Data Analytics: The Next Big Thing in Information

DOI

Information is now available in an overabundance, so much so, that distinguishing the noise from the signal has become very problematic. In the past, the collection and storage of information was the primary issue. Currently, there are massive amounts of data both structured and unstructured, that need to be analyzed in an iterative, as well as in a time sensitive manner. In response to this need, data analytical tools and services have emerged as a means to solve this problem.Grey literature repositories, libraries, and information centers are well positioned to take advantage of these new tools and services. The current trend is to make grey literature more easily discoverable, accessible, and with the new data analytical tools and services, more easily analyzed.The intent of the survey of the Grey Literature community was to provide a snapshot of the Community’s use, planned use, and knowledge of data analytical tools/services for big data as it affects grey literature. The survey summary that follows indicates where the Community currently stands in regards to the use of data analytical tools and services.

Identifier
DOI https://doi.org/10.17026/dans-x6n-d9c5
Metadata Access https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-x6n-d9c5
Provenance
Creator J. Crowe; J.R. Candlish; GreyNet - Grey Literature Network Service
Publisher DANS Data Station Social Sciences and Humanities
Contributor D. Farace
Publication Year 2013
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact D. Farace (GreyNet International, Grey Literature Network Service)
Representation
Resource Type Dataset
Format application/vnd.ms-excel; application/zip; application/pdf
Size 45056; 17127; 894739
Version 1.0
Discipline Humanities