As greater shares of research and data are digitized, political scientists are increasingly confronted with questions pertaining to data security. Yet, data-management plans rarely evaluate the risks pertaining to a researcher’s data across all project phases. This article highlights distinct risks related to key phases of the research process that deserve more attention by scholars. We emphasize risks during a project’s inception and pre-data-collection phases, as well as risks associated with data publication and its afterlife. We discuss how shifts in political context and (re)newed politicization of topics can present new security risks for both the researcher and the researched communities long after a project has been completed. We provide a framework for recognizing and mitigating data risks, thereby contributing to the growing interest in data-security best practices.

Over the last 12 years, Mexico has become one of the most dangerous places to be a journalist. We examine how this risk-environment influences the content and strategies of reporting at one of Mexico’s most well known national newspapers, Reforma. We argue that as the risk environment worsens, journalists use less specific language about armed actors to report on violent events. To test our claims, we turn to three novel sources of data: the first captures granular information about attacks against journalists, the second uses natural language processing to measure changes in reporting overtime; and the third incorporates interviews from journalists themselves. We show that as violence against journalists increases, news story specificity decreases. Importantly, our findings reveal the ways in which journalists develop protection strategies to ensure high quality reporting, even under risky conditions and highlight the critical link between risk and information environments in areas of protracted violence.