Issues in Data Management.
Data management raises a number of issues, both regulatory and non-regulatory. Researchers should understand how data are defined by their particular institutions and regulatory authorities. Data are the bases of scientific communication and provide a strong defense against allegations of scientific...
| Publicado en: | Science & Engineering Ethics Vol. 16; no. 4; pp. 743 - 749 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Nature
Dec2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=55613097&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 55613097 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Dec2010 vid: 16 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 55613097 10.1007/s11948-010-9223-5 ppf: 743 ppct: 6 formats: fmt: @attributes: type: P size: 136KB tig: atl: Issues in Data Management. aug: au: Joshi, Margi Krag, Sharon S. affil: Office of Graduate Education and Research, Bloomberg School of Public Health, Johns Hopkins University, 615 North Wolfe Street, Baltimore, MD 21205, USA su: Science Research Information resources management Misconduct in public office Ethics sug: subj: Science Research Information resources management Misconduct in public office Ethics keyword: Data Data management Data ownership Scientific misconduct ab: Data management raises a number of issues, both regulatory and non-regulatory. Researchers should understand how data are defined by their particular institutions and regulatory authorities. Data are the bases of scientific communication and provide a strong defense against allegations of scientific misconduct. Authorization is often necessary before collection of data can commence. Proper handling, retention, and storage of data, especially that involving humans, are crucial for the researcher. Data ownership by the institution leads to a responsibility by the institution to educate all its researchers in responsible data management practices. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Science & Engineering Ethics is a copyright of Springer, 2010. All Rights Reserved. item: Science & Engineering Ethics holder: Springer Nature dt: @attributes: year: 2010 holdings: @attributes: islocal: N |
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