From Big Data to Knowledge in the Social Sciences
Identifieur interne : 000112 ( Main/Exploration ); précédent : 000111; suivant : 000113From Big Data to Knowledge in the Social Sciences
Auteurs : Bradford W. Hesse ; Richard P. Moser ; William T. RileySource :
- The Annals of the American Academy of Political and Social Science [ 0002-7162 ] ; 2015.
Abstract
One of the challenges associated with high-volume, diverse datasets is whether synthesis of open data streams can translate into actionable knowledge. Recognizing that challenge and other issues related to these types of data, the National Institutes of Health developed the
Url:
DOI: 10.1177/0002716215570007
PubMed: 26294799
PubMed Central: 4539961
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Pmc, to step Corpus: 000448
- to stream Pmc, to step Curation: 000448
- to stream Pmc, to step Checkpoint: 000104
- to stream Ncbi, to step Merge: 000661
- to stream Ncbi, to step Curation: 000661
- to stream Ncbi, to step Checkpoint: 000661
- to stream Main, to step Merge: 000112
- to stream Main, to step Curation: 000112
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">From Big Data to Knowledge in the Social Sciences</title><author><name sortKey="Hesse, Bradford W" sort="Hesse, Bradford W" uniqKey="Hesse B" first="Bradford W." last="Hesse">Bradford W. Hesse</name></author><author><name sortKey="Moser, Richard P" sort="Moser, Richard P" uniqKey="Moser R" first="Richard P." last="Moser">Richard P. Moser</name></author><author><name sortKey="Riley, William T" sort="Riley, William T" uniqKey="Riley W" first="William T." last="Riley">William T. Riley</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26294799</idno><idno type="pmc">4539961</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4539961</idno><idno type="RBID">PMC:4539961</idno><idno type="doi">10.1177/0002716215570007</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000448</idno><idno type="wicri:Area/Pmc/Curation">000448</idno><idno type="wicri:Area/Pmc/Checkpoint">000104</idno><idno type="wicri:Area/Ncbi/Merge">000661</idno><idno type="wicri:Area/Ncbi/Curation">000661</idno><idno type="wicri:Area/Ncbi/Checkpoint">000661</idno><idno type="wicri:doubleKey">0002-7162:2015:Hesse B:from:big:data</idno><idno type="wicri:Area/Main/Merge">000112</idno><idno type="wicri:Area/Main/Curation">000112</idno><idno type="wicri:Area/Main/Exploration">000112</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">From Big Data to Knowledge in the Social Sciences</title><author><name sortKey="Hesse, Bradford W" sort="Hesse, Bradford W" uniqKey="Hesse B" first="Bradford W." last="Hesse">Bradford W. Hesse</name></author><author><name sortKey="Moser, Richard P" sort="Moser, Richard P" uniqKey="Moser R" first="Richard P." last="Moser">Richard P. Moser</name></author><author><name sortKey="Riley, William T" sort="Riley, William T" uniqKey="Riley W" first="William T." last="Riley">William T. Riley</name></author></analytic><series><title level="j">The Annals of the American Academy of Political and Social Science</title><idno type="ISSN">0002-7162</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">One of the challenges associated with high-volume, diverse datasets is whether synthesis of open data streams can translate into actionable knowledge. Recognizing that challenge and other issues related to these types of data, the National Institutes of Health developed the <italic>Big Data to Knowledge</italic> or <italic>BD2K</italic> initiative. The concept of translating “big data to knowledge” is important to the social and behavioral sciences in several respects. First, a general shift to data-intensive science will exert an influence on all scientific disciplines, but particularly on the behavioral and social sciences given the wealth of behavior and related constructs captured by big data sources. Second, science is itself a social enterprise; by applying principles from the social sciences to the conduct of research, it should be possible to ameliorate some of the systemic problems that plague the scientific enterprise in the age of big data. We explore the feasibility of recalibrating the basic mechanisms of the scientific enterprise so that they are more transparent and cumulative; more integrative and cohesive; and more rapid, relevant, and responsive.</p></div></front></TEI><affiliations><list></list><tree><noCountry><name sortKey="Hesse, Bradford W" sort="Hesse, Bradford W" uniqKey="Hesse B" first="Bradford W." last="Hesse">Bradford W. Hesse</name><name sortKey="Moser, Richard P" sort="Moser, Richard P" uniqKey="Moser R" first="Richard P." last="Moser">Richard P. Moser</name><name sortKey="Riley, William T" sort="Riley, William T" uniqKey="Riley W" first="William T." last="Riley">William T. Riley</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/CyberinfraV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000112 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000112 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= CyberinfraV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= PMC:4539961
|texte= From Big Data to Knowledge in the Social Sciences
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:26294799" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a CyberinfraV1
| This area was generated with Dilib version V0.6.25. |  |