmatic policies that demand extensive sharing of data, promotion of data fusion, provenance, interoperability and balance security and protection of personal information are critical for the long term impact of translational Big Data analytics. Twit Text FOAVip Sharing big biomedical data ????J Big Data http://www.kidney.de/pget.php?&tw=1&pmid=26929900 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26929900 #FOAvip English Wikipedia <ref>{{Cite pmid|26929900 }}</ref> Sharing big biomedical data #MMPMID26929900 Toga AW ; Dinov ID J Big Data 2015[]; 2 (?): ? PMID26929900 show ga BACKGROUND: The promise of Big Biomedical Data may be offset by the enormous challenges in handling, analyzing, and sharing it. In this paper, we provide a framework for developing practical and reasonable data sharing policies that incorporate the sociological, financial, technical and scientific requirements of a sustainable Big Data dependent scientific community. FINDINGS: Many biomedical and healthcare studies may be significantly impacted by using large, heterogeneous and incongruent datasets; however there are significant technical, social, regulatory, and institutional barriers that need to be overcome to ensure the power of Big Data overcomes these detrimental factors. CONCLUSIONS: Pragmatic policies that demand extensive sharing of data, promotion of data fusion, provenance, interoperability and balance security and protection of personal information are critical for the long term impact of translational Big Data analytics. ?Sharing big biomedical data (epmc).pdf DeepDyve Pubget Overpricing