2017 LSA Institute Workshop on Data Management Plans

Workshop Summary:

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 2-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 (including DMPTool) 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 a draft of a DMP designed specifically for that project.

Participants should bring laptops. Registration is limited to 18 participants.

Workshop Schedule:

Saturday and Sunday 9am-5pm, with breaks for lunch (not provided). Room: JSB 114.

Instructors:

Susan Smythe Kung, Archive Manager of the Archive of the Indigenous Languages of Latin America, University of Texas at Austin

Andrea Berez-Kroeker, Director of the Kaipuleohone Language Archive and Associate Professor of Linguistics, University of Hawaiʻi

Lauren Collister, Scholarly Communications Librarian, University of Pittsburgh

Workshop Materials