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      Searching Data: A Review of Observational Data Retrieval Practices in Selected Disciplines

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          Abstract

          A cross‐disciplinary examination of the user behaviors involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data in selected disciplines. Two analytical frameworks, rooted in information retrieval and science and technology studies, are used to identify key similarities in practices as a first step toward developing a model describing data retrieval.

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          Reconciling the supply of scientific information with user demands: an analysis of the problem and review of the literature

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            Inside the search process: Information seeking from the user's perspective

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              Do conservation managers use scientific evidence to support their decision-making?

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                Author and article information

                Contributors
                kathleen.gregory@dans.knaw.nl
                p.groth@uva.nl
                helena.cousijn@datacite.org
                andrea.scharnhorst@dans.knaw.nl
                sally.wyatt@maastrichtuniversity.nl
                Journal
                J Assoc Inf Sci Technol
                J Assoc Inf Sci Technol
                10.1002/(ISSN)2330-1643
                ASI
                Journal of the Association for Information Science and Technology
                John Wiley & Sons, Inc. (Hoboken, USA )
                2330-1635
                2330-1643
                12 March 2019
                May 2019
                : 70
                : 5 ( doiID: 10.1002/asi.2019.70.issue-5 )
                : 419-432
                Affiliations
                [ 1 ] Data Archiving and Networked Services, Royal Netherlands Academy of Arts and Sciences Anna van Saksenlaan 51, 2593 HW, The Hague The Netherlands
                [ 2 ] Elsevier Labs Radarweg 29, 1043 NX Amsterdam The Netherlands
                [ 3 ] Elsevier Radarweg 29, 1043 NX Amsterdam The Netherlands
                [ 4 ] DataCite Welfengarten 1B, 30167 Hannover Germany
                [ 5 ] Faculty of Arts and Social Sciences Maastricht University Grote Gracht 82, SZ Maastricht, 6211 The Netherlands
                [ 6 ] Informatics Institute University of Amsterdam, Science Park 904 1098 XH Amsterdam The Netherlands
                Author notes
                [*] [* ]Corresponding author: E‐mail: kathleen.gregory@ 123456dans.knaw.nl
                Author information
                https://orcid.org/0000-0001-5475-8632
                https://orcid.org/0000-0001-6660-6214
                https://orcid.org/0000-0001-8879-8798
                Article
                ASI24165
                10.1002/asi.24165
                6853156
                31763358
                024e1c0b-3d50-4d52-b896-1582e2a5741f
                © 2019 The Authors. Journal of the Association for Information Science and Technology published by Wiley Periodicals, Inc. on behalf of ASIS&T.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 July 2017
                : 13 August 2018
                : 21 October 2018
                Page count
                Figures: 0, Tables: 3, Pages: 14, Words: 12979
                Funding
                Funded by: Nederlandse Organisatie voor Wetenschappelijk Onderzoek , open-funder-registry 10.13039/501100003246;
                Award ID: 652.001.002
                Categories
                Ais Review
                Ais Review
                Custom metadata
                2.0
                May 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.1 mode:remove_FC converted:12.11.2019

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