Research Management

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.

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

Intended for aspiring and new practitioners of Participatory Research and Development (PR&D) as well as field-based researchers in developing countries. Highlights that agricultural research and development has become a joint approach to deal with diverse biophysical environments, multiple livelihood goals, rapid changes in local and global economies, and an expanded range for stakeholders over agriculture and natural resources.

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 book explains the scope,perspective and structure of research management.It also focuses on the choice of research topic because this important decision must be considered in the light of its implications for research projects in order to give students a rounded view of the whole document they must eventually produce and offers practical advice on a range qualitative data-gathering techniques. It also discusses general interpretive research concepts and thems and discusses specific interpretive research perspectives by drawing on two linked traditions : phenomenology and existentialism.Again it offers a general outline of the idea of critical research,building on the introduction to critical thinking.

Impact is of increasing importance to all researchers, given its growing centrality to those who fund, assess and use research around the world. Delivering Impact in Management Research sets out a detailed and nuanced analysis of how research impact is best delivered in practice. Starting with a rich conceptualisation, the authors move on to discuss models through which meaningful impact is framed and delivered. The book explains processes, skills and approaches to impact, along with examples and insights into potential pitfalls and solutions. Examples are drawn from around the world and systems such as the UK Research Excellence Framework (REF) are discussed as part of a key contribution to primary debates globally. A significant contribution to the long-standing discussion about relevance in business, management and organisation studies research, this concise book is essential reading for scholars and university administrators seeking to advance their understanding of delivering and demonstrating world-class research that matters.

This entry-level text describes a tested top-down enterprise-wide approach to managing organizations with a predominant portion of their product being scientific or technological research. It focuses on executive performance and strategic forecasting and planning; goal-setting; communications and marketing, and operations management to realize strategic objectives. This book will be of interest to entrepreneurs, established scientists and engineers and to those studying toward an MBA with specialization in research institutions and major research infrastructures, preparing them to move from research or academia into their first managerial position. It also provides valuable advice and guidance for established middle and senior management in established research enterprises. Features: Provides an accessible and easy to follow introduction to strategic management methodologies Explores best practices for communication, marketing, and risk management Discusses workforce management as related to realizing strategic goals and plans

Management research is a methodical study that supplies knowledge to aid in managing choice, a hypothesis put out by prominent researchers states. Management factors such as group decision-making, policy decision-making, individual decision-making, etc. are studied as part of the organization's management research. Surveys, website traffic, quantitative & qualitative studies, interviews, management studies, focus groups, market studies, and a slew of other methods all contribute to the intricate process that is business research. In-depth reports on the state of every facet of a company are provided. Fullscale business research often combines the results of many separate studies. In contrast, management research focuses only on investigating an organization's management team. The goal of management research is to get contextually relevant data about the management of a certain firm. Management studies focus on the relationships between upper and lower management. To conduct research that has credibility and produces results grounded in science requires a solid approach. In addition, the plan's specifics help researchers stay on track, resulting in a more efficient, less stressful, and easier-tomanage overall process. A researcher's methodology sheds light on the thought process and procedures that led to the study's findings.