Managing Big Data Issues Within a Research Data Repository: Dealing With the 21st Century Data Explosion
dc.contributor.author | McNally, James W | |
dc.date.accessioned | 2017-11-21T16:02:10Z | |
dc.date.available | 2017-11-21T16:02:10Z | |
dc.date.issued | 2015-07-27 | |
dc.identifier.citation | Managing Big Data Issues Within a Research Data Repository: Dealing With the 21st Century Data Explosion James W. McNally Published: 27 July 2015 by Global Science and Technology Forum in Annual International Conference on ICT: Big Data, Cloud and Security (ICT-BDCS 2015) Annual International Conference on ICT: Big Data, Cloud and Security (ICT-BDCS 2015); doi:10.5176/2382-5669_ict-bdcs15.25 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/139597 | |
dc.description.abstract | Increasingly, organizations in both the public and private sector who fund the collection of research information expect and in many cases mandate the public sharing of these data as a condition of support. While representing a positive expression of the idea that information represents a public good, it has also resulted in a veritable flood of new studies, surveys and administrative records entering the public domain; the emergence of the Big Data model in the secondary analysis of research information. Much of these data are managed by data repositories that ingest, process, clean and enhance these files so they are accurate and consistent and introduce as little error as possible into the analysis stream of information. Conversely, this huge influx of Big Data resources has also resulted in higher expectations for the rapid release of data that complicates the need for a thorough review and cleaning of files before distribution. This paper reviews emerging approaches within a research data repository that seek to maintain high quality control while managing Big Data streams as they enter the system. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Global Science and Technology Forum in Annual International Conference on ICT: Big Data, Cloud and Security (ICT-BDCS 2015) | en_US |
dc.subject | Big Data, repository, distribution data error, processing | en_US |
dc.title | Managing Big Data Issues Within a Research Data Repository: Dealing With the 21st Century Data Explosion | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Director, NACDA Program on Aging | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/139597/1/Managing Big Data Issues Within a Research Data Repository McNally Paper Submission.pdf | |
dc.identifier.doi | 10.5176/2382-5669_ICT-BDCS15.25 | |
dc.identifier.orcid | https://orcid.org/0000-0002-6807-4538 | en_US |
dc.description.filedescription | Description of Managing Big Data Issues Within a Research Data Repository McNally Paper Submission.pdf : Main Article | |
dc.identifier.name-orcid | McNally, James; 0000-0002-6807-4538 | en_US |
dc.owningcollname | Inter-university Consortium for Political and Social Research (ICPSR) |
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