Berez-Kroeker, Andrea and Collister, LB and Kung, Susan Smythe
(2018)
Workshop on Data Management Plans for Linguistic Research.
In: Linguistic Society of America Annual Meeting, 04 January 2018 - 04 January 2018, Salt Lake City, Utah.
Abstract
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 1-day 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 similar to those desired by the NSF Behavioral and Cognitive Sciences Division (for example, Linguistics, Documenting Endangered Languages), 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 bullet points for a draft of a DMP designed specifically for that project.
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