Good data management, practiced throughout one’s career, can save time, money, and frustration, while ultimately helping increase the impacts of research. 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. This mini-workshop will cover two important parts of the data management process: data collection, and selection/preservation of data. The materials for the full seven-part workshop are available at http://bit.ly/DMPLing
Participants will learn about data management best practices and useful tools to produce a DMP that will help with any research project. Tools and methods suggested in this workshop are 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.
Location and Address
Rooim G-17, Cathedral of Learning