| data collection and management: Data Collection and Management Magda Stouthamer-Loeber, Welmoet Bok van Kammen, 1995-08-08 Tired of a trial-and-error approach to collecting and managing data? Data Collection and Management offers helpful information on managing research projects. By stressing how to use good standards for data collecting and processing, the authors cover such important how-tos as planning research activities; making budgetary decisions and keeping the budget under control; hiring, training, and supervising field interviewing staff; establishing whether interviewers are ready to start interviewing; and ensuring high participant acquisition and retention rates. The book also covers using computerized information systems for tracking data collected and the data management process. Proposal writers, principal investigators, graduate research students, and project coordinators of research requiring large-scale field data collection will find the book to be an indispensable tool. |
| data collection and management: The Data Book Meredith Zozus, 2017-07-12 The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members covering how to collect and manage data for research. The book covers basic types of data and fundamentals of how data grow, move and change over time. Focusing on pre-publication data collection and handling, the text illustrates use of these key concepts to match data collection and management methods to a particular study, in essence, making good decisions about data. The first section of the book defines data, introduces fundamental types of data that bear on methodology to collect and manage them, and covers data management planning and research reproducibility. The second section covers basic principles of and options for data collection and processing emphasizing error resistance and traceability. The third section focuses on managing the data collection and processing stages of research such that quality is consistent and ultimately capable of supporting conclusions drawn from data. The final section of the book covers principles of data security, sharing, and archival. This book will help graduate students and researchers systematically identify and implement appropriate data collection and handling methods. |
| data collection and management: Qualitative Methodologies And Data Collection Methods: Toward Increased Rigour In Management Research Edward Groenland, Leo-paul Dana, 2019-11-05 'The book is very simplistically written and, I consider that undergraduate students would find maximum chapters easy to comprehend and apply. I strongly recommend Qualitative Methodologies and Data Collection Methods: Toward Increased Rigour in Management Research for general and qualitative methodology courses and for practitioners and researchers searching for direction in planning or gaining a superior comprehension of qualitative research. It is an excellent book that gives brief and accommodating portrayals of major ascribes of qualitative research and priceless examples for planning and conducting research studies and various data collection methods in qualitative exploration.'Technological Forecasting & Social Change Globalisation opens new frontiers of research that require advanced research methods. While quantitative methods are ideal in some situations, qualitative methods are more appropriate for responding to 'how' questions in new contexts. They aim to understand and provide a holistic picture via interaction — a unique advantage over quantitative methods. This textbook for graduate students introduces qualitative research and covers major qualitative methodologies and data collection methods.The choice of methodologies in this book is based on their actual applicability in management research. This approach provides a hands-on emphasis while maintaining both scientific rigour and rooting, and a high practicality level with respect to problem analysis, the collection of data, and the way this data should be analysed.Students and researchers will benefit from features including explanations of the advantages and disadvantages of methodological choices, and elaborated examples of good articles. The reader will acquire an overview of current methodologies, which will facilitate the choice process with respect to research approaches, and is also encouraged to bring personal research skills to a higher level. |
| data collection and management: Collecting Qualitative Data Greg Guest, Emily E. Namey, Marilyn L. Mitchell, 2013 Provides a very practical and step-by-step guide to collecting and managing qualitative data, |
| data collection and management: Registries for Evaluating Patient Outcomes Agency for Healthcare Research and Quality/AHRQ, 2014-04-01 This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. |
| data collection and management: Systematic Data Collection Susan C. Weller, A. Kimball Romney, 1988-02-01 The process of collecting accurate data through interviewing, questionnaires, and other methods has not always been clear. However, data collection in field settings can be done in a structured, systematic and scientific way. These authors show us how. First, they focus on the importance of finding the right questions to ask. By providing a variety of formats - triadic comparisons and rating scales for data collection, both oral and written methods - and stressing cultural relativity, Weller and Romney suggest ways to improve not only the data collected, but also the interpretation and analysis of such data. Primarily addressed to qualitative social scientists, this volume is also appropriate for anyone who wants to study attitudes and beliefs. In particular, it is an ideal text for courses in anthropology, linguistics, qualitative research methods, health care, and survey research. |
