Research Data Management and Data Literacies help researchers familiarize themselves with RDM, and with the services increasingly offered by libraries. This new volume looks at data-intensive science, or ‘Science 2.0’ as it is sometimes termed in commentary, from a number of perspectives, including the tasks academic libraries need to fulfil, new services that will come online in the near future, data literacy and its relation to other literacies, research support and the need to connect researchers across the academy, and other key issues, such as ‘data deluge,’ the importance of citations, metadata and data repositories.
This book presents a solid resource that contextualizes RDM, including good theory and practice for researchers and professionals who find themselves tasked with managing research data.
- Gives guidance on organizing, storing, preserving and sharing research data using Research Data Management (RDM)
- Contextualizes RDM within the global shift to data-intensive research
- Helps researchers and information professionals understand and optimize data-intensive ways of working
- Considers RDM in relation to varying needs of researchers across the sciences and humanities
- Presents key issues surrounding RDM, including data literacy, citations, metadata and data repositories
Arvustused
"I particularly liked Koltays discussion of the data librarianship role and the differences between data and information (pp. 154-155). Starting from that point might inspire you to then delve into the theoretical discussions of those concepts in earlier chapters....
It might be useful for readers to note that this book is an extension of Koltays previous book Research 2.0 and the future of information literacy (2016), which addressed the types of literacies relevant to researchers, particularly information literacy. While Research data management and data literacies takes this one step further into data management, it continues the theme that librarians should be involved in supporting and educating researchers." --Mary Coe, JALIA
| Acknowledgments |
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vii | |
| Introduction |
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ix | |
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1 Information, data, text, document Introduction |
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1 | (14) |
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Differing approaches to data and information |
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3 | (8) |
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11 | (3) |
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14 | (1) |
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2 Information and data ecologies Introduction |
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15 | (34) |
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Open science and open data |
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15 | (14) |
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29 | (1) |
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Data papers and data journals |
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29 | (2) |
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Openness through citing research data and using alternative indicators |
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31 | (3) |
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Other issues of the information ecosystem |
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34 | (7) |
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41 | (6) |
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47 | (2) |
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3 Data quality, the essential "ingredient" Introduction |
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49 | (28) |
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The nature of research data quality |
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50 | (1) |
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51 | (2) |
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53 | (9) |
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62 | (2) |
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64 | (6) |
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70 | (1) |
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70 | (5) |
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75 | (2) |
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4 Research data management Introduction |
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77 | (32) |
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The nature of research data management |
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78 | (9) |
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Planning and building RDM services |
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87 | (8) |
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95 | (2) |
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97 | (3) |
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RDM and research support services |
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100 | (1) |
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101 | (1) |
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102 | (6) |
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108 | (1) |
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5 New literacies in the age of convergence Introduction |
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109 | (36) |
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109 | (1) |
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From information literacy to data literacy |
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110 | (22) |
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Other relevant literacies |
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132 | (4) |
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136 | (1) |
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137 | (6) |
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143 | (2) |
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6 Roles and education of information and data professionals Information and data professionals in academic libraries and beyond |
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145 | (36) |
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Research data management education |
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157 | (3) |
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Education tor data literacy |
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160 | (5) |
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Similarities and convergences in the pedagogical approaches to the education for literacies |
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165 | (9) |
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174 | (7) |
| Index |
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181 | |
Tibor Koltay is a Professor at the Eszterházy Károly University, in the Institute of Learning Technologies, Hungary. His research interests include information literacy and data literacy, Research Data Management (RDM), and information overload. He has served as a committee member for international conferences, sits on the editorial board for several journals in library and information science, and is widely published.
