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10.1371/journal.pbio.2001414 http://scihub22266oqcxt.onion/10.1371/journal.pbio.2001414 C5490878!5490878 !28662064     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28662064 &cmd=llinks): Failed to open stream: HTTP request failed! 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Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data |pdf=|usr=}}{{28662064 }} gab.com Text Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data JO: PLoS Biol http://www.kidney.de/pget.php?&tw=1&pmid=28662064 #FOAvip In many disciplines, data are highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline 10 lessons we have learned about the identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that identifier practitioners (database providers) should take in the design, provision and reuse of identifiers. We also outline the important considerations for those referencing identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage common identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based identifiers in the life sciences; however, the principles are broadly relevant to other disciplines. Twit Text FOAVip Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data ????PLoS Biol http://www.kidney.de/pget.php?&tw=1&pmid=28662064 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28662064 #FOAvip English Wikipedia <ref>{{Cite pmid|28662064 }}</ref> Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data #MMPMID28662064 McMurry JA ; Juty N ; Blomberg N ; Burdett T ; Conlin T ; Conte N ; Courtot M ; Deck J ; Dumontier M ; Fellows DK ; Gonzalez-Beltran A ; Gormanns P ; Grethe J ; Hastings J ; Hériché JK ; Hermjakob H ; Ison JC ; Jimenez RC ; Jupp S ; Kunze J ; Laibe C ; Le Novère N ; Malone J ; Martin MJ ; McEntyre JR ; Morris C ; Muilu J ; Müller W ; Rocca-Serra P ; Sansone SA ; Sariyar M ; Snoep JL ; Soiland-Reyes S ; Stanford NJ ; Swainston N ; Washington N ; Williams AR ; Wimalaratne SM ; Winfree LM ; Wolstencroft K ; Goble C ; Mungall CJ ; Haendel MA ; Parkinson H PLoS Biol 2017[Jun]; 15 (6 ): e2001414 PMID28662064 show ga In many disciplines, data are highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline 10 lessons we have learned about the identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that identifier practitioners (database providers) should take in the design, provision and reuse of identifiers. We also outline the important considerations for those referencing identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage common identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based identifiers in the life sciences; however, the principles are broadly relevant to other disciplines. |*Software [MESH] |*Software Design [MESH] |Biological Science Disciplines/*methods/statistics & numerical data/trends [MESH] |Computational Biology/*methods/trends [MESH] |Data Mining/*methods/statistics & numerical data/trends [MESH] |Databases, Factual/statistics & numerical data/trends [MESH] |Forecasting [MESH] |Humans [MESH]Identifiers for the 21st century: How to design, provision, and reuse (epmc).pdf DeepDyve Pubget Overpricing