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Engaging Researchers with Data Management: The Cookbook
More info and resources at: https://www.openbookpublishers.com/product/1080

Contents

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