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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.
"Lab Dynamics is a book about the challenges to doing science and dealing with the individuals involved, including oneself. The authors, a scientist and a psychotherapist, draw on principles of group and behavioral psychology but speak to scientists in their own language about their own experiences. They offer in-depth, practical advice, real-life examples, and exercises tailored to scientific and technical workplaces on topics as diverse as conflict resolution, negotiation, dealing with supervision, working with competing peers, and making the transition from academia to industry." "This is a uniquely valuable contribution to the scientific literature, on a subject of direct importance to lab heads, postdocs, and students. It is also required reading for senior staff concerned about improving efficiency and effectiveness in academic and industrial research."--BOOK JACKET
Why we organize our personal digital data the way we do and how design of new PIM systems can help us manage our information more efficiently. Each of us has an ever-growing collection of personal digital data: documents, photographs, PowerPoint presentations, videos, music, emails and texts sent and received. To access any of this, we have to find it. The ease (or difficulty) of finding something depends on how we organize our digital stuff. In this book, personal information management (PIM) experts Ofer Bergman and Steve Whittaker explain why we organize our personal digital data the way we do and how the design of new PIM systems can help us manage our collections more efficiently. Bergman and Whittaker report that many of us use hierarchical folders for our personal digital organizing. Critics of this method point out that information is hidden from sight in folders that are often within other folders so that we have to remember the exact location of information to access it. Because of this, information scientists suggest other methods: search, more flexible than navigating folders; tags, which allow multiple categorizations; and group information management. Yet Bergman and Whittaker have found in their pioneering PIM research that these other methods that work best for public information management don't work as well for personal information management. Bergman and Whittaker describe personal information collection as curation: we preserve and organize this data to ensure our future access to it. Unlike other information management fields, in PIM the same user organizes and retrieves the information. After explaining the cognitive and psychological reasons that so many prefer folders, Bergman and Whittaker propose the user-subjective approach to PIM, which does not replace folder hierarchies but exploits these unique characteristics of PIM.
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.
Management for Scientists explores the core theories and practices in management studies today in a context applicable to those working in the scientific industries. Chapters feature a range of real-world examples presented by experienced scientists with strategic and economic business expertise.
A unique "how-to" manual for the management of scientific laboratories This book presents a complete set of tools for the management of research and development laboratories and projects. With an emphasis on knowledge rather than profit as a measure of output and performance, the authors apply standard management principles and techniques to the needs of high-flux, open-ended, separately funded science and technology enterprises. They also propose the novel idea that failure, and incipient failure, is an important measure of an organization's potential. From the management of complex, round-the-clock, high-tech operations to strategies for long-term planning, Managing Science: Management for R&D Laboratories discusses how to build projects with the proper research and development, obtain and account for funding, and deal with rapidly changing technologies, facilities, and trends. The entire second part of the book is devoted to personnel issues and the impact of workplace behavior on the various functions of a knowledge-based organization. Drawing on four decades of involvement with the management of scientific laboratories, the authors thoroughly illustrate their philosophy with real-world examples from the physics field and provide tables and charts. Managers of scientific laboratories as well as scientists and engineers expecting to move into management will find Managing Science: Management for R&D Laboratories an invaluable practical guide.
Leadership and management are general skills that apply in most walks of life, but in the scientific domain they require some special characteristics. Science thrives on challenge, whether it is the technical challenge of trying to do something which has not been done before or challenging a widely held but poorly supported hypothesis. Scientists are trained to challenge, and for the manager of science this can itself be a challenge. In the past, when science was on a much smaller scale and less subject to public scrutiny, a less formal 'back-of-the-envelope' management style was acceptable, but those days are long-gone. Science costs much more and is rightly more accountable. Excellent scientists, however, do not necessarily make good managers and may not make good leaders. Nevertheless, like all skills, leadership and management can be enhanced and developed and even instinctively good managers can improve. While the science of management and leadership is well developed, the management and leadership of science is less so. This book aims to introduce the working research scientist to the art and techniques of management and the skills necessary to be a good and effective manager and leader of science and scientists. This includes understanding the organization and functioning of scientific research establishments (universities, laboratories, research councils, etc.) and how to deal with the associated committee work, recruiting, and team building; how to deal with difficulties managing projects and handling risks. The approach is pragmatic not dogmatic. Leadership and management are people skills, and each person is different and needs to be treated differently. The focus is on the principle and practice. While the subject is serious, the approach is conversational, with anecdotes and practical examples.
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
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
Science and innovation have the power to transform our lives and the world we live in - for better or worse – in ways that often transcend borders and generations: from the innovation of complex financial products that played such an important role in the recent financial crisis to current proposals to intentionally engineer our Earth’s climate. The promise of science and innovation brings with it ethical dilemmas and impacts which are often uncertain and unpredictable: it is often only once these have emerged that we feel able to control them. How do we undertake science and innovation responsibly under such conditions, towards not only socially acceptable, but socially desirable goals and in a way that is democratic, equitable and sustainable? Responsible innovation challenges us all to think about our responsibilities for the future, as scientists, innovators and citizens, and to act upon these. This book begins with a description of the current landscape of innovation and in subsequent chapters offers perspectives on the emerging concept of responsible innovation and its historical foundations, including key elements of a responsible innovation approach and examples of practical implementation. Written in a constructive and accessible way, Responsible Innovation includes chapters on: Innovation and its management in the 21st century A vision and framework for responsible innovation Concepts of future-oriented responsibility as an underpinning philosophy Values – sensitive design Key themes of anticipation, reflection, deliberation and responsiveness Multi – level governance and regulation Perspectives on responsible innovation in finance, ICT, geoengineering and nanotechnology Essentially multidisciplinary in nature, this landmark text combines research from the fields of science and technology studies, philosophy, innovation governance, business studies and beyond to address the question, “How do we ensure the responsible emergence of science and innovation in society?”