Managing Your Research Data And Documentation

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Managing Your Research Data and Documentation

Kathy R. Berenson
Managing Your Research Data and Documentation Book PDF

Author : Kathy R. Berenson
Publisher : Concise Guides to Conducting B
Page : 0 pages
File Size : 48,6 Mb
Release : 2018
Category : Psychology
ISBN : 1433827093

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Managing Your Research Data and Documentation by Kathy R. Berenson Pdf

Choice Reviews Outstanding Academic Title In the behavioral sciences today, there is increasing emphasis on transparency, and the need for research studies to be made replicable. This book presents a straightforward approach to managing and documenting one's data so that other researchers can repeat the study. While data management may seem intimidating to new researchers, this book shows how easy it can (and should!) be. The first chapter presents a basic structure of folders and subfolders for organizing data files, and then each subsequent chapter delves into details for a specific folder. Step by step, readers learn to label and archive different kinds of project documents and data files, including original, processed, and working data. Readers also learn to write command codes showing exactly how the original data are analyzed. Examples illustrate how to document the most common types of research (an online survey, a paper questionnaire, and a multiple-trial experiment). Since major research funders now require recipients to meet strict standards for data handling, this book will foster a vital career skill for students and promote transparency and replicability of research.

Managing and Sharing Research Data

Louise Corti,Veerle Van den Eynden,Libby Bishop,Matthew Woollard
Managing and Sharing Research Data Book PDF

Author : Louise Corti,Veerle Van den Eynden,Libby Bishop,Matthew Woollard
Publisher : SAGE
Page : 274 pages
File Size : 46,6 Mb
Release : 2014-02-04
Category : Social Science
ISBN : 9781446297735

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Managing and Sharing Research Data by Louise Corti,Veerle Van den Eynden,Libby Bishop,Matthew Woollard Pdf

Research funders in the UK, USA and across Europe are implementing data management and sharing policies to maximize openness of data, transparency and accountability of the research they support. Written by experts from the UK Data Archive with over 20 years experience, this book gives post-graduate students, researchers and research support staff the data management skills required in today’s changing research environment. The book features guidance on: how to plan your research using a data management checklist how to format and organize data how to store and transfer data research ethics and privacy in data sharing and intellectual property rights data strategies for collaborative research how to publish and cite data how to make use of other people’s research data, illustrated with six real-life case studies of data use.

Data Management for Researchers

Kristin Briney
Data Management for Researchers Book PDF

Author : Kristin Briney
Publisher : Pelagic Publishing Ltd
Page : 312 pages
File Size : 45,8 Mb
Release : 2015-09-01
Category : Computers
ISBN : 9781784270131

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Data Management for Researchers by Kristin Briney Pdf

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin

Research Data Management

Joyce M. Ray
Research Data Management Book PDF

Author : Joyce M. Ray
Publisher : Purdue University Press
Page : 448 pages
File Size : 45,5 Mb
Release : 2014
Category : Business & Economics
ISBN : 9781557536648

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Research Data Management by Joyce M. Ray Pdf

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.

Data Management for Researchers

Kristin Briney
Data Management for Researchers Book PDF

Author : Kristin Briney
Publisher : Unknown
Page : 0 pages
File Size : 41,6 Mb
Release : 2015
Category : Computers
ISBN : 1784270148

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Data Management for Researchers by Kristin Briney Pdf

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem - an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle - a framework for data's place within the research process and how data's role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management - covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data - an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data - explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis - covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data - many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage - deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data - digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data - addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data - as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." --Robert Buntrock, Chemical Information Bulletin

Designing and Managing Your Research Project

David Robert Thomas,Ian D Hodges
Designing and Managing Your Research Project Book PDF

Author : David Robert Thomas,Ian D Hodges
Publisher : SAGE Publications
Page : 265 pages
File Size : 55,7 Mb
Release : 2010-10-04
Category : Social Science
ISBN : 9781848601932

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Designing and Managing Your Research Project by David Robert Thomas,Ian D Hodges Pdf

This book provides information about the key areas needed for a successful project. It includes software skills, developing research objectives, writing proposals, literature reviews, getting ethics approval, seeking funding, managing a project, communicating research findings, and writing reports. There is also a chapter on working as an independent researcher. The book includes numerous examples, checklists, and practical exercises designed to assist the learning of research skills and the completion of crucial project tasks. It covers procedures needed for conducting projects electronically and accessing information from the Internet.

