The data management life cycle for linguists

Abstract

While the concept of managing data is not new to the field of linguistics, the reality is that there are still significant barriers to creating citable records that allow persistent access to clearly structured primary data and that enable reproducible results. With the current emphasis from funding agencies and publishers on the importance of transparency and data sharing, it is increasingly important that good data management skills and methods be prioritized as a formal part of the academic linguist’s workflow. Although it is difficult to provide specific recommendations for all subdisciplines of such a heterogeneous field, this poster will highlight core principles and provide specific guidelines for academic linguists throughout the research life cycle, from the earliest pre-planning stages, through deposit in a trusted repository, and into the future as data are re-used for further inquiry.