Data Management Implementation Program - Instructor Guide

The objectives for this week are: 

• Identify elements of a research data lifecycle
• Identify personal values regarding research data management
• Identify other entities (funder/lab/etc.) values regarding data management.
• Reflect on the gaps that may exists between value systems as they relate to the data life cycle

Required

• Data Management for Researchers by Briney:  Chapter/section 1.2:  What is Data management?
• Data Management for Researchers by Briney: Chapter/sections 8.1-8.2: Storage and Backup
• Data One Module Lesson 1: Why data Management. 

Optional: 

• Data Management for Researchers by Briney: Chapter/section 2.1-2.4:  The data lifecycle

To prepare for this week:

• Read the assigned assigned documents/slides
• Consider what your personal values are regarding data management
• Consider what the your lab or research group's values are for data management
• Consider what your funder or other influencing entity expectations may for data management (if you know)

The in session tasks for this week will be: 

1. Discussion and map exercise about the elements of the research data lifecycle
   • Using the materials provided, create a research data lifecycle as it applies to your work.
   • What activities do you identify as data management activities in each of the stages of your data life cycle?
2. Written reflection on values regarding data management. 
   • Why is data management important to you? What do you expect to get from having improved data management skills?
   • Where does your data management values align with your lab, funder, or other entity?
   • Where does your data management values misalign with your lab, funder, or other entity? In what way?