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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.
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.
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
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.
Research Management: Europe and Beyond addresses the myriad responsibilities related to research management and administration. The book incorporates narratives from those working in the field to provide insight into the profession. The book also offers a unique perspective on the topic by incorporating global perspectives to address the growing interdisciplinary nature of research collaboration. The book outlines practical advice for those in the research management and administration profession at all levels of experience. It is also a useful tool that research institutions and research groups can use to assist in planning and streamlining their research support. - Offers a deeper understanding of the research management and administrative landscape through single and collective definitions and experiences - Provides an overview of the research environment and explores the international research arena - Discusses some of the most complex issues in research management and administration by covering topics such as ethics, innovation, research impact, organizational structures, and processes for the project life cycle
The Handbook of Research Management is a unique tool for the newly promoted research leader. Larger-scale projects are becoming more common throughout the social sciences and humanities, housed in centres, institutes and programmes. Talented researchers find themselves faced with new challenges to act as managers and leaders rather than as individual scholars. They are responsible for the careers and professional development of others, and for managing interactions with university administrations and external stakeholders. Although many scientific and technological disciplines have long been organized in this way, few resources have been created to help new leaders understand their roles and responsibilities and to reflect on their practice. This Handbook has been created by the combined experience of a leading social scientist and a chief executive of a major international research development institution and funder. The editors have recruited a truly global team of contributors to write about the challenges they have encountered in the course of their careers, and to provoke readers to think about how they might respond within their own contexts. This book will be a standard work of reference for new research leaders, in any discipline or country, looking for help and inspiration. The editorial commentaries extend its potential use in support of training events or workshops where groups of new leaders can come together and explore the issues that are confronting them.
Keys to Running Successful Research Projects: All the Things They Never Teach You provides a step-by-step guide for the management of a successful research project or program. Through the use of illustrative case studies, the book covers all aspects of management that should be included during researcher training, helping researchers overcome the many challenges they face in their day-to-day management of people, time and resources. Links throughout provide more detailed information from gold standard sources on every topic. It is a must-have reference for postdocs, research managers and administrators in colleges, universities, hospitals and research institutes. In addition, it is an ideal resource for those working in grant and contract funding groups in the life sciences and medical fields. - Covers the nuts and bolts of research management in the life sciences, medical and health fields - Provides simple solutions to issues that come up on the job - Ensures that hard-fought for money is spent wisely and well
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
This is the first comprehensive overview of the exciting field of the 'science of science'. With anecdotes and detailed, easy-to-follow explanations of the research, this book is accessible to all scientists, policy makers, and administrators with an interest in the wider scientific enterprise.
Describing the philosophy of the scientific method and the training and professional characteristics needed for a successful career, Scientific Research as a Career is a comprehensive "how-to" guide for the aspiring scientist. Based on the author’s experience both as a scientist in a research organization and as a university mentor, the book covers: The interaction between management and leadership principles and scientific research Qualifications and attributes usually required to become a successful researcher History, application, and prerequisites of the scientific method and scientific progress Exploration of the careers of pivotal and influential scientists The author highlights the importance of networking and the value of forming contacts with colleagues, joining scientific associations, attending conferences, making presentations, and acting as chairs for conference sessions. He also touches on the many areas outside of "the science" that readers are likely to encounter during their career, such as mentoring, supervising research students, and managing a group. The book clearly delineates not only the challenges currently facing scientists, but also how to overcome them and achieve success in their careers.