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Key opportunities and challenges for the use of big data in migration research and policy
Migration is one of the defining issues of the 21st century. Better data is required to improve understanding about how and why people are moving, target interventions and support evidence-based migration policy. Big data, defined as large, complex data from diverse sources, is regularly proposed as...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
UCL Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171412/ https://www.ncbi.nlm.nih.gov/pubmed/37228797 http://dx.doi.org/10.14324/111.444/ucloe.000027 |
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author | Franklinos, Lydia H. V. Parrish, Rebecca Burns, Rachel Caflisch, Andrea Mallick, Bishawjit Rahman, Taifur Routsis, Vasileios López, Ana Sebastián Tatem, Andrew J. Trigwell, Robert |
author_facet | Franklinos, Lydia H. V. Parrish, Rebecca Burns, Rachel Caflisch, Andrea Mallick, Bishawjit Rahman, Taifur Routsis, Vasileios López, Ana Sebastián Tatem, Andrew J. Trigwell, Robert |
author_sort | Franklinos, Lydia H. V. |
collection | PubMed |
description | Migration is one of the defining issues of the 21st century. Better data is required to improve understanding about how and why people are moving, target interventions and support evidence-based migration policy. Big data, defined as large, complex data from diverse sources, is regularly proposed as a solution to help address current gaps in knowledge. The authors participated in a workshop held in London, UK, in July 2019, that brought together experts from the United Nations (UN), humanitarian non-governmental organisations (NGOs), policy and academia to develop a better understanding of how big data could be used for migration research and policy. We identified six key areas regarding the application of big data in migration research and policy: accessing and utilising data; integrating data sources and knowledge; understanding environmental drivers of migration; improving healthcare access for migrant populations; ethical and security concerns around the use of big data; and addressing political narratives. We advocate the need for careful consideration of the challenges faced by the use of big data, as well as increased cross-disciplinary collaborations to advance the use of big data in migration research whilst safeguarding vulnerable migrant communities. |
format | Online Article Text |
id | pubmed-10171412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | UCL Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101714122023-05-24 Key opportunities and challenges for the use of big data in migration research and policy Franklinos, Lydia H. V. Parrish, Rebecca Burns, Rachel Caflisch, Andrea Mallick, Bishawjit Rahman, Taifur Routsis, Vasileios López, Ana Sebastián Tatem, Andrew J. Trigwell, Robert UCL Open Environ Research Article Migration is one of the defining issues of the 21st century. Better data is required to improve understanding about how and why people are moving, target interventions and support evidence-based migration policy. Big data, defined as large, complex data from diverse sources, is regularly proposed as a solution to help address current gaps in knowledge. The authors participated in a workshop held in London, UK, in July 2019, that brought together experts from the United Nations (UN), humanitarian non-governmental organisations (NGOs), policy and academia to develop a better understanding of how big data could be used for migration research and policy. We identified six key areas regarding the application of big data in migration research and policy: accessing and utilising data; integrating data sources and knowledge; understanding environmental drivers of migration; improving healthcare access for migrant populations; ethical and security concerns around the use of big data; and addressing political narratives. We advocate the need for careful consideration of the challenges faced by the use of big data, as well as increased cross-disciplinary collaborations to advance the use of big data in migration research whilst safeguarding vulnerable migrant communities. UCL Press 2021-10-27 /pmc/articles/PMC10171412/ /pubmed/37228797 http://dx.doi.org/10.14324/111.444/ucloe.000027 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence (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. |
spellingShingle | Research Article Franklinos, Lydia H. V. Parrish, Rebecca Burns, Rachel Caflisch, Andrea Mallick, Bishawjit Rahman, Taifur Routsis, Vasileios López, Ana Sebastián Tatem, Andrew J. Trigwell, Robert Key opportunities and challenges for the use of big data in migration research and policy |
title | Key opportunities and challenges for the use of big data in migration research and policy |
title_full | Key opportunities and challenges for the use of big data in migration research and policy |
title_fullStr | Key opportunities and challenges for the use of big data in migration research and policy |
title_full_unstemmed | Key opportunities and challenges for the use of big data in migration research and policy |
title_short | Key opportunities and challenges for the use of big data in migration research and policy |
title_sort | key opportunities and challenges for the use of big data in migration research and policy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171412/ https://www.ncbi.nlm.nih.gov/pubmed/37228797 http://dx.doi.org/10.14324/111.444/ucloe.000027 |
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