Data Management Plans for Linguistic Research
The rising tide of data management and sharing requirements from funding agencies, publishers, and institutions has created a new set of pressures for researchers who are already stretched for time and funds. While it can feel like yet another set of painful hurdles, in reality, the process of creating a Data Management Plan (DMP) can be a surprisingly useful exercise, especially when done early in a project’s lifecycle. Good data management, practiced throughout one’s career, can save time, money, and frustration, while ultimately helping increase the impacts of research. This 2day workshop will involve lecture and discussion around concepts of data management throughout the data lifecycle (from data creation, storage, and analysis to data sharing, archiving, and reusing), as well as related issues such as intellectual property, copyright, open access, data citation, attribution, and metrics. Participants will learn about data management best practices and useful tools while engaging in activities designed to produce a DMP that will be suitable for submission to the NSF Linguistics and Documenting Endangered Languages programs, as well as other federal agencies such as NEH. Participants should come with a real or hypothetical project in mind; at the end of the workshop, they will have a draft of a DMP designed specifically for that project. Participants should bring laptops.
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