Managing Scientific Information And Research Data

Book Description :

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

Book Description :

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.

Book Description :

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

Book Description :

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. Contributors include: James L. Mullins, Purdue University; MacKenzie Smith, University of California at Davis; Sherry Lake, University of Virginia; John Kunze, University of California; Bernard Reilly, Center for Research Libraries; Jacob Carlson, Purdue University; Melissa Levine, University of Michigan; Jenn Riley, University of North Carolina at Chapel Hill; Jan Brase, German National Library of Science and Technology; Seamus Ross, University of Toronto; Sarah Shreeves, University of Illinois at Urbana-Champaign; Jared Lyle, University of Michigan; Michele Kimpton, DuraSpace; Brian Schottlaender, University of California San Diego; Suzie Allard, University of Tennessee; Angus Whyte, Digital Curation Centre; Scott Brandt, Purdue University; Brian Westra, University of Oregon; Geneva Henry, Rice University; Gail Steinhart, Cornell University; and Cliff Lynch, Coalition for Networked Information. Charleston Insights in Library, Information, and Archival Sciences is a new series produced as a collaboration between the organizers of the Charleston Library Conference and Purdue University Press. Volumes in the series focus on important topics in library and information science, presenting the issues in a relatively jargon-free way that is accessible to all types of information professionals.

Book Description :

Openness and sharing of information are fundamental to the progress of science and to the effective functioning of the research enterprise. The advent of scientific journals in the 17th century helped power the Scientific Revolution by allowing researchers to communicate across time and space, using the technologies of that era to generate reliable knowledge more quickly and efficiently. Harnessing today's stunning, ongoing advances in information technologies, the global research enterprise and its stakeholders are moving toward a new open science ecosystem. Open science aims to ensure the free availability and usability of scholarly publications, the data that result from scholarly research, and the methodologies, including code or algorithms, that were used to generate those data. Open Science by Design is aimed at overcoming barriers and moving toward open science as the default approach across the research enterprise. This report explores specific examples of open science and discusses a range of challenges, focusing on stakeholder perspectives. It is meant to provide guidance to the research enterprise and its stakeholders as they build strategies for achieving open science and take the next steps.

Book Description :

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.

Book Description :

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

Book Description :

As digital technologies are expanding the power and reach of research, they are also raising complex issues. These include complications in ensuring the validity of research data; standards that do not keep pace with the high rate of innovation; restrictions on data sharing that reduce the ability of researchers to verify results and build on previous research; and huge increases in the amount of data being generated, creating severe challenges in preserving that data for long-term use. Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age examines the consequences of the changes affecting research data with respect to three issues - integrity, accessibility, and stewardship-and finds a need for a new approach to the design and the management of research projects. The report recommends that all researchers receive appropriate training in the management of research data, and calls on researchers to make all research data, methods, and other information underlying results publicly accessible in a timely manner. The book also sees the stewardship of research data as a critical long-term task for the research enterprise and its stakeholders. Individual researchers, research institutions, research sponsors, professional societies, and journals involved in scientific, engineering, and medical research will find this book an essential guide to the principles affecting research data in the digital age.

Book Description :

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.

Book Description :

Academic libraries have traditionally had two key functions, to support teaching and to support research. In an evolving and competitive university environment, along with the emergence of various technologies and substantial changes in scientific communication, university management has reached a turning point. Academic libraries are facing a paradigm shift in the role they need to play to achieve the research objectives of universities. Research support services in academic libraries have evolved as a response to these changes. They are heterogeneous, adapt to their university culture, adopt different points of view, take different approaches in their organizational structures, and include a diverse catalog of activities. Having an overview of different experiences will allow libraries to adopt best practices, redefine services, and even establish new management and collaboration models. Cases on Research Support Services in Academic Libraries is a critical scholarly resource that uses case studies to systematize the experiences of research support services in academic libraries for the support of higher education faculty. The cases focus on such items as the role of technology and its impact as well as how these services help to improve the excellence of universities. Featuring a wide range of topics such as library services, data management, and open science, this book is ideal for librarians, academicians, professionals, researchers, and students.

Book Description :

The development of new information technologies has transformed the creation, sharing, dissemination, and discoverability of scientific information. New forms of scientific publishing and media have shifted the ways in which scientific communication takes place, creating a sea change in the flow of scientific information. There is now intense competition to make scientific information more visible and discoverable, and great pressure on researchers to increase the impact of research. Specialized indexing services and search engines, for example, attempt to intuit what users are looking for and, using artificial intelligence and machine learning, these agents are anticipating the information needs of the user. Driving Scientific Information Discovery in the Digital Age examines the complex mechanisms involved in scientific information discovery. The book consists in three intertwined threads: discovering, managing and using scientific information; making scientific information discoverable; and enhancing discoverability. This title gives readers insight into the mechanisms involved in scientific information discovery. The book shows in a clear way how scientific information is processed and how researchers and information specialists can make research more visible and discoverable, and thereby increase research impact. Shows researchers how scientific information is processed, and how it can be made more discoverable Presents the mechanisms involved in scientific information discovery in a systematic and clear way Considers scientific information from three related perspectives: the user, the publisher, and the author Lays out the latest techniques used by specialized indexing services and search engines to process scientific information Helps researchers, and information specialists, increase impact by making research more discoverable

Book Description :

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.

