Managing Scientific Information and Research Data

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Author :
Publisher : Chandos Publishing
ISBN 13 : 0081002378
Total Pages : 162 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Managing Scientific Information and Research Data by : Svetla Baykoucheva

Download or read book Managing Scientific Information and Research Data written by Svetla Baykoucheva and published by Chandos Publishing. This book was released on 2015-07-14 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovative technologies are changing the way research is performed, preserved, and communicated. Managing Scientific Information and Research Data explores how these technologies are used and provides detailed analysis of the approaches and tools developed to manage scientific information and data. Following an introduction, the book is then divided into 15 chapters discussing the changes in scientific communication; new models of publishing and peer review; ethics in scientific communication; preservation of data; discovery tools; discipline-specific practices of researchers for gathering and using scientific information; academic social networks; bibliographic management tools; information literacy and the information needs of students and researchers; the involvement of academic libraries in eScience and the new opportunities it presents to librarians; and interviews with experts in scientific information and publishing. Promotes innovative technologies for creating, sharing and managing scientific content Presents new models of scientific publishing, peer review, and dissemination of information Serves as a practical guide for researchers, students, and librarians on how to discover, filter, and manage scientific information Advocates for the adoption of unique author identifiers such as ORCID and ResearcherID Looks into new tools that make scientific information easy to discover and manage Shows what eScience is and why it is becoming a priority for academic libraries Demonstrates how Electronic Laboratory Notebooks can be used to record, store, share, and manage research data Shows how social media and the new area of Altmetrics increase researchers’ visibility and measure attention to their research Directs to sources for datasets Provides directions on choosing and using bibliographic management tools Critically examines the metrics used to evaluate research impact Aids strategic thinking and informs decision making

Research Data Management

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Publisher : Purdue University Press
ISBN 13 : 1557536643
Total Pages : 448 pages
Book Rating : 4.5/5 (575 download)

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Book Synopsis Research Data Management by : Joyce M. Ray

Download or read book Research Data Management written by Joyce M. Ray and published by Purdue University Press. This book was released on 2014 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bioinformatics

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Publisher : Academic Press
ISBN 13 : 155860829X
Total Pages : 466 pages
Book Rating : 4.5/5 (586 download)

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Book Synopsis Bioinformatics by : Zoé Lacroix

Download or read book Bioinformatics written by Zoé Lacroix and published by Academic Press. This book was released on 2003-07-18 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: The heart of the book lies in the collaboration efforts of eight distinct bioinformatics teams that describe their own unique approaches to data integration and interoperability. Each system receives its own chapter where the lead contributors provide precious insight into the specific problems being addressed by the system, why the particular architecture was chosen, and details on the system's strengths and weaknesses. In closing, the editors provide important criteria for evaluating these systems that bioinformatics professionals will find valuable. * Provides a clear overview of the state-of-the-art in data integration and interoperability in genomics, highlighting a variety of systems and giving insight into the strengths and weaknesses of their different approaches.-

Data Management for Researchers

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Author :
Publisher : Pelagic Publishing Ltd
ISBN 13 : 178427013X
Total Pages : 312 pages
Book Rating : 4.7/5 (842 download)

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Book Synopsis Data Management for Researchers by : Kristin Briney

Download or read book Data Management for Researchers written by Kristin Briney and published by Pelagic Publishing Ltd. This book was released on 2015-09-01 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Management for Researchers

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Author :
Publisher :
ISBN 13 : 9781784270308
Total Pages : 0 pages
Book Rating : 4.2/5 (73 download)

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Book Synopsis Data Management for Researchers by : Kristin Briney

Download or read book Data Management for Researchers written by Kristin Briney and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Scientific Data Management

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Author :
Publisher : Chapman and Hall/CRC
ISBN 13 : 9781420069808
Total Pages : 0 pages
Book Rating : 4.0/5 (698 download)

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Book Synopsis Scientific Data Management by : Arie Shoshani

Download or read book Scientific Data Management written by Arie Shoshani and published by Chapman and Hall/CRC. This book was released on 2009-12-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive time. Scientific Data Management: Challenges, Technology, and Deployment describes cutting-edge technologies and solutions for managing and analyzing vast amounts of data, helping scientists focus on their scientific goals. The book begins with coverage of efficient storage systems, discussing how to write and read large volumes of data without slowing the simulation, analysis, or visualization processes. It then focuses on the efficient data movement and management of storage spaces and explores emerging database systems for scientific data. The book also addresses how to best organize data for analysis purposes, how to effectively conduct searches over large datasets, how to successfully automate multistep scientific process workflows, and how to automatically collect metadata and lineage information. This book provides a comprehensive understanding of the latest techniques for managing data during scientific exploration processes, from data generation to data analysis. Enhanced by numerous detailed color images, it includes real-world examples of applications drawn from biology, ecology, geology, climatology, and more. Check out Dr. Shoshani discuss the book during an interview with International Science Grid This Week (iSGTW): http://www.isgtw.org/?pid=1002259

Planning and Managing Scientific Research

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Publisher : ANU E Press
ISBN 13 : 1925021599
Total Pages : 104 pages
Book Rating : 4.9/5 (25 download)

