Overview
What institutions need to consider in formulating data management frameworks and strategies
Institutional data management frameworks
Strategic planning to build and support effective data management
Institutional policies and procedures
Guides and examples of institutional policies and procedures fundamental to good data management
Funder guidelines
Summary of Australian and international funder policies and requirements affecting research data
Data management plans
Example plans and elements to consider when developing institutional data management plans
Data capture
Projects and reusable software to collect and manage data, and improve its metadata
Storage
Choices around data storage and the implications for metadata management and access
File wrangling
Careful thought about files at the beginning of a research project can save a lot of time, money and heartache later in a project
Data preservation
Advice on ensuring access enduring data assets and supporting their reuse
Data versioning
Advice on creating a new version of a dataset when an existing dataset is reprocessed, corrected or appended
For researchers
Practical strategies and considerations for maximising the impact of your research data
Research data management in practice Guide
Outlines data management roles and responsibilities of institutions and researchers