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      Key opportunities and challenges for the use of big data in migration research and policy

      Preprint
      research-article
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            Content

            Author and article information

            Journal
            UCL Open: Environment Preprint
            UCL Press
            18 June 2020
            Affiliations
            [1 ] Institute for Global Health, University College London, London, UK; Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, UK
            [2 ] Institute for Global Health, University College London, London, UK; Institute of Environment, Health and Societies, Brunel University, London, UK
            [3 ] Centre of Public Health Data Science, Institute of Health Informatics, University College London, London, UK
            [4 ] United Nations’ Displacement Tracking Matrix, International Organization for Migration, International Organization for Migration, Juba, South Sudan
            [5 ] CU Population Center, Institute of Behavioral Science, University of Colorado Boulder Campus, Boulder, CO, USA; Faculty of Environmental Sciences, Technische Universität Dresden, Dresden, Germany
            [6 ] Health Management BD Foundation, Sector 6, Uttara, Dhaka, Bangladesh; Adjunct Faculty, Department of Public Health, North South University, Dhaka, Bangladesh
            [7 ] Department of Information Studies, University College London, London, UK
            [8 ] GMV Innovating Solutions Ltd, HQ Building, Thomson Avenue, Harwell Campus, Didcot, UK
            [9 ] WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK
            [10 ] United Nations’ Displacement Tracking Matrix, International Organization for Migration, United Nations, London, UK
            Article
            10.14324/111.444/000042.v1
            1a260fd3-0279-4bf4-8ecf-0510fe407a8b

            This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY) 4.0 https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

            Funding
            UCL Grand Challenges, UCL, London, UK 506002-100-156425

            Comments

            Date: 12 July 2021

            Handling Editor: Dr Ben Milligan and Prof Dan Osborn

            Editorial decision: Request revision. The Handling Editor requested revisions; the article has been returned to the authors to make this revision.

            Additional comments by teh Handling Editor: Please take into particular consideration:

            • The broad thrust of the remarks of both reviewers who are calling for more critical remarks in a number of areas especially with respect some of the points the paper itself makes about the nature of the data that is thus far available.
            • Issues around framing and rational of the work need some further attention
            • A clear statement is probably needed as to the limited circumstances in which big data can help at present
            • Something further might be added on a range of moral or ethical issues linked to migrants and big data and who can access it or use it
            • A little more would be welcomed on the opportunities that would be provided if big data could be used more
            • Table 1 and analysis associated with it might warrant some further attention
            2021-09-10 13:37 UTC
            +1

            Decision Date: 19/06/2020

            Handling Editor: Ben Milligan

            This article is a preprint article and has not been peer-reviewed. It is under consideration following submission to UCL Open: Environment Preprint for open peer review.

            2020-09-17 13:09 UTC
            +1

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