Research Data Management and Data Literacies
- 1st Edition - November 4, 2021
- Latest edition
- Author: Koltay Tibor
- Language: English
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… Read more
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
Researchers and professionals who find themselves tasked with managing research data
Introduction
The growing importance and challenges of using digital data in research
Big data, small data, the lack of data, smart data
Changing views on the nature of data
The pyramid of hierarchical views
Is data identical with information?
Open data, research data
The age of new literacies
Converging literacies
Technological and sociocultural convergences
Information literacy
Media literacy
Media and Information Literacy
Overarching literacies and multiliteracies
“Mother and child” information literacy and data literacy
Similarities and differences
“Brothers in arms” data literacy and research data literacy
Lifelong, transversal learning skills, or not?
Data literacy
Information literacy and data literacy
Literacies in the post-truth society
Personal information management and data management as literacies
Information overload and data overload
Critical data literacy
Research Data Management
Planning for data management
The data lifecycle
Data creation
Data organization
Access to data
Data sharing reuse, repurposing
The role of Data Management Plans
Data storage
Data repositories
Data quality, the essential “ingredient”
Big Data quality
The role of data governance
Data librarians and data scientists
Are they competing professions? (Shared methods and differences)
Data literacy and data science
Data curators, data stewards
The educational background
Research Data Management training
Education for data literacy?
SoTL. Applying the Scholarship of Teaching and Learning
Constructivist approaches to teaching
Making use of phenomenography, discourse analysis
The “best fit”: Sociocultural theories
Some educational programs and curricula
- Edition: 1
- Latest edition
- Published: November 4, 2021
- Language: English
KT
Koltay Tibor
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.
Affiliations and expertise
Professor, Eszterházy Károly University, Institute of Learning Technologies, HungaryRead Research Data Management and Data Literacies on ScienceDirect