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      Migration Research in a Digitized World : Using Innovative Technology to Tackle Methodological Challenges 

      Leveraging the Web for Migration Studies: Data Sources and Data Extraction

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      Springer International Publishing

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          Abstract

          The Web is an open and dynamic medium that offers great opportunities for accessing and extracting data for migration research. These opportunities are signposted by concepts such as big data or open data, which incite researchers to envision the World Wide Web as a gigantic network of all kinds of datasets. However, many migration scholars are not familiar with the wealth of web-based resources or lack the operational expertise for actually leveraging these data for their research purposes. This chapter aims to highlight the benefits that migration researchers can obtain when embracing data science. After introducing key concepts, we first describe a range of data sources (theme-specific and generalist data banks, public data repositories, and search engines) of outstanding relevance for migration studies. Then, we explain the various techniques by means of which web-based datasets can be retrieved and stored. The chapter concludes by summarizing the advantages and potentialities of mining the Web for migration research, as well as related challenges and limitations.

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          Most cited references37

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          Dynamic population mapping using mobile phone data.

          During the past few decades, technologies such as remote sensing, geographical information systems, and global positioning systems have transformed the way the distribution of human population is studied and modeled in space and time. However, the mapping of populations remains constrained by the logistics of censuses and surveys. Consequently, spatially detailed changes across scales of days, weeks, or months, or even year to year, are difficult to assess and limit the application of human population maps in situations in which timely information is required, such as disasters, conflicts, or epidemics. Mobile phones (MPs) now have an extremely high penetration rate across the globe, and analyzing the spatiotemporal distribution of MP calls geolocated to the tower level may overcome many limitations of census-based approaches, provided that the use of MP data is properly assessed and calibrated. Using datasets of more than 1 billion MP call records from Portugal and France, we show how spatially and temporarily explicit estimations of population densities can be produced at national scales, and how these estimates compare with outputs produced using alternative human population mapping methods. We also demonstrate how maps of human population changes can be produced over multiple timescales while preserving the anonymity of MP users. With similar data being collected every day by MP network providers across the world, the prospect of being able to map contemporary and changing human population distributions over relatively short intervals exists, paving the way for new applications and a near real-time understanding of patterns and processes in human geography.
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            Linked Data: Evolving the Web into a Global Data Space

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              The Open Knowledge Foundation: Open Data Means Better Science

              Open data leads to better science, but overcoming the barriers to widespread publication and availability of open scientific data requires a community effort. The Open Knowledge Foundation Open Data in Science Working Group describes their role in this movement.
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                Author and book information

                Book Chapter
                2022
                July 12 2022
                : 129-148
                10.1007/978-3-031-01319-5_7
                39142a56-ae2c-4a03-abe9-a9b314ff2ab4
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