OCLC Research and euroCRIS, the international organization for research information, partnered to develop a survey and synthesize the results to examine how research institutions worldwide are applying research information management (RIM) practices.
In the realm of health care, privacy protections are needed to preserve patients' dignity and prevent possible harms. Ten years ago, to address these concerns as well as set guidelines for ethical health research, Congress called for a set of federal standards now known as the HIPAA Privacy Rule. In its 2009 report, Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research, the Institute of Medicine's Committee on Health Research and the Privacy of Health Information concludes that the HIPAA Privacy Rule does not protect privacy as well as it should, and that it impedes important health research.
In every part of the world information and technology are changing society and challenging the structures, roles, and management of traditional government institutions. At the same time, universal needs for human and social development, environmental protection, commercial and financial stability, and scientific and technological advancement demand governmental attention. In this complex and changing environment, governments are still expected to provide for the public good through legal and political processes, and public programs and services. Digital transformation, electronic government, government 2.0, and electronic governance are just some of the labels used to characterize the ideas and actions that underlie adaptation, transformation, and reform efforts. This book contributes to the ongoing dialog within the digital government research and practice community by addressing leadership and management challenges through the interplay of five interconnected themes: management, policy, technology, data, and context. These themes are evident in a wide range of topics including policy informatics, smart cities, cross-boundary information sharing, service delivery, and open government, among others. Accordingly, it includes chapters that explore these themes conceptually and empirically and that emphasize the importance of context, the need for cross‐boundary thinking and action, a public value approach to performance, and the multi‐dimensional capabilities necessary to succeed in a dynamic, multi‐stakeholder environment. The chapters in this book were originally published as a special issue of the journal, Public Management Review.
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.
Healthcare decision makers in search of reliable information that compares health interventions increasingly turn to systematic reviews for the best summary of the evidence. Systematic reviews identify, select, assess, and synthesize the findings of similar but separate studies, and can help clarify what is known and not known about the potential benefits and harms of drugs, devices, and other healthcare services. Systematic reviews can be helpful for clinicians who want to integrate research findings into their daily practices, for patients to make well-informed choices about their own care, for professional medical societies and other organizations that develop clinical practice guidelines. Too often systematic reviews are of uncertain or poor quality. There are no universally accepted standards for developing systematic reviews leading to variability in how conflicts of interest and biases are handled, how evidence is appraised, and the overall scientific rigor of the process. In Finding What Works in Health Care the Institute of Medicine (IOM) recommends 21 standards for developing high-quality systematic reviews of comparative effectiveness research. The standards address the entire systematic review process from the initial steps of formulating the topic and building the review team to producing a detailed final report that synthesizes what the evidence shows and where knowledge gaps remain. Finding What Works in Health Care also proposes a framework for improving the quality of the science underpinning systematic reviews. This book will serve as a vital resource for both sponsors and producers of systematic reviews of comparative effectiveness research.
The past half-century has witnessed a dramatic increase in the scale and complexity of scientific research. The growing scale of science has been accompanied by a shift toward collaborative research, referred to as "team science." Scientific research is increasingly conducted by small teams and larger groups rather than individual investigators, but the challenges of collaboration can slow these teams' progress in achieving their scientific goals. How does a team-based approach work, and how can universities and research institutions support teams? Enhancing the Effectiveness of Team Science synthesizes and integrates the available research to provide guidance on assembling the science team; leadership, education and professional development for science teams and groups. It also examines institutional and organizational structures and policies to support science teams and identifies areas where further research is needed to help science teams and groups achieve their scientific and translational goals. This report offers major public policy recommendations for science research agencies and policymakers, as well as recommendations for individual scientists, disciplinary associations, and research universities. Enhancing the Effectiveness of Team Science will be of interest to university research administrators, team science leaders, science faculty, and graduate and postdoctoral students.
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Research funders in the UK, USA and across Europe are implementing data management and sharing policies to maximize openness of data, transparency and accountability of the research they support. Written by experts from the UK Data Archive with over 20 years experience, this book gives post-graduate students, researchers and research support staff the data management skills required in today’s changing research environment. The book features guidance on: how to plan your research using a data management checklist how to format and organize data how to store and transfer data research ethics and privacy in data sharing and intellectual property rights data strategies for collaborative research how to publish and cite data how to make use of other people’s research data, illustrated with six real-life case studies of data use.
This book is an important addition to what can be broadly referred to as the national systems of innovation (NSI) approach. The particular contribution of the book is in the examination of the employment effects of innovation, something only indirectly considered hitherto. . . It is a thorough integration of existing knowledge on the key employment implications of innovation. . . Rachel Parker, Labour and Industry This is a highly readable, non-technical book . . . a highly clear and well-argued book that should be useful for policymakers and higher education alike. It brings together much of the most recent and useful literature in the area of innovation, employment and related public policy. It is an opportune addition to the existing documentation on the subject. Journal of Economics / Zeitschrift für Nationalökonomie Which kinds of growth lead to increased employment and which do not? This is one of the questions that this important volume attempts to answer. The book explores the complex relationships between innovation, growth and employment that are vital for both research into, and policy for, the creation of jobs. Politicians claiming that more rapid growth would remedy unemployment do not usually specify what kind of growth is meant. Is it, for example, economic (GDP) or productivity growth? Growing concern over jobless growth requires both policymakers and researchers to make such distinctions, and to clarify their employment implications. The authors initially address their theoretical approach to, and conceptualization of, innovation and employment, where the distinction between process and product innovations and between high-tech and low-tech goods and services are central. They go on to address the relationship between innovation and employment, using empirical material to analyse the effects that different kinds of innovations have upon job creation and destruction. Finally, the volume summarizes the findings and addresses conclusions as well as policy implications. This book will be of great interest to those involved in research and policy in the fields of macroeconomics (economic growth and employment), industrial economics and innovation.