This short course, Data Management for Data Sharing in Learning and Development Research, is designed to provide targeted training that addresses the specific data management and data sharing needs and concerns of child learning and development researchers.
This training will prepare you to manage quantitative research data across the entire project life cycle. Topics covered include How to structure your dataset, best practices in data collection, data documentation, data cleaning, data de-identification, and data sharing.
Program Faculty: Jessica Logan, Sara Hart, Chris Schatschneider, Willa van Dijk, Jeffrey Shero, Crystal Lewis, and Tara Reynolds
Am I eligible? Attendees must have a PhD, be a US citizen or permanent resident, and be working in the field of learning and human development. Researchers can be either new or established investigators (i.e., you must be the PI). Unfortunately, lab staff are not eligible to attend (due to NIH requirements).
Dates: June 8-12, 2026.
More information and application info: https://datamanagementdatasharing.weebly.com/
