Dataset of international migration among German-affiliated researchers in Scopus over 1996-2020

This dataset contains one of the main outputs of a series of studies on international migration among German-affiliated researchers based on Scopus bibliometric data. The migration flows are inferred from the changes of affiliation addresses in Scopus publications from 1996-2020. Scopus data is owned and maintained by Elsevier. <br> This dataset is provided under a CC BY-NC-SA Creative Commons v 4.0 license (Attribution-NonCommercial-ShareAlike). This means that other individuals may remix, tweak, and build upon these data non-commercially, as long as they provide citations to this data repository (https://doi.org/10.6084/m9.figshare.18433139) and the two referenced articles listed below, and license the new creations under identical terms. <br> For more details about the study, please refer to the following two articles. <br> Zhao, X., Aref, S., Zagheni, E., &amp; Stecklov, G., Return migration of German-affiliated researchers: analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996–2020. <em>Scientometrics</em> (2022). https://doi.org/10.1007/s11192-022-04351-4 <br> Zhao, X., Aref, S., Zagheni, E., &amp; Stecklov, G., International migration in academia and citation performance: An analysis of German-affiliated researchers by gender and discipline using Scopus publications 1996-2020. In: Glänzel W, Heeffer S, Chi PS, et al (eds) Proceedings of the 18th International Conference on Scientometrics and Informetrics. ISSI, Leuven, p 1369–1380, (2021) https://arxiv.org/abs/2104.12380, https://kuleuven.app.box.com/s/kdhn54ndlmwtil3s4aaxmotl9fv9s329 <br> <br> The dataset is provided in a comma-separated values file (.csv file). Each row represents the international movement of a Scopus-published researcher from a country (Source) to another country (Target) in a specific year (move_year). The most likely gender and the most likely discipline for each researchers is inferred using data-driven methods as described in Zhao et al. (2022). <br> Description of variables (columns of the csv file): "Source": the country where the researcher has moved from "Target": the country where the researcher has moved to "move_year": inferred year of the move "gender": inferred gender "discipline": inferred discipline <br> The binary genders inferred and used in our analysis do not refer directly to the sex of the researchers, assigned at birth or self-chosen; nor do they refer to the socially assigned or self-chosen genders of the authors. <br> The data can be used to produce migration models or possibly other measures, estimates, and analyses.