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Book Synopsis Planning and Managing Scientific Research by : Brian Kennett

Download or read book Planning and Managing Scientific Research written by Brian Kennett and published by ANU E Press. This book was released on 2014-03-09 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are many books on project management, few address the issues associated with scientific research. This work is based on extensive scientific research and management experiences and is designed to provide an introduction to planning and managing scientific research for the beginning researcher. The aim is to build an understanding of the nature of scientific research, and the way in which research projects can be developed, planned and managed to a successful outcome. The book is designed to help the transition from being a member of a research team to developing a project and making them work, and to provide a framework for future work. The emphasis of the book is on broadly applicable principles that can be of value irrespective of discipline. It should be of value to researchers in the later stages of Ph.D. work and Postdoctoral workers, and also for independent researchers.

Driving Science Information Discovery in the Digital Age

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Publisher : Chandos Publishing
ISBN 13 : 0128237244
Total Pages : 178 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Driving Science Information Discovery in the Digital Age by : Svetla Baykoucheva

Download or read book Driving Science Information Discovery in the Digital Age written by Svetla Baykoucheva and published by Chandos Publishing. This book was released on 2021-09-30 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: New digital technologies have transformed how scientific information is created, disseminated—and discovered. The emergence of new forms of scientific publishing based on open science and open access have caused a major shift in scientific communication and a restructuring of the flow of information. Specialized indexing services and search engines are trying to get into information seekers’ minds to understand what users are actually looking for when typing all these keywords or drawing chemical structures. Using artificial intelligence (AI), machine learning, and semantic indexing, these "discovery agents" are trying to anticipate users’ information needs. In this highly competitive environment, authors should not sit and rely only on publishers, search engines, and indexing services to make their works visible. They need to communicate about their research and reach out to a larger audience. Driving Science Information Discovery in the Digital Age looks through the "eyes" of the main "players" in this "game" and examines the discovery of scientific information from three different, but intertwined, perspectives: Discovering, managing, and using information (Information seeker perspective) Publishing, disseminating, and making information discoverable (Publisher perspective) Creating, spreading, and promoting information (Author perspective). Presents an overview of the current scientific publishing landscape Shows how users can search for scientific information more efficiently Critically analyses the metrics used to measure the quality of journals and the impact of research Looks at the discovery of scientific information from the perspectives of information seekers, publishers, and authors Delves into the practices used by specialized indexing services and search engines to process scientific information and make it discoverable Recommends strategies that authors could use to promote their research

Managing Scientists

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Publisher : John Wiley & Sons
ISBN 13 : 0471663581
Total Pages : 272 pages
Book Rating : 4.4/5 (716 download)

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Book Synopsis Managing Scientists by : Alice M. Sapienza

Download or read book Managing Scientists written by Alice M. Sapienza and published by John Wiley & Sons. This book was released on 2004-10-20 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated edition provides managers with a practical guide focused on the particular management needs for research and development in biotechnology and pharmaceutical industries. It offers a way to improve the quality of interactions and creativity output in R&D, with real life case studies to illustrate key points.

Managing and Sharing Research Data

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Author :
Publisher : SAGE
ISBN 13 : 152648238X
Total Pages : 380 pages
Book Rating : 4.5/5 (264 download)

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Book Synopsis Managing and Sharing Research Data by : Louise Corti

Download or read book Managing and Sharing Research Data written by Louise Corti and published by SAGE. This book was released on 2019-10-07 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by experts at the UK Data Archive, with over thirty years of experience in working with and teaching people to work with data, this book is the globally-reaching guide for any postgraduate student or researcher looking to build their data management skills. Focused on both primary and secondary data and packed with checklists and templates, it contains everything readers need to know for managing all types data before, during, and after the research process. Building on foundational data management techniques, it offers practical advice and insight into the unique skills needed to work with newer forms of data, like social media and big data. It also demonstrates how to: - Identify quality data that is credible, ethically-sound, and available for use - Choose and collect data suitable for particular research questions and project scopes - Work with personal, communal, administrative, and other sensitive and public data - Make the most of metadata - Visualise and share data using innovative platforms like blogs, infographics, and podcasts.

Research Data Management and Data Literacies

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Publisher : Chandos Publishing
ISBN 13 : 0323860028
Total Pages : 198 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Research Data Management and Data Literacies by : Koltay Tibor

Download or read book Research Data Management and Data Literacies written by Koltay Tibor and published by Chandos Publishing. This book was released on 2021-10-31 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Preserving Scientific Data on Our Physical Universe

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Publisher : National Academies Press
ISBN 13 : 0309521068
Total Pages : 59 pages
Book Rating : 4.3/5 (95 download)

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Book Synopsis Preserving Scientific Data on Our Physical Universe by : Steering Committee for the Study on the Long-Term Retention of Selected Scientific and Technical Records of the Federal Government

Download or read book Preserving Scientific Data on Our Physical Universe written by Steering Committee for the Study on the Long-Term Retention of Selected Scientific and Technical Records of the Federal Government and published by National Academies Press. This book was released on 1995-05-03 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book advises the National Archives and Records Administration and federal R&D agencies on the long-term retention of scientific and technical data, particularly in electronic formats. It proposes the creation of a National Scientific Information Resource Federation, which would apply a strategic data life-cycle management plan to better link the government's existing scientific data holdings and improve public access to those holdings. The book is expected to draw attention to data management concerns in the context of the current government emphasis on promoting a National Information Infrastructure and to make a significant contribution to improving the inadequate situation regarding our nation's valuable scientific data and information resources.