The Open Handbook of Linguistic Data Management

Andrea L. Berez-Kroeker,Bradley McDonnell,Eve Koller,Lauren B. Collister
The Open Handbook of Linguistic Data Management Book PDF

Author : Andrea L. Berez-Kroeker,Bradley McDonnell,Eve Koller,Lauren B. Collister
Publisher : MIT Press
Page : 687 pages
File Size : 42,9 Mb
Release : 2022-01-18
Category : Language Arts & Disciplines
ISBN : 9780262045261

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The Open Handbook of Linguistic Data Management by Andrea L. Berez-Kroeker,Bradley McDonnell,Eve Koller,Lauren B. Collister Pdf

A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data. "Doing language science" depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward the transformation of linguistics into a more data-driven and reproducible scientific endeavor. It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case studies, each of which demonstrates a concrete application of abstract principles in a current practice. In part 1, contributors bring together knowledge from information science, archiving, and data stewardship relevant to linguistic data management. Topics covered include implementation principles, archiving data, finding and using datasets, and the valuation of time and effort involved in data management. Part 2 presents snapshots of practices across various subfields, with each chapter presenting a unique data management project with generalizable guidance for researchers. The Open Handbook of Linguistic Data Management is an essential addition to the toolkit of every linguist, guiding researchers toward making their data FAIR: Findable, Accessible, Interoperable, and Reusable.

Managing Research Data

Graham Pryor
Managing Research Data Book PDF

Author : Graham Pryor
Publisher : Facet Publishing
Page : 257 pages
File Size : 48,6 Mb
Release : 2012-01-20
Category : Language Arts & Disciplines
ISBN : 9781856047562

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Managing Research Data by Graham Pryor Pdf

This title defines what is required to achieve a culture of effective data management offering advice on the skills required, legal and contractual obligations, strategies and management plans and the data management infrastructure of specialists and services. Data management has become an essential requirement for information professionals over the last decade, particularly for those supporting the higher education research community, as more and more digital information is created and stored. As budgets shrink and funders of research demand evidence of value for money and demonstrable benefits for society, there is increasing pressure to provide plans for the sustainable management of data. Ensuring that important data remains discoverable, accessible and intelligible and is shared as part of a larger web of knowledge will mean that research has a life beyond its initial purpose and can offer real utility to the wider community. This edited collection, bringing together leading figures in the field from the UK and around the world, provides an introduction to all the key data issues facing the HE and information management communities. Each chapter covers a critical element of data management: • Why manage research data? • The lifecycle of data management • Research data policies: principles, requirements and trends • Sustainable research data • Data management plans and planning • Roles and responsibilities – libraries, librarians and data • Research data management: opportunities and challenges for HEIs • The national data centres • Contrasting national research data strategies: Australia and the USA • Emerging infrastructure and services for research data management and curation in the UK and Europe Readership: This is essential reading for librarians and information professionals working in the higher education sector, the research community, policy makers and university managers. It will also be a useful introduction for students taking courses in information management, archivists and national library services.

Teaching Research Data Management

Julia Bauder
Teaching Research Data Management Book PDF

Author : Julia Bauder
Publisher : ALA Editions
Page : 224 pages
File Size : 48,9 Mb
Release : 2022-01-03
Category : Electronic
ISBN : 0838937977

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Teaching Research Data Management by Julia Bauder Pdf

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

Andrew Cox,Eddy Verbaan
Exploring Research Data Management Book PDF

Author : Andrew Cox,Eddy Verbaan
Publisher : Facet Publishing
Page : 208 pages
File Size : 42,5 Mb
Release : 2018-05-11
Category : Business & Economics
ISBN : 9781783302802

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Exploring Research Data Management by Andrew Cox,Eddy Verbaan Pdf

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.

Nursing and Healthcare Research at a Glance

Alan Glasper,Colin Rees
Nursing and Healthcare Research at a Glance Book PDF

Author : Alan Glasper,Colin Rees
Publisher : John Wiley & Sons
Page : 43 pages
File Size : 53,9 Mb
Release : 2016-08-29
Category : Medical
ISBN : 9781118778791

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Nursing and Healthcare Research at a Glance by Alan Glasper,Colin Rees Pdf

Nursing and Healthcare Research at a Glance is perfect for nursing and healthcare students, as well as newly qualified practitioners and anyone looking for a refresher or introduction to research. Covering a broad range of topics gathered under key sections, this essential book combines informative diagrams and images to provide memorable information for students on one page, and accessible, clearly written text on the facing page. It includes information on a range of quantitative and qualitative research methods, the process of gaining ethical permission, conducting research with special groups including children, and successfully conducting reviews of the literature. Key features include: Clear and informative full colour illustrations throughout An emphasis on need-to-know research information for busy students and healthcare staff A wide range of research methods, currently used in modern healthcare research An impressive line-up of specialist and well-known experts in the field of health and nursing research This book provides quick access to the principles and reality of research and its implementation within the education and practice environment. It is essential reading for anyone in health service education and service settings with limited time who need to draw on research evidence.

