Andrew Cox is a senior lecturer at the Information School, University of Sheffield, UK and led the RDMRose Project. His research interests include virtual community, social media and library responses to technology. He coordinates Sheffield’s MSc in Digital Library Management.
- Table of Contents
- About the Authors
- a discussion of the drivers and barriers to RDM;
- institutional policy and making the case for Research Data Services;
- practical data management;
- data literacy and training researchers;
- ethics and research data services; and
- case studies and practical advice from working in a Research Data Service.
List of figures and tables
1. Introducing research data management
A thought experiment
Why is RDM important now?
What does the practice of supporting RDM actually involve?
Who is this book for?
About the book
2. The social world of research
The research landscape
The organisation of research
The research lifecycle
The experience of research: research and identity
3. What are research data?
Research data are important to (some) researchers
Types of research data
Some definitions of research data
Research data is complex
Information management and RDM
4. Case study of RDM in an environmental engineering science project
The research method
The challenge of metadata
The need to foster a culture around metadata
Talking to researchers
5. RDM: drivers and barriers
The ‘crisis of reproducibility’
Government and funder policy
FAIR data principles
RDM and the new public management
Drivers and barriers
6. RDM as a wicked challenge
Types of problem
The wicked challenge concept
Is RDM wicked?
Leadership in a wicked challenge context
7. Research data services
Research data services (RDS)
Vision, mission, strategy and governance
8. Staffing a research data service
New activities and roles
Who does what?
The collaborative research data service
New skills and roles
9. Requirements gathering for a research data service
Finding out more about an institution
Interviews and focus groups
10. Institutional policy and the business case for research data services
Writing a policy
Developing a policy
Content of a policy
Layout and style
Using and updating the RDM policy
11. Support and advice for RDM
Offering support and advice
Making the RDS visible
Frequently asked questions
The RDM website
Key challenges for advice and support
12. Practical data management
Personal information management
Risks and risk management
File organisation and naming
Back-ups of active data
Promoting practical data management
13. Data management planning
The data management plan
The benefits of DMPs
The content of a DMP
Reading an example DMP
Supporting data management planning
14. Advocacy for data management and sharing
Drivers for data sharing
What should researchers do to promote data use and re-use?
Changing the culture
15. Training researchers and data literacy
Step 1: Who is the training for?
Step 2: What topics need to be covered?
Step 3: Who should deliver the training?
Step 4: How should the training be delivered?
Making and re-using educational resources
Step 5: How is the training to be made engaging?
Step 6: Evaluating training
Getting the right mix
16. Infrastructure for research data storage and preservation
Selecting data for deposit
Preparing data: metadata and documentation
Preparing data: file formats
Providing access to consumers
17. Evaluation of RDS
Principles of evaluation
A balanced scorecard approach
18. Ethics and research data services
An ethical service
Dilemmas for RDS
Ethics in professional relationships
19. A day in the life working in an RDS
RDM in practice
Advocacy, training and support
RDM day to day
20. Conclusion: the skills and mindset to succeed in RDM
Working in RDM
Your career plan and RDM
Keeping up to date