Research Data Management - A European Perspective

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Release : 2017-12-04
Genre : Language Arts & Disciplines
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Book Rating : 068/5 ( reviews)

Research Data Management - A European Perspective - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Research Data Management - A European Perspective write by Filip Kruse. This book was released on 2017-12-04. Research Data Management - A European Perspective available in PDF, EPUB and Kindle. Based on case studies this book offers an insight in various European activities and practices in data management and their interaction with policies and programs. The latter form the background for the following case studies, provide the conceptual framework, at the same time giving an exhaustive understanding of the specific subjects. The case studies share common themes and give a concrete insight into vital issues such as web archiving, digitization of analog archives, researchers’ motivations for sharing data, and how libraries, archives and researchers can collaborate in creating research tools and services.

Research Data Management - A European Perspective

Download Research Data Management - A European Perspective PDF Online Free

Author :
Release : 2017
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Book Rating : 641/5 ( reviews)

Research Data Management - A European Perspective - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Research Data Management - A European Perspective write by Filip Kruse. This book was released on 2017. Research Data Management - A European Perspective available in PDF, EPUB and Kindle.

Managing Research Data

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Release : 2012-01-20
Genre : Language Arts & Disciplines
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Book Rating : 563/5 ( reviews)

Managing Research Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Managing Research Data write by Graham Pryor. This book was released on 2012-01-20. Managing Research Data available in PDF, EPUB and Kindle. 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.

Engaging Researchers with Data Management: The Cookbook

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Release : 2019-10-09
Genre : Computers
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Book Rating : 001/5 ( reviews)

Engaging Researchers with Data Management: The Cookbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Engaging Researchers with Data Management: The Cookbook write by Connie Clare. This book was released on 2019-10-09. Engaging Researchers with Data Management: The Cookbook available in PDF, EPUB and Kindle. Effective Research Data Management (RDM) is a key component of research integrity and reproducible research, and its importance is increasingly emphasised by funding bodies, governments, and research institutions around the world. However, many researchers are unfamiliar with RDM best practices, and research support staff are faced with the difficult task of delivering support to researchers across different disciplines and career stages. What strategies can institutions use to solve these problems? Engaging Researchers with Data Management is an invaluable collection of 24 case studies, drawn from institutions across the globe, that demonstrate clearly and practically how to engage the research community with RDM. These case studies together illustrate the variety of innovative strategies research institutions have developed to engage with their researchers about managing research data. Each study is presented concisely and clearly, highlighting the essential ingredients that led to its success and challenges encountered along the way. By interviewing key staff about their experiences and the organisational context, the authors of this book have created an essential resource for organisations looking to increase engagement with their research communities. This handbook is a collaboration by research institutions, for research institutions. It aims not only to inspire and engage, but also to help drive cultural change towards better data management. It has been written for anyone interested in RDM, or simply, good research practice.

Data Management for Researchers

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Release : 2015-09-01
Genre : Computers
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Book Rating : 13X/5 ( reviews)

Data Management for Researchers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Management for Researchers write by Kristin Briney. This book was released on 2015-09-01. Data Management for Researchers available in PDF, EPUB and Kindle. 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