| data collection and management: Data Collection Patricia Pulliam Phillips, Cathy A. Stawarski, 2008-01-07 Data Collection Data Collection is the second of six books in the Measurement and Evaluation Series from Pfeiffer. The proven ROI Methodology--developed by the ROI Institute--provides a practical system for evaluation planning, data collection, data analysis, and reporting. All six books in the series offer the latest tools, most current research, and practical advice for measuring ROI in a variety of settings. Data Collection offers an effective process for collecting data that is essential to the implementation of the ROI Methodology. The authors outline the techniques, processes, and critical issues involved in successful data collection. The book examines the various methods of data collection, including questionnaires, interviews, focus groups, observation, action plans, performance contracts, and monitoring records. Written for evaluators, facilitators, analysts, designers, coordinators, and managers, Data Collection is a valuable guide for collecting data that are adequate in quantity and quality to produce a complete and credible analysis. |
| data collection and management: Analysing Quantitative Survey Data for Business and Management Students Jeremy Dawson, 2016-11-10 In Analysing Quantitative Survey Data, Jeremy Dawson introduces you to the key elements of analysing quantitative survey data using classical test theory, the measurement theory that underlies the techniques described in the book. The methodological assumptions, basic components and strengths and limitations of this analysis are explained and with the help of illustrative examples, you are guided through how to conduct the key procedures involved, including reliability analysis, exploratory and confirmatory factor analysis. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis. |
| data collection and management: The SAGE Handbook of Qualitative Data Collection Uwe Flick, 2017-12-14 The SAGE Handbook of Qualitative Data Collection is a timely overview of the methodological developments available to social science researchers, covering key themes including: Concepts, Contexts, Basics Verbal Data Digital and Internet Data Triangulation and Mixed Methods Collecting Data in Specific Populations. |
| data collection and management: The National Children's Study Research Plan National Research Council, Institute of Medicine, Board on Population Health and Public Health Practice, Division of Behavioral and Social Sciences and Education, Board on Children, Youth, and Families, Committee on National Statistics, Panel to Review the National Children's Study Research Plan, 2008-08-16 The National Children's Study (NCS) is planned to be the largest long-term study of environmental and genetic effects on children's health ever conducted in the United States. It proposes to examine the effects of environmental influences on the health and development of approximately 100,000 children across the United States, following them from before birth until age 21. By archiving all of the data collected, the NCS is intended to provide a valuable resource for analyses conducted many years into the future. This book evaluates the research plan for the NCS, by assessing the scientific rigor of the study and the extent to which it is being carried out with methods, measures, and collection of data and specimens to maximize the scientific yield of the study. The book concludes that if the NCS is conducted as proposed, the database derived from the study should be valuable for investigating hypotheses described in the research plan as well as additional hypotheses that will evolve. Nevertheless, there are important weaknesses and shortcomings in the research plan that diminish the study's expected value below what it might be. |
| data collection and management: Metrology in Urban Drainage and Stormwater Management Jean-Luc Bertrand-Krajewski, Francois Clemens-Meyer, Mathieu Lepot, 2021 This book presents the advancements made in applied metrology in the field of Urban Drainage and Storm water Management over the past two decades in scientific research as well as in practical applications. Given the broadness of this subject (measuring principles, uncertainty in data, data validation, data storage and communication, design, maintenance and management of monitoring networks, technical details of sensor technology), the focus is on water quantity and a sound metrological basis. The book offers common ground for academics and practitioners when setting up monitoring projects in urban drainage and storm water management. This will enable an easier exchange of results so as to allow for a faster scientific progress in the field. A second, but equally important goal, is to allow practitioners access to scientific developments and gained experience when it comes to monitoring urban drainage and storm water systems. In-depth descriptions of international case studies covering all aspects discussed in the book are presented, along with self-training exercises and codes available for readers on a companion website. |
