LEADER 04667oam 2200865I 450 001 9910808914203321 005 20240416221825.0 010 $a0-262-32787-2 010 $a0-262-52991-2 010 $a0-262-32786-4 035 $a(CKB)3710000000337351 035 $a(EBL)3339930 035 $a(SSID)ssj0001404611 035 $a(PQKBManifestationID)12604472 035 $a(PQKBTitleCode)TC0001404611 035 $a(PQKBWorkID)11402326 035 $a(PQKB)10369463 035 $a(CaBNVSL)mat07040497 035 $a(IDAMS)0b0000648293c763 035 $a(IEEE)7040497 035 $a(WaSeSS)IndRDA00079906 035 $a(OCoLC)900409008$z(OCoLC)905660827$z(OCoLC)1059016568$z(OCoLC)1086547383 035 $a(OCoLC-P)900409008 035 $a(MaCbMITP)9963 035 $a(Au-PeEL)EBL3339930 035 $a(CaPaEBR)ebr11006438 035 $a(CaONFJC)MIL695401 035 $a(OCoLC)900409008 035 $z(PPN)220188912 035 $a(PPN)191303143 035 $a(FR-PaCSA)88841741 035 $a(MiAaPQ)EBC3339930 035 $a(EXLCZ)993710000000337351 100 $a20150119h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBig data, little data, no data $escholarship in the networked world /$fChristine L. Borgman 205 $a1st ed. 210 4$dİ2015 210 1$aCambridge, Massachusetts :$cThe MIT Press,$d[2015] 215 $aXXV, 383 s$cill 300 $aDescription based upon print version of record. 311 $a1-322-64119-6 311 $a0-262-02856-5 320 $aIncludes bibliographical references and index. 327 $aProvocations -- What are data? -- Data scholarship -- Data diversity -- Data scholarship in the sciences -- Data scholarship in the social sciences -- Data scholarship in the humanities -- Sharing, releasing, and reusing data -- Credit, attribution, and discovery of data -- What to keep and why to keep them. 330 $aAn examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. 330 3 $a"'Big Data' is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship." 606 $aCommunication in learning and scholarship$xTechnological innovations 606 $aResearch$xMethodology 606 $aResearch$xData processing 606 $aInformation technology 606 $aInformation storage and retrieval systems 606 $aCyberinfrastructure 610 $aStore datamengder$aInformasjonsteknologi$aDatautvinning$aForskningsmetoder$aCyberspace 610 $aINFORMATION SCIENCE/Technology & Policy 610 $aINFORMATION SCIENCE/Internet Studies 610 $aINFORMATION SCIENCE/General 615 0$aCommunication in learning and scholarship$xTechnological innovations. 615 0$aResearch$xMethodology. 615 0$aResearch$xData processing. 615 0$aInformation technology. 615 0$aInformation storage and retrieval systems. 615 0$aCyberinfrastructure. 676 $a004 700 $aBorgman$b Christine L.$f1951-$0627824 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910808914203321 996 $aBig data, little data, no data$91903389 997 $aUNINA