A vision for collaborative training infrastructure for bioinformatics.
Identifieur interne : 000000 ( PubMed/Corpus ); suivant : 000001A vision for collaborative training infrastructure for bioinformatics.
Auteurs : Jason J. Williams ; Tracy K. TealSource :
- Annals of the New York Academy of Sciences [ 1749-6632 ] ; 2016.
Abstract
In biology, a missing link connecting data generation and data-driven discovery is the training that prepares researchers to effectively manage and analyze data. National and international cyberinfrastructure along with evolving private sector resources place biologists and students within reach of the tools needed for data-intensive biology, but training is still required to make effective use of them. In this concept paper, we review a number of opportunities and challenges that can inform the creation of a national bioinformatics training infrastructure capable of servicing the large number of emerging and existing life scientists. While college curricula are slower to adapt, grassroots startup-spirited organizations, such as Software and Data Carpentry, have made impressive inroads in training on the best practices of software use, development, and data analysis. Given the transformative potential of biology and medicine as full-fledged data sciences, more support is needed to organize, amplify, and assess these efforts and their impacts.
DOI: 10.1111/nyas.13207
PubMed: 27603332
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Teal</name><affiliation><nlm:affiliation>Data Carpentry, Davis, California.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="doi">10.1111/nyas.13207</idno><idno type="RBID">pubmed:27603332</idno><idno type="pmid">27603332</idno><idno type="wicri:Area/PubMed/Corpus">000000</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A vision for collaborative training infrastructure for bioinformatics.</title><author><name sortKey="Williams, Jason J" sort="Williams, Jason J" uniqKey="Williams J" first="Jason J" last="Williams">Jason J. Williams</name><affiliation><nlm:affiliation>DNA Learning Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York. williams@cshl.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Teal, Tracy K" sort="Teal, Tracy K" uniqKey="Teal T" first="Tracy K" last="Teal">Tracy K. Teal</name><affiliation><nlm:affiliation>Data Carpentry, Davis, California.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Annals of the New York Academy of Sciences</title><idno type="eISSN">1749-6632</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In biology, a missing link connecting data generation and data-driven discovery is the training that prepares researchers to effectively manage and analyze data. National and international cyberinfrastructure along with evolving private sector resources place biologists and students within reach of the tools needed for data-intensive biology, but training is still required to make effective use of them. In this concept paper, we review a number of opportunities and challenges that can inform the creation of a national bioinformatics training infrastructure capable of servicing the large number of emerging and existing life scientists. While college curricula are slower to adapt, grassroots startup-spirited organizations, such as Software and Data Carpentry, have made impressive inroads in training on the best practices of software use, development, and data analysis. Given the transformative potential of biology and medicine as full-fledged data sciences, more support is needed to organize, amplify, and assess these efforts and their impacts.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">27603332</PMID><DateCreated><Year>2016</Year><Month>9</Month><Day>7</Day></DateCreated><DateRevised><Year>2016</Year><Month>9</Month><Day>7</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1749-6632</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2016</Year><Month>Sep</Month><Day>7</Day></PubDate></JournalIssue><Title>Annals of the New York Academy of Sciences</Title><ISOAbbreviation>Ann. N. Y. Acad. Sci.</ISOAbbreviation></Journal><ArticleTitle>A vision for collaborative training infrastructure for bioinformatics.</ArticleTitle><Pagination><MedlinePgn></MedlinePgn></Pagination><ELocationID EIdType="doi">10.1111/nyas.13207</ELocationID><Abstract><AbstractText NlmCategory="UNASSIGNED">In biology, a missing link connecting data generation and data-driven discovery is the training that prepares researchers to effectively manage and analyze data. National and international cyberinfrastructure along with evolving private sector resources place biologists and students within reach of the tools needed for data-intensive biology, but training is still required to make effective use of them. In this concept paper, we review a number of opportunities and challenges that can inform the creation of a national bioinformatics training infrastructure capable of servicing the large number of emerging and existing life scientists. While college curricula are slower to adapt, grassroots startup-spirited organizations, such as Software and Data Carpentry, have made impressive inroads in training on the best practices of software use, development, and data analysis. Given the transformative potential of biology and medicine as full-fledged data sciences, more support is needed to organize, amplify, and assess these efforts and their impacts.</AbstractText><CopyrightInformation>© 2016 New York Academy of Sciences.</CopyrightInformation></Abstract><AuthorList><Author><LastName>Williams</LastName><ForeName>Jason J</ForeName><Initials>JJ</Initials><AffiliationInfo><Affiliation>DNA Learning Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York. williams@cshl.edu.</Affiliation></AffiliationInfo></Author><Author><LastName>Teal</LastName><ForeName>Tracy K</ForeName><Initials>TK</Initials><AffiliationInfo><Affiliation>Data Carpentry, Davis, California.</Affiliation></AffiliationInfo></Author></AuthorList><Language>ENG</Language><PublicationTypeList><PublicationType UI="">JOURNAL ARTICLE</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>9</Month><Day>7</Day></ArticleDate></Article><MedlineJournalInfo><MedlineTA>Ann N Y Acad Sci</MedlineTA><NlmUniqueID>7506858</NlmUniqueID><ISSNLinking>0077-8923</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">bioinformatics</Keyword><Keyword MajorTopicYN="N">cyberinfrastructure</Keyword><Keyword MajorTopicYN="N">education</Keyword><Keyword MajorTopicYN="N">open science</Keyword><Keyword MajorTopicYN="N">professional development</Keyword><Keyword MajorTopicYN="N">training</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year><Month>4</Month><Day>30</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2016</Year><Month>7</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>7</Month><Day>20</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>9</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>9</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>9</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>aheadofprint</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1111/nyas.13207</ArticleId><ArticleId IdType="pubmed">27603332</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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