This document provides guidance on data, idea, backup, and project management for research. It recommends documenting all aspects of the research process, organizing files in a hanging folder system separated by project phases, and keeping all drafts. It also suggests capturing insights in an idea management system and making regular backups to prevent data loss. Finally, it advises planning research projects carefully with realistic deadlines, deliverables, and sufficient time for rewriting.
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Data Management Presentation
1. Data Management
Chi Yan Lam
Faculty of Ed., Queens University
2. What are we doing?
Whatever you want to talk about!
Thesis Box
Idea Management
Backup
Project Management
6. Data Management
Document, document, document
Keep a researchers log
User a hanging folder method
For each phase of the project
Proposal, lit review (probably two/three major areas?)
ethics, Consent forms, Transcripts, examples
Special folders for each type of your rsh data
KEEP all drafts --- print them.
Do the same for your digital files
7. Why?
Research ethics --- safeguarding data
For your own sanity
Facilitate retrieval
Demonstrating original work (esp. in the case of a
dispute)
Research practices transparency/replicability
8. Idea Management
about those serendipitous moments when
you have insights into your problem.
Where/When -- watching TEDtalks? Going to
a guest lecture? Class? Reading a book?
Reading the lit?
14. Project Management
Think about Strategy
Deadlines Budget twice the time
(real) deadlines Budget for re-writing and
Deliverables re-drafting
Lead time Work in time blocks
Pomodoro 25-5
Wait-time
Immerse youself