1 CALL FOR PAPERS JOURNAL OF CONTEMPORARY ADMINISTRATION (RAC – REVISTA DE ADMINISTRAÇÃO CONTEMPORÂNEA) ISSN 1982-7849 (online) rac.anpad.org.br SPECIAL ISSUE: Data reuse: What new information can we learn from used data? Submission Deadline: October 10th, 2020 Review Process Ends: March 30th, 2021 Special Issue attempt of publication: July, 2021 Associate Editor: Henrique Castro Martins – PUC Rio, IAG, Brazil Guest Editor: Marcelo S. Perlin - UFRGS, EA, Brazil RATIONALE FOR CALL: One of the most critical tasks of executing empirical research in Business Administration is to collect reliable data. This is usually costly, time-consuming and, sometimes, demands legal agreements along the process to guarantee the rights of those who own the data. Thus, the open access to empirical data is of extreme value for researchers of several fields (Piwowar & Vision, 2013; Van Raaij, 2018; Wallis, Rolando, & Borgman, 2013; Wegener & Rüping, 2011; Zimmerman, 2008). In the past few years, the worldwide community (Wilkinson, Dumontier, Aalbersberg, Appleton, Axton, Baak, et al., 2016) initiated a process to make research data FAIR (findable, accessible, interoperable, and reusable) throughout Open Science practices. RAC supports this movement and is committed to boosting open science practices (including open data) in the local community. One of the cornerstones of Open Data is to make it accessible for reuse. To foster reuse of data, RAC is inviting the submission of articles that build upon reused data. We encourage authors to access data used in previously published works to investigate new or current issues that are of interest to the management community. We are looking for articles that, building upon open data, take a different look than the original article either by developing further the original research or providing new insights to it. Articles also may try to validate the original results using different estimation techniques or different theories. We emphasize that reused data must come from public repositories or journals with open data practices. We are looking for articles that reassess public data used in already published articles. Thus, neither non-public data from published articles nor data collected in secondary sources will be accepted. Also, submitted articles need to contribute to the literature, either theoretically or empirically. Simply having reused data does not guarantee publication. Finally, submitted articles might also be a tutorial-article guiding readers on how to estimate the methods and how to reach the published article findings. For more information about RAC’s tutorial-articles, see Martins and Mendes-da-Silva (2020). An ideal, but not mandatory, structure of a data reuse article is: 1) An introduction section motivating the topic, the research question of the original work, the research question of the submitted research, and its contribution; 2) Discussion of the theory and proposition of a research framework; 3) Statement of the hypotheses and how they differ from the original work; 4) Discussion of the data and the results of the original work; 5) Elucidation and explanation of the conducted estimations and presentation of results; 6) Main findings and concluding remarks.