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The United States is entering an era when, more than ever, the sharing of resources and information might be critical to scientific progress. Every dollar saved by avoiding duplication of efforts and by producing economies of scale will become increasingly important as federal funding enters an era of fiscal restraint. This book focuses on six diverse case studies that share materials or equipment with the scientific community at large: the American Type Culture Collection, the multinational coordinated Arabidopsis thaliana Genome Research Project, the Jackson Laboratory, the Washington Regional Primate Research Center, the Macromolecular Crystallography Resource at the Cornell High-Energy Synchrotron Source, and the Human Genome Center at Lawrence Livermore National Laboratory. The book also identifies common strengths and problems faced in the six cases, and presents a series of recommendations aimed at facilitating resource sharing in biomedical research.
This title is available as an Open Access eBook for free from CABI's eBook platform. Visit their website at www.cabi.org/cabebooks/ebook/20163308509. This book is a collection of fictionalized case studies of everyday ethical dilemmas and challenges encountered in the process of conducting global health research in places where the effects of political and economic inequality are particularly evident. It is a training tool to fill the gap between research ethics guidelines and their implementation "on the ground." The cases focus on "relational" ethics: ethical actions and ideas that continuously emerge through relations with others, rather than being determined by bioethics regulation. They are based on stories and experiences collected by a group of social anthropologists who have worked with leading transnational medical research organizations across Africa in the past decade. Accompanied by guidelines, discussion questions and selected further readings, the book provides a flexible resource for training and self-study for people engaged in health research with, universities, international collaborative sites and NGOs - and for everyone interested in the realities of global health research today.
Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.
The collection of systems represented in Sourcebook of genomic programs, although this work is certainly well Models for Biomedical Research is an effort to re?ect the represented and indexed. diversity and utility of models that are used in biomedicine. Some models have been omitted due to page limitations That utility is based on the consideration that observations and we have encouraged the authors to use tables and made in particular organisms will provide insight into the ? gures to make comparisons of models so that observations workings of other, more complex, systems. Even the cell not available in primary publications can become useful to cycle in the simple yeast cell has similarities to that in the reader. humans and regulation with similar proteins occurs. We thank Richard Lansing and the staff at Humana for Some models have the advantage that the reproductive, guidance through the publication process. mitotic, development or aging cycles are rapid compared As this book was entering production, we learned of the with those in humans; others are utilized because individual loss of Tom Lanigan, Sr. Tom was a leader and innovator proteins may be studied in an advantageous way and that in scienti?c publishing and a good friend and colleague to have human homologs. Other organisms are facile to grow all in the exploratory enterprise. We dedicate this book to in laboratory settings or lend themselves to convenient analy- his memory. We will miss him greatly.