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Exploring Research Data Management [Pehme köide]

3.33/5 (6 hinnangut Goodreads-ist)
(Birmingham University, UK), (University of Nottingham, UK.)
  • Formaat: Paperback / softback, 208 pages, kõrgus x laius x paksus: 233x159x12 mm, kaal: 144 g
  • Ilmumisaeg: 11-May-2018
  • Kirjastus: Facet Publishing
  • ISBN-10: 178330278X
  • ISBN-13: 9781783302789
Teised raamatud teemal:
Exploring Research Data ManagementSuurem pilt
  • Formaat: Paperback / softback, 208 pages, kõrgus x laius x paksus: 233x159x12 mm, kaal: 144 g
  • Ilmumisaeg: 11-May-2018
  • Kirjastus: Facet Publishing
  • ISBN-10: 178330278X
  • ISBN-13: 9781783302789
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781783302789.html
Märksõnad:
Research Data Management (RDM) has become a professional topic of great importance internationally following changes in scholarship and government policies about the sharing of research data. Exploring Research Data Management provides an accessible introduction and guide to RDM with engaging tasks for the reader to follow and develop their knowledge. Starting by exploring the world of research and the importance and complexity of data in the research process, the book considers how a multi-professional support service can be created then examines the decisions that need to be made in designing different types of research data service from local policy creation, training, through to creating a data repository. Coverage includes:





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 Case studies and practical advice from working in a Research Data Service.

This book will be useful reading for librarians and other support professionals who are interested in learning more about RDM and developing Research Data Services in their own institution. It will also be of value to students on librarianship, archives, and information management courses studying topics such as RDM, digital curation, data literacies and open science.

Arvustused

'Cox and Verbaan have produced a work that provides a fantastic starting point for anyone interested or invested in RDM, and one that is extremely well rounded and thoughtful.'- Gemma Steele, Museums Victoria, Journal of the Australian Library and Information Association * Journal of the Australian Library and Information Association * 'Exploring Research Data Management, written by Andrew Cox and Eddy Verbaan, is a book that anyone interested in Research Data Management (RDM) should read. Its aim is to give an introduction and guide to RDM together with engaging tasks that will help readers to understand practically the various procedures involvedThis book would be of interest for Library Science students to show them how RDM is becoming more and more important and what librarians can do to contribute to research processes and scholarly communication.' -- Concetta La Spada * Catalogue & Index *

