The document outlines the research methods group's data management services throughout the entire research lifecycle from proposal stage to grant closeout. It details the steps taken to establish data outputs monitoring including a database to track projects, regions, years of published datasets and their status. It also lists what is still needed such as establishing clear data policies, ethical committees, and changing institutional culture to fully support open access to research data.
3. Data Management Services Throughout
Research Lifecycle
Proposal
Stage
Grant
Opening
Project
Research
Publishing
Grant
Close
out
• Proposal Checklist
• Data Publishing
• Scientific collaboration
• GMIS updated with
delivered dataset
• Full dataset archived
• GMIS Project target
datasets record
• Dataverse Study Created
• Data Collection
• Data Cleaning
• Dataverse Management
• Data Analysis
4. Establishing Data Outputs Monitoring
Outputs
Monitoring
Database
Customer
Relationship
Management (CRM)
Redmine + Emails
Dataverse
Published Dataset
Projects
RegionsYears
Published Dataset
Status
Category
Project Status
• GMIS status shows data
• Data Management
meeting
• Study set up with
cataloguing information
• Methods + 1st data
archived
• Completed dataset +
meta data
• Not contacted
• Contacted – no reply
• Reminder 1
• Reminder 2
• Contacted – replied
with data
• Data uploaded but
missing items e.g.
codebook, DOI links
• Data archived
5. What is needed?
• Clear mandate to include data as research output
• CGIAR Fund allocation to support cross-center collaboration
• Data Policies at Centre level
• Ethical committee to be established in all Centers
• Clear guidelines on authorship attribution
• Zero tolerance of scientific fraud
• Changing institutional culture
• Support scientist to submit peer reviewed data papers