Open Scientific Data

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Author :
Publisher : BoD – Books on Demand
ISBN 13 : 1838809848
Total Pages : 232 pages
Book Rating : 4.8/5 (388 download)

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Book Synopsis Open Scientific Data by : Vera Lipton

Download or read book Open Scientific Data written by Vera Lipton and published by BoD – Books on Demand. This book was released on 2020-01-22 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how the vision for open access to scientific data can be more readily achieved through a staged model that research funders, policy makers, scientists, and research organizations can adopt in their practice. Drawing on her own experiences with data processing, on early findings with open scientific data at CERN (the European Organization for Nuclear Research), and from case studies of shared clinical trial data, the author updates our understanding of research data - what it is; how it dynamically evolves across different scientific disciplines and across various stages of research practice; and how it can, and indeed should, be shared at any of those stages. The result is a flexible and pragmatic path for implementing open scientific data.

The Open Handbook of Linguistic Data Management

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Publisher : MIT Press
ISBN 13 : 0262045265
Total Pages : 687 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis The Open Handbook of Linguistic Data Management by : Andrea L. Berez-Kroeker

Download or read book The Open Handbook of Linguistic Data Management written by Andrea L. Berez-Kroeker and published by MIT Press. This book was released on 2022-01-18 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Scientific Research in Information Systems

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Publisher : Springer Nature
ISBN 13 : 3030854361
Total Pages : 228 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Scientific Research in Information Systems by : Jan Recker

Download or read book Scientific Research in Information Systems written by Jan Recker and published by Springer Nature. This book was released on 2021-10-21 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces higher-degree research students and early career academics to scientific research as occurring in the field of information systems and adjacent fields, such as computer science, management science, organization science, and software engineering. Instead of focusing primarily on research methods as many other textbooks do, it covers the entire research process, from start to finish, placing particular emphasis on understanding the cognitive and behavioural aspects of research, such as motivation, modes of inquiry, theorising, planning for research, planning for publication, and ethical challenges in research. Comprehensive but also succinct and compact, the book guides beginning researchers in their quest to do scholarly work and to assist them in developing their own answers and strategies over the course of their work. Jan Recker explains in this book the fundamental concepts that govern scientific research and then moves on to introduce the basic steps every researcher undertakes: choosing research questions, developing theory, building a research design, employing research methods, and finally writing academic papers. He also covers essentials of ethical conduct of scientific research. This second edition contains major updates on all these elements plus significant expansions on relevant research methods such as design research and computational methods, a rewritten and extended chapter on theory development, and expansions to the chapters on research methods, scientific publishing, and research ethics. A companion website provides pedagogical materials and instructions for using this book in teaching.

Managing Science

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Publisher : Springer Science & Business Media
ISBN 13 : 1441974881
Total Pages : 388 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Managing Science by : Frederick Betz

Download or read book Managing Science written by Frederick Betz and published by Springer Science & Business Media. This book was released on 2010-11-30 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is science? How is it performed? Is science only a method or is it also an institution? These are questions at the core of Managing Science, a handbook on how scientific research is conducted and its results disseminated. Knowledge creation occurs through scientific research in universities, industrial laboratories, and government agencies. Any knowledge management system needs to promote effective research processes to foster innovation, and, ultimately, to channel that innovation into economic competitiveness and wealth. However, science is a complicated topic. It includes both methodological aspects and organizational aspects, which have traditionally been discussed in isolation from each other. In Managing Science, Frederick Betz presents a holistic approach to science, incorporating both philosophical and practical elements, in a framework that integrates scientific method, content, administration and application. Illustrating all of the key concepts with illustrative case studies (both historical and contemporary, and from a wide spectrum of fields), Betz provides in-depth discussion of the process of science. He addresses the social, organizational, institutional, and infrastructural context through which research projects are designed and their results applied, along the path from experimentation to innovation to commercialization of new products, services, and processes. This practical approach to science is the foundation of today's knowledge-intensive and technology-enabled industries, and positions the management of science within the broader context of knowledge management and its implications for organizations, industries, and regional and national technology management policies. Managing Science will be an essential resource for students in all areas of research, industry scientists and R&D specialists, policymakers and university administrators, and anyone concerned with the application of research to economic growth and development.

Research Data Management

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Author :
Publisher :
ISBN 13 : 9781932326475
Total Pages : 99 pages
Book Rating : 4.3/5 (264 download)

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Book Synopsis Research Data Management by :

Download or read book Research Data Management written by and published by . This book was released on 2013 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This report examines how research institutions are responding to data management requirements of the National Science Foundation, National Institutes of Health, and other federal agencies. It also considers what role, if any, academic libraries and the library and information science profession should have in supporting researchers’ data management needs.