Engaging Researchers with Data Management: The CookbookMore info and resources at: https://doi.org/10.11647/obp.0185
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
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
‘One Size’ Does Not Fit All
26
Why Does this Kind of Engagement Take Time?
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
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
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
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
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
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
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
4.2.
DuoDi: The ‘Days of Data’ at Vilnius University
74
Library Services from a Business Perspective
75
Success and the Need to Grow
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?
If You Want to Talk about Data, Allow Time for Talking
80
Community Building and Cultural Change
‘FAIL’ Means ‘First Attempt In Learning’
81
4.4.
Starting New Data Conversations at Vrije Universiteit Amsterdam
82
Getting the Timing Right
83
Good Connections Mean a Lot
An Engaging Event Is Not the Same as Community Building
Keep Calm and Get Started
84
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?
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
5.1.
Data Champion Programme at the University of Cambridge
92
Establishing a Data Champions Network
93
Growth of a Community
What Does It Take to Become a Data Champion?
94
What’s in It for You?
95
The Challenges
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
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’
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
‘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
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?
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
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
What the Future Holds
138
Confused about Where to Start? Foster Data Champions and Build upon Existing Services
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?
Targeting the Right People
142
Coming Out of Your Comfort Zone: A Tough Decision
Contributors144
List of Illustrations and Tables150