Book Description :

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.

Book Description :

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.

Book Description :

This book is designed to introduce doctoral and other higher-degree research students to the process of scientific research in the fields of Information Systems as well as fields of Information Technology, Business Process Management and other related disciplines within the social sciences. It guides research students in their process of learning the life of a researcher. In doing so, it provides an understanding of the essential elements, concepts and challenges of the journey into research studies. It also provides a gateway for the student to inquire deeper about each element covered​. Comprehensive and broad but also succinct and compact, the book is focusing on the key principles and challenges for a novice doctoral student.

Book Description :

COVID-19 is profoundly affecting the ways in which we live, learn, plan, and develop. What does COVID-19 mean for the future of digital information use and delivery, and for more traditional forms of library provision? Libraries, Digital Information, and COVID gives immediate and long-term solutions for librarians responding to the challenge of COVID-19. The book helps library leaders prepare for a post-COVID-19 world, giving guidance on developing sustainable solutions. The need for sustainable digital access has now become acute, and while offering a physical space will remain important, current events are likely to trigger a shift toward off-site working and study, making online access to information more crucial. Libraries have already been providing access to digital information as a premium service. New forms and use of materials all serve to eliminate the need for direct contact in a physical space. Such spaces will come to be predicated on evolving systems of digital information, as critical needs are met by remote delivery of goods and services. Intensified financial pressure will also shape the future, with a reassessment of information and its commercial value. In response, there will be a massification of provision through increased cooperation and collaboration. These significant transitions are driving professionals to rethink and question their identities, values, and purpose. This book responds to these issues by examining the practicalities of running a library during and after the pandemic, answering questions such as: What do we know so far? How are institutions coping? Where are providers placing themselves on the digital/print and the remote/face-to-face continuums? This edited volume gives analysis and examples from around the globe on how libraries are managing to deliver access and services during COVID-19. This practical and thoughtful book provides a framework within which library directors and their staff can plan sustainable services and collections for an uncertain future. Focuses on the immediate practicalities of service provision under COVID-19 Considers longer-term strategic responses to emerging challenges Identifies key concerns and problems for librarians and library leaders Analyzes approaches to COVID-19 planning Presents and examines exemplars of best practice from around the world Offers practical models and a useful framework for the future

Book Description :

This proceedings volume contains selected papers presented at the 2014 International Conference on Education Management and Management Science (ICEMMS 2014), held August 7-8, 2014, in Tianjin, China. The objective of ICEMMS2014 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the wo

Book Description :

In recent years, the attention of the scientific and social community has not solely been on producing new findings, but increasingly also on the related issues of the reliability, safety, and efficacy of the discoveries made, as well as the efficient and effective use of resources. The adoption of management models and tools can help scientists to improve their research, ensuring valuable, robust and dependable outcomes. Quality disciplines have been widely used for decades in industrial and business fields, building a knowledge base that can be translated and exploited, much to the advantage of scientific research. However, quality references in scientific research are still extremely rare and largely limited to an international guideline and a few sector-specific standards. Despite WHO and EU Commission campaigns, there are still precious few practical texts that offer researchers guidance on quality principles and provide simple tools and methodologies for their daily work. The book, starting from the problem of the reproducibility of scientific results and the substantial contribution that the Quality approach can make to research (Chapter 1), introduces the reader to key principles and basic concepts of Quality and illustrates both general and research-specific quality standards, paving the way for further discussion (Chapter 2). In turn, Chapter 3 presents detailed applications of Quality principles in various aspects of research, from study and ethics to materials and equipment management. Chapters 4 and 5, respectively, are devoted to Quality tools and Quality methodologies, as well as soft skills, all of which are valuable to scientific experimentation and study management. The concepts and practical tools discussed are extensively illustrated with examples from actual applications in scientific research.

Book Description :

This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research.

Book Description :

Research 2.0 and the Future of Information Literacy examines possible congruencies between information literacy and Research 2.0, because the work of today’s researcher mobilizes a number of literacies. From among the various types of relevant literacies, at least three types of literacies can be mentioned in this relation: information literacy, scientific literacy and academic literacy. This book addresses these literacies in the light of the changing research landscape. Broad contexts of the researcher’s abilities, as adaptive and innovative thinking, problem solving skills, self-management and design mindset are also examined. Computational thinking and the computational paradigm in a number of fields of research are taken into consideration, as well. Researchers differ to non-researchers when populating social media, which means that these two different groups require different literacies. The relationship between information literacy and information is approached in a new way. Among the multitude of issues, we introduce a new interface between information literacy and Research 2.0. It encompasses the issues of research data management and data literacy, which represent also a challenge both for the academic library and for the communities of researchers. Similarly, the questions of new metrics of scientific output are addressed in the book. Summarizes the most important and up-to date approaches towards Research 2.0, including researchers’ skills and abilities, the data-intensive paradigm of scientific research, open science, not forgetting about factors that inhibit a wider uptake of Research 2.0 Discusses the nature of information literacy in the light of its definitions, declarations and related frameworks and by outlining the new literacies context, reading and writing, the cultural context, and the turns of library and information science Numerous literacies, other than information literacy, its relationship to information overload and personal information management are also subject of the book Theoretical and practical perspectives are given to enable the understanding of the transformations of information literacy and its relationship to Research 2.0