| data collection and management: Race, Ethnicity, and Language Data Institute of Medicine, Board on Health Care Services, Subcommittee on Standardized Collection of Race/Ethnicity Data for Healthcare Quality Improvement, 2009-12-30 The goal of eliminating disparities in health care in the United States remains elusive. Even as quality improves on specific measures, disparities often persist. Addressing these disparities must begin with the fundamental step of bringing the nature of the disparities and the groups at risk for those disparities to light by collecting health care quality information stratified by race, ethnicity and language data. Then attention can be focused on where interventions might be best applied, and on planning and evaluating those efforts to inform the development of policy and the application of resources. A lack of standardization of categories for race, ethnicity, and language data has been suggested as one obstacle to achieving more widespread collection and utilization of these data. Race, Ethnicity, and Language Data identifies current models for collecting and coding race, ethnicity, and language data; reviews challenges involved in obtaining these data, and makes recommendations for a nationally standardized approach for use in health care quality improvement. |
| data collection and management: Doing Qualitative Research Online Janet E. Salmons, 2015-12-26 Qualitative researchers can now connect with participants online to collect deep, rich data and generate new understandings of contemporary research phenomena. Doing Qualitative Research Online gives students and researchers the practical and scholarly foundations needed to gain digital research literacies essential for designing and conducting studies based on qualitative data collected online. The book will take a broad view of methodologies, methods and ethics, covering: Ethical issues in research design and ethical relationships with participants Designing online qualitative studies Collecting qualitative data online through interviews, observations, participatory and arts-based research and a wide range of posts and documents. Analyzing data and reporting findings Written by a scholar-practitioner in e-learning and online academia with 15 years’ experience, this book will help all those new to online research by providing a range of examples and illustrations from published research. The text and accompanying materials will offer discussion and assignment ideas for ease of adoption. |
| data collection and management: Patient-Reported Outcomes in Performance Measurement David Cella, Elizabeth A. Hahn, Sally E. Jensen, Zeeshan Butt, Cindy J. Nowinski, Nan Rothrock, Kathleen N. Lohr, 2015-09-17 Patient-reported outcomes (PROs) are measures of how patients feel or what they are able to do in the context of their health status; PROs are reports, usually on questionnaires, about a patient's health conditions, health behaviors, or experiences with health care that individuals report directly, without modification of responses by clinicians or others; thus, they directly reflect the voice of the patient. PROs cover domains such as physical health, mental and emotional health, functioning, symptoms and symptom burden, and health behaviors. They are relevant for many activities: helping patients and their clinicians make informed decisions about health care, monitoring the progress of care, setting policies for coverage and reimbursement of health services, improving the quality of health care services, and tracking or reporting on the performance of health care delivery organizations. We address the major methodological issues related to choosing, administering, and using PROs for these purposes, particularly in clinical practice settings. We include a framework for best practices in selecting PROs, focusing on choosing appropriate methods and modes for administering PRO measures to accommodate patients with diverse linguistic, cultural, educational, and functional skills, understanding measures developed through both classic and modern test theory, and addressing complex issues relating to scoring and analyzing PRO data. |
| data collection and management: Collection Development and Management for 21st Century Library Collections Vicki L. Gregory, 2019-07-03 Packed with discussion questions, activities, suggested additional references, selected readings, and many other features that speak directly to students and library professionals, Gregory’s Collection Development and Management for 21st Century Library Collections is a comprehensive handbook that also shares myriad insightful ideas and approaches valuable to experienced practitioners. This new second edition brings an already stellar text fully up to date, presenting top-to-bottom coverage of the impact of new technologies and developments on the discipline, including discussion of e-books, open access, globalization, self-publishing, and other trends; needs assessment, policies, and selection sources and processes; budgeting and fiscal management; collection assessment and evaluation; weeding, with special attention paid to electronic materials; collaborative collection development and resource sharing; marketing and outreach; self-censorship as a component of intellectual freedom, professional ethics, and other legal issues; diversity and ADA issues; preservation; and the future of the field. Additional features include updated vendor lists, samples of a needs assessment report, a collection development policy, an approval plan, and an electronic materials license. |
