Acknowledgementsxi
Forewordxiii
I. Introduction2
II. Methodology6
III. How to Use this Cookbook10
CASE STUDIES14
1.	Research Data Management Policy: The Holy Grail of Data Management Support?	16
1.1.	Are You a Research Data Superhero? One Person Making a Big Difference at Makerere University	18
Changing the Mindset of Researchers		19
Never Overlook an Opportunity to Speak about RDM		20
How Fast Do Things Change?		22
Additional Resources		22
1.2.	Does a Policy Solve Everything? Policy as a Driver for Engagement at Leiden University	24
A Crown Is Merely a Hat that Lets the Rain In		25
Leiden’s Use of its RDM Policy to Prompt Discussion		25
‘One Size’ Does Not Fit All		26
Why Does this Kind of Engagement Take Time?		26
Continuing the Engagement with a Matrix of Support Services		27
2.	Finding Triggers for Engagement	32
2.1.	Taking Advantage of Existing Administrative Systems: MRC/CSO Social and Public Health Sciences Unit, University of Glasgow	34
Engagement as Early as Possible — The WHY		35
How Early Is Early? The HOW		35
Benefits for the Researcher — The WHAT		36
Looking Back, Does It Work?		38
2.2.	Engaging with Researchers through Data Management Planning at the University of Manchester	40
What Do You Learn from Checking So Many DMPs?		43
Avoiding Being a Victim of Your Own Success		44
2.3.	Timing Is Everything When It Comes to Engaging with Researchers at the University of Technology Sydney	46
3.	Engagement through Training	50
Where There’s a Will, There’s a Way		50
3.1.	Bring Your Own Data (B.Y.O.D.) Workshop at the University of Cambridge	52
A Helping Hand		53
A ‘B.Y.O.D.’ Invitation		53
Feedback for Future Learning		55
3.2.	Introducing Data Management into Existing Courses at the University of Minnesota	56
From Grassroots to Widespread Influence		57
A Lightweight Approach Makes for an Excellent Return on Investment		57
Create a Community to Make It Sustainable		59
3.3.	Engaging with RDM through a PhD Course on Academic Integrity and Open Science at UiT The Arctic University of Norway	60
Why PhDs?		61
What Works? Good Content and a Thoughtful Course Layout		61
Course Preparation is an Educational Process Itself		62
RDM Training as an Institutional Effort		63
3.4.	Open Courses at UiT The Arctic University of Norway	64
Opening the Door to RDM Training		65
Tips for Embedding Engagement in the Course Delivery		65
4.	Dedicated Events to Gauge Interest and Build Networks	68
4.1.	‘Dealing with Data’ Conference at the University of Edinburgh	70
Inviting Researchers to Explain How They Deal with Data		71
Hunting for a Good Theme		72
Manoeuvring to Broaden the Audience		72
4.2.	DuoDi: The ‘Days of Data’ at Vilnius University	74
Library Services from a Business Perspective		75
Success and the Need to Grow		75
4.3.	Let’s Talk Data: Data Conversations at Lancaster University	78
Little Time? Little Money?… But Still Want to Have a Community of Researchers Talking with Passion about Data? You Can Have It with Data Conversations!		79
So What’s the Recipe?		79
If You Want to Talk about Data, Allow Time for Talking		80
Community Building and Cultural Change		80
‘FAIL’ Means ‘First Attempt In Learning’		81
Additional Resources		81
4.4.	Starting New Data Conversations at Vrije Universiteit Amsterdam	82
Getting the Timing Right		83
Good Connections Mean a Lot		83
An Engaging Event Is Not the Same as Community Building		83
Keep Calm and Get Started		84
Additional Resources		85
4.5.	Talk to Understand Your Community Better: Informal Events at the Open University	86
Two Informal Events to Get Discussions Started		87
So What’s Next?		87
Advice for Others Who Want to Start		88
5.	Networks of Data Champions	90
Lack of Funding? Need More RDM Support? Build a Community-Based Model		90
5.1.	Data Champion Programme at the University of Cambridge	92
Establishing a Data Champions Network		93
Growth of a Community		93
What Does It Take to Become a Data Champion?		94
What’s in It for You?		95
The Challenges		95
5.2.	TU Delft Data Champions	98
The Glue that Holds the Community Together		99
Reward and Recognition: If They Make It ‘FAIR’ for Us, We Should Make It Fair for Them		99
Tweeting and Tagging		101
Final Thoughts and Future Steps		102
5.3.	Data Stewards at Wageningen University and Research	104
Meet the Team		105
From ‘Data Savvy’ to ‘Data Steward’		105
Measuring Cultural Change		106
6.	Dedicated Consultants to Offer One-to-One Support with Data	110
Subject-Specific Consultants Are an Add-On to ‘Traditional’ RDM Support at Large Institutions		110
‘Show Me the Money’		111
6.1.	Data Stewards at TU Delft: A Reality Check for Disciplinary RDM	112
Job Definition: Have Disciplinary Expertise in Data Management, Take Initiative and Be a People Person		113
Coordination Is Crucial to Create Operational Synergy		114
Institutional Support Is Needed for Implementation		114
6.2.	Cultural Change Happens One Person at a Time: Informatics Lab at Virginia Tech	116
Domain-Specific Consultants at the Informatics Lab		117
Research Background — A Double-Edged Sword?		118
Five Full-Time Employees Are Expensive — Are They Worth the Investment?		118
6.3.	Ever Heard of Five-Legged Sheep? Data Managers at Utrecht University Give Researchers a Leg-Up!	120
The Secret Ingredients Are People		122
7.	Interviews and Case Studies	126
7.1.	Showcasing Peers and their Good Practice: Researcher Interviews at Vrije Universiteit Amsterdam and Utrecht University	128
What Ingredients Do You Need to Get Started?		130
8.	Engage with Senior Researchers through Archiving	134
A Turnaround in Habit		134
8.1.	Soliciting Deposit and Preservation of University-Produced Research Data as Part of Broader Archives and Records Management Work	136
Don’t Forget about the Physical Data!		137
It’s about Shifting Perspectives		137
What the Future Holds		138
Confused about Where to Start? Foster Data Champions and Build upon Existing Services		138
8.2.	Starting at the End: Seniors’ Research Data Project at the UiT The Arctic University of Norway	140
What If You Start at the End?		141
How Do Senior Researchers Differ from Early-Career Researchers?		141
Targeting the Right People		142
Coming Out of Your Comfort Zone: A Tough Decision		142
Contributors144
List of Illustrations and Tables150

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