Data Management in Large-Scale Education Research

Crystal Lewis
Data Management in Large Scale Education Research Book PDF

Author : Crystal Lewis
Publisher : CRC Press
Page : 278 pages
File Size : 41,9 Mb
Release : 2024-07-09
Category : Mathematics
ISBN : 9781040045824

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Data Management in Large-Scale Education Research by Crystal Lewis Pdf

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

Managing and Sharing Research Data

Louise Corti,Veerle Van den Eynden,Libby Bishop,Matthew Woollard
Managing and Sharing Research Data Book PDF

Author : Louise Corti,Veerle Van den Eynden,Libby Bishop,Matthew Woollard
Publisher : SAGE
Page : 240 pages
File Size : 54,8 Mb
Release : 2014-03-01
Category : Social Science
ISBN : 9781446297742

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Managing and Sharing Research Data by Louise Corti,Veerle Van den Eynden,Libby Bishop,Matthew Woollard Pdf

Research funders in the UK, USA and across Europe are implementing data management and sharing policies to maximize openness of data, transparency and accountability of the research they support. Written by experts from the UK Data Archive with over 20 years experience, this book gives post-graduate students, researchers and research support staff the data management skills required in today's changing research environment. The book features guidance on: how to plan your research using a data management checklist how to format and organize data how to store and transfer data research ethics and privacy in data sharing and intellectual property rights data strategies for collaborative research how to publish and cite data how to make use of other people's research data, illustrated with six real-life case studies of data use.

Organizing and Managing Your Research

Renata Phelps,Kath Fisher,Allan Ellis
Organizing and Managing Your Research Book PDF

Author : Renata Phelps,Kath Fisher,Allan Ellis
Publisher : SAGE
Page : 308 pages
File Size : 43,5 Mb
Release : 2007-02-22
Category : Psychology
ISBN : 1412920647

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Organizing and Managing Your Research by Renata Phelps,Kath Fisher,Allan Ellis Pdf

'Organizing and Managing Your Research' deals with the practical, day-to-day aspects of managing and organizing research. Its focus is on strategies, skills and systems that increase the efficiency and effectiveness of research practice across all disciplines.

The Sage Handbook of Survey Development and Application

Lucy R. Ford,Terri A. Scandura
The Sage Handbook of Survey Development and Application Book PDF

Author : Lucy R. Ford,Terri A. Scandura
Publisher : SAGE Publications Limited
Page : 512 pages
File Size : 51,8 Mb
Release : 2023-06-29
Category : Social Science
ISBN : 9781529618624

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The Sage Handbook of Survey Development and Application by Lucy R. Ford,Terri A. Scandura Pdf

The SAGE Handbook of Survey Development and Application provides a practical resource that researchers can go to for cutting-edge tools to ensure they are employing the best survey research techniques. This handbook not only covers the classic and innovational skills and approaches involved at every step of the survey research process, but also centres itself around applied, how-to guidance to aid readers in best practice. Chapters engage with a broad range of topics including sampling issues, approaches to establishment of measurement equivalence, and the use of online labour pools in survey development. With contributions from a global community of leading and emerging scholars across a wide variety of disciplines, this Handbook is focused on being applicable and accessible across the social sciences. Containing over 120 tables and figures, checklists and tutorial guides, The SAGE Handbook of Survey Development and Application will serve as a one stop resource for survey research. This handbook serves as a touchstone for a variety of fields such as Organizational Behavior, Industrial & Organizational Psychology, Management, Psychology, Educational Research, Marketing, Public Policy, and others. PART 1: Conceptual Issues and Operational Definition PART 2: Research Design Considerations PART 3: Item Development PART 4: Scale Improvement Methods PART 5: Data Collection PART 6: Data Management and Analysis PART 7: Research Production and Dissemination PART 8: Applications