| data collection and management: Quality Management of Pavement Condition Data Collection Gerardo W. Flintsch, Kevin K. McGhee, 2009 |
| data collection and management: Development Research in Practice Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels, Maria Ruth Jones, 2021-07-16 Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University |
| data collection and management: Scholarly Ethics and Publishing: Breakthroughs in Research and Practice Management Association, Information Resources, 2019-03-01 A vital component of any publishing project is the ethical dimensions, which can refer to varied categories of practice: from conducting a proper peer review to using proper citation in research. With the implementation of technology in research and publishing, it is important for today’s researchers to address the standards of scientific research and publishing practices to avoid unethical behavior. Scholarly Ethics and Publishing: Breakthroughs in Research and Practice is an essential reference source that discusses various aspects of ethical values in academic settings including methods and tools to prevent and detect plagiarism, strategies for the principled gathering of data, and best practices for conducting and citing research. It also assists researchers in navigating the field of scholarly publishing through a careful analysis of multidisciplinary research topics and recent trends in the industry. Highlighting a range of pertinent topics such as academic writing, publication process, and research methodologies, this publication is an ideal reference source for researchers, graduate students, academicians, librarians, scholars, and industry-leading experts around the globe. |
| data collection and management: Cochrane Handbook for Systematic Reviews of Interventions Julian P. T. Higgins, Sally Green, 2008-11-24 Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves. |
| data collection and management: Engaging Researchers with Data Management Connie Clare, Maria J. Cruz, Elli Papadopoulou, James Savage (Research associate), Marta Teperek, Yan Wang, Iza Witkowska, Joanne Yeomans, 2019 Engaging Researchers with Data Management is an invaluable collection of 24 case studies, drawn from institutions across the globe, that demonstrate clearly and practically how to engage the research community with RDM. These case studies together illustrate the variety of innovative strategies research institutions have developed to engage with their researchers about managing research data. Each study is presented concisely and clearly, highlighting the essential ingredients that led to its success and challenges encountered along the way. By interviewing key staff about their experiences. |
| data collection and management: Data Mining: Concepts and Techniques Jiawei Han, Micheline Kamber, Jian Pei, 2011-06-09 Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. - Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects - Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields - Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data |
| data collection and management: Innovations in Federal Statistics National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods, 2017-04-21 Federal government statistics provide critical information to the country and serve a key role in a democracy. For decades, sample surveys with instruments carefully designed for particular data needs have been one of the primary methods for collecting data for federal statistics. However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels. Innovations in Federal Statistics examines the opportunities and risks of using government administrative and private sector data sources to foster a paradigm shift in federal statistical programs that would combine diverse data sources in a secure manner to enhance federal statistics. This first publication of a two-part series discusses the challenges faced by the federal statistical system and the foundational elements needed for a new paradigm. |
| data collection and management: Qualitative Data Collection Tools Felice D. Billups, 2019-12-20 Qualitative Data Collection Tools by Felice D. Billups is a new and unique supplementary text that will guide students and new researchers to design, develop, pilot, and employ qualitative tools in order to collect qualitative data. |
| data collection and management: 100 Methods for Total Quality Management Gopal K Kanji, Mike Asher, 1996-03-05 From force field analysis to `zero defects', from `brainstorming' to the Deming Wheel, this volume meets the need for a short, accessible reference to the 100 most frequently adopted methods for implementing total quality management. Central to the book is a broad interpretation of TQM - the methods addressed are relevant to all those interested in using explicit tools, qualitative and quantitative, to assist problem-solving, analysis and evaluation in the management process. After an introduction briefly outlining the basic principles of TQM, the bulk of the book then provides clear, concise outlines of