2020
DOI: 10.3233/isu-200089
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Privacy considerations for library and information professionals

Abstract: This paper is based upon a session on privacy that was held during the inaugural NISO+ conference that was held February 23–25, 2020 in Baltimore, MD. It briefly describes the six types of privacy put forth by Daniel Solove in his book, Understanding Privacy, and the professional standards held by librarians to ensure that their patrons can access and consume information with little or no observation. It also offers some helpful suggestions for librarians to consider as they work to secure privacy and confiden… Show more

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Cited by 3 publications
(2 citation statements)
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“…Additional research highlights successful integrations of ORCID within other data sources. For example, CrossRef and PubMed have incorporated ORCID identifiers to streamline author identification and enhance the accuracy of publication records (Smith et al, 2019;Johnson, 2020). An analysis using the Dimensions database found that different regions adopted and actively used ORCID IDs at different rates.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Additional research highlights successful integrations of ORCID within other data sources. For example, CrossRef and PubMed have incorporated ORCID identifiers to streamline author identification and enhance the accuracy of publication records (Smith et al, 2019;Johnson, 2020). An analysis using the Dimensions database found that different regions adopted and actively used ORCID IDs at different rates.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Borrego [18] sorted out and summarized the current research of L&I data-driven knowledge discovery, clarified the core ideas of library knowledge discovery and L&I visualization service, and detailed the innovative data environment, driving mechanism, and pattern application, which are necessary for digital library knowledge discovery and L&I visualization service. Johnson [19] reviewed the results of cross disciplinary research on L&I in China, visualized the relevant research results with automated valuation models (AVMs), and discussed the differences between various methods, namely, cluster analysis, survey method, and strength, weakness, opportunity, and threat (SWOT) analysis.…”
Section: Introductionmentioning
confidence: 99%