List of tables and figures
xi
1 Introducing research data management
1(10)
Aims
1(1)
A thought experiment
1(3)
RDM
4(1)
Why is RDM important now?
5(1)
What does the practice of supporting RDM actually involve?
6(1)
Who is this book for?
6(1)
About the book
7(2)
Further reading
9(2)
2 The social worlds of research
11(8)
Aims
11(1)
Introduction
11(1)
The research landscape
11(2)
The organisation of research
13(3)
The research lifecycle
16(1)
The experience of research: research and identity
16(2)
Further reading
18(1)
3 What are research data?
19(14)
Aims
19(1)
Research data are important to (some) researchers
19(2)
Types of research data
21(1)
Some definitions of research data
22(3)
Data collections
25(1)
Data lifecycles
26(1)
Research data is complex
27(3)
Information management and RDM
30(1)
Further reading
30(3)
4 Case study of RDM in an environmental engineering science project
33(8)
Aims
33(1)
The project
33(1)
The research method
34(1)
The data
35(2)
The challenge of metadata
37(1)
The need to foster a culture around metadata
37(1)
Data sharing
38(1)
Talking to researchers
39(1)
Further reading
40(1)
5 RDM: drivers and barriers
41(16)
Aims
41(1)
Introduction
41(1)
E-research
42(1)
The `crisis of reproducibility'
43(2)
Open science
45(1)
Government and funder policy
46(2)
Policy developments
48(2)
Journal policies
50(1)
FAIR data principles
50(1)
Data citation
51(1)
RDM and the new public management
52(1)
Drivers and barriers
53(2)
Further reading
55(2)
6 RDM as a wicked challenge
57(10)
Aims
57(1)
Types of problem
57(1)
The wicked challenge concept
58(2)
Is RDM wicked?
60(2)
Leadership in a wicked challenge context
62(2)
Further reading
64(3)
7 Research data services
67(8)
Aims
67(1)
Research data services (RDS)
67(2)
Vision, mission, strategy and governance
69(2)
Stakeholders
71(1)
Supporting research
71(2)
Further reading
73(2)
8 Staffing a research data service
75(10)
Aims
75(1)
New activities and roles
75(4)
Who does what?
79(2)
The collaborative research data service
81(1)
New skills and roles
82(1)
Further reading
83(2)
9 Requirements gathering for a research data service
85(10)
Aims
85(1)
Finding out more about an institution
85(1)
Surveys
86(6)
Interviews and focus groups
92(1)
Further reading
93(2)
10 Institutional policy and the business case for research data services
95(6)
Aims
95(1)
Writing a policy
95(1)
Developing a policy
95(2)
Content of a policy
97(2)
Layout and style
99(1)
Using and updating the RDM policy
100(1)
11 Support and advice for RDM
101(6)
Aims
101(1)
Offering support and advice
101(1)
Making the RDS visible
102(1)
Frequently asked questions
103(2)
The RDM website
105(1)
Key challenges for advice and support
106(1)
12 Practical data management
107(8)
Aims
107(1)
Introduction
107(4)
Risks and risk management
111(1)
File organisation and naming
112(1)
Back-ups of active data
113(1)
Promoting practical data management
113(1)
Further reading
113(2)
13 Data management planning
115(10)
Aims
115(1)
The data management plan
115(1)
The benefits of DMPs
116(1)
The content of a DMP
117(2)
Reading an example DMP
119(2)
Common pitfalls
121(1)
Supporting data management planning
121(2)
Further reading
123(2)
14 Advocacy for data management and sharing
125(14)
Aims
125(1)
Introduction
125(2)
Drivers for data sharing
127(1)
What should researchers do to promote data use and re-use?
128(1)
Panda talk
129(3)
Some responses
132(3)
Changing the culture
135(1)
Further reading
136(3)
15 Training researchers and data literacy
139(8)
Aims
139(1)
Introduction
139(1)
Step 1 Who is the training for?
140(1)
Step 2 What topics need to be covered?
141(1)
Step 3 Who should deliver the training?
142(1)
Step 4 How should the training be delivered?
142(2)
Making and re-using educational resources
144(1)
Step 5 How is the training to be made engaging?
144(1)
Step 6 Evaluating training
144(1)
Getting the right mix
145(1)
Further reading
146(1)
16 Infrastructure for research data storage and preservation
147(12)
Aims
147(1)
Technical infrastructure
147(1)
The repository
148(1)
Selecting data for deposit
149(3)
Preparing data: metadata and documentation
152(2)
Preparing data: file formats
154(1)
Ingest
154(1)
Providing access to consumers
155(2)
Further reading
157(2)
17 Evaluation of RDS
159(14)
Aims
159(1)
Introduction
159(2)
Principles of evaluation
161(1)
Measuring impact
162(4)
A balanced scorecard approach
166(1)
Maturity models
167(3)
Further reading
170(3)
18 Ethics and research data services
173(6)
Aims
173(1)
An ethical service
173(1)
Research ethics
174(1)
Dilemmas for RDS
175(1)
Ethics in professional relationships
176(1)
Further reading
177(2)
19 A day in the life working in an RDS
179(8)
Aims
179(1)
RDM in practice
179(1)
Strategic development
179(2)
Advocacy, training and support
181(1)
Repository work
182(2)
RDM day to day
184(3)
20 Conclusion: the skills and mindset to succeed in RDM
187(8)
Aim
187(1)
Working in RDM
187(2)
Your career plan and RDM
189(3)
Keeping up to date
192(3)
Index 195
Andrew Cox is a senior lecturer at the Information School, University of Sheffield and led the RDMRose Project. His research interests include virtual community, social media and library responses to technology. He coordinates Sheffields MSc in Digital Library Management.

Eddy Verbaan is Head of Library Research Support at Sheffield Hallam University. He established a Research Data Management infrastructure at Sheffield Hallam University and worked as a Research Associate at the Information School, The University of Sheffield, on RDM-related projects. He has a PhD in history and an MSc in Digital Library Management.