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Teaching Research Data Management

Author: Julia Bauder

Publisher: ALA Editions

Published: 2022-01-03

Total Pages: 224

ISBN-13: 9780838937976

Armed with this guide's strategies and concrete examples, subject librarians, data services librarians, and scholarly communication librarians will be inspired to roll up their sleeves and get involved with teaching research data management competencies to students and faculty. The usefulness of research data management skills bridges numerous activities, from data-driven scholarship and open research by faculty to documentation for grant reporting. And undergrads need a solid foundation in data management for future academic success. This collection gathers practitioners from a broad range of academic libraries to describe their services and instruction around research data. You will learn about such topics as integrating research data management into information literacy instruction; threshold concepts for novice learners of data management; four key competencies that are entry points for library-faculty collaboration in data instruction; an 8-step plan for outreach to faculty and grad students in engineering and the sciences; using RStudio to teach data management, data visualization, and research reproducibility; expanding data management instruction with adaptable modules for remote learning; designing a data management workshop series; developing a research guide on data types, open data repositories, and data storage; creating a data management plan assignment for STEM undergraduates; and data management training to ensure compliance with grant requirements.

Exploring Research Data Management

Author: Andrew Cox

Publisher: Facet Publishing

Published: 2018-05-11

Total Pages: 208

ISBN-13: 1783302801

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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.

Information, Knowledge, and Technology for Teaching and Research in Africa

Author: Dennis Ocholla

Publisher: Springer Nature

Published:

Total Pages: 131

ISBN-13: 3031590538

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Research Data Management

Author: Joyce M. Ray

Publisher: Purdue University Press

Published: 2014

Total Pages: 448

ISBN-13: 1557536643

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It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximize the return on investment of public funds. To meet this challenge, colleges and universities are adding data services to existing infrastructures by drawing on the expertise of information professionals who are already involved in the acquisition, management and preservation of data in their daily jobs. Data services include planning and implementing good data management practices, thereby increasing researchers' ability to compete for grant funding and ensuring that data collections with continuing value are preserved for reuse. This volume provides a framework to guide information professionals in academic libraries, presses, and data centers through the process of managing research data from the planning stages through the life of a grant project and beyond. It illustrates principles of good practice with use-case examples and illuminates promising data service models through case studies of innovative, successful projects and collaborations.

100 Activities for Teaching Research Methods

Author: Catherine Dawson

Publisher: SAGE

Published: 2016-08-08

Total Pages: 385

ISBN-13: 1473987407

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A sourcebook of exercises, games, scenarios and role plays, this practical, user-friendly guide provides a complete and valuable resource for research methods tutors, teachers and lecturers. Developed to complement and enhance existing course materials, the 100 ready-to-use activities encourage innovative and engaging classroom practice in seven areas: finding and using sources of information planning a research project conducting research using and analyzing data disseminating results acting ethically developing deeper research skills. Each of the activities is divided into a section on tutor notes and student handouts. Tutor notes contain clear guidance about the purpose, level and type of activity, along with a range of discussion notes that signpost key issues and research insights. Important terms, related activities and further reading suggestions are also included. Not only does the A4 format make the student handouts easy to photocopy, they are also available to download and print directly from the book’s companion website for easy distribution in class.

The Medical Library Association Guide to Data Management for Librarians

Author: Lisa Federer

Publisher: Rowman & Littlefield

Published: 2016-09-15

Total Pages: 243

ISBN-13: 1442264284

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Technological advances and the rise of collaborative, interdisciplinary approaches have changed the practice of research. The 21st century researcher not only faces the challenge of managing increasingly complex datasets, but also new data sharing requirements from funders and journals. Success in today’s research enterprise requires an understanding of how to work effectively with data, yet most researchers have never had any formal training in data management. Libraries have begun developing services and programs to help researchers meet the demands of the data-driven research enterprise, giving librarians exciting new opportunities to use their expertise and skills. The Medical Library Association Guide to Data Management for Librarians highlights the many ways that librarians are addressing researchers’ changing needs at a variety of institutions, including academic, hospital, and government libraries. Each chapter ends with “pearls of wisdom,” a bulleted list of 5-10 takeaway messages from the chapter that will help readers quickly put the ideas from the chapter into practice. From theoretical foundations to practical applications, this book provides a background for librarians who are new to data management as well as new ideas and approaches for experienced data librarians.

Research Data Management and Data Literacies

Author: Koltay Tibor

Publisher: Chandos Publishing

Published: 2021-10-31

Total Pages: 198

ISBN-13: 0323860028

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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

Data Management in Large-Scale Education Research

Author: Crystal Lewis

Publisher: CRC Press

Published: 2024-07-09

Total Pages: 278

ISBN-13: 1040045820

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Research data management is becoming more complicated. Researchers are collecting more data, using more complex technologies, all the while increasing the visibility of our work with the push for data sharing and open science practices. Ad hoc data management practices may have worked for us in the past, but now others need to understand our processes as well, requiring researchers to be more thoughtful in planning their data management routines. This book is for anyone involved in a research study involving original data collection. While the book focuses on quantitative data, typically collected from human participants, many of the practices covered can apply to other types of data as well. The book contains foundational context, instructions, and practical examples to help researchers in the field of education begin to understand how to create data management workflows for large-scale, typically federally funded, research studies. The book starts by describing the research life cycle and how data management fits within this larger picture. The remaining chapters are then organized by each phase of the life cycle, with examples of best practices provided for each phase. Finally, considerations on whether the reader should implement, and how to integrate those practices into a workflow, are discussed. Key Features: Provides a holistic approach to the research life cycle, showing how project management and data management processes work in parallel and collaboratively Can be read in its entirety, or referenced as needed throughout the life cycle Includes relatable examples specific to education research Includes a discussion on how to organize and document data in preparation for data sharing requirements Contains links to example documents as well as templates to help readers implement practices

100 Activities for Teaching Research Ethics and Integrity

Author: Catherine Dawson

Publisher: SAGE

Published: 2022-07-23

Total Pages: 509

ISBN-13: 1529785707

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This practical, user-friendly guide consists of 100 original activities that have been designed to inspire and support educators of research ethics and integrity at undergraduate and postgraduate level. Focussing on eight key areas, activities include: • Respecting human dignity, privacy and rights • Obtaining informed consent in the digital world • Capturing data on sexual orientation and gender identity • Recognizing and addressing bias when collecting data • Creating social change through research practice • Assessing the ethical implications of data sharing. Complete with detailed teaching notes and downloadable student handouts, as well as guidance on the type and level of each activity, 100 Activities for Teaching Research Ethics and Integrity is an essential resource for both online and face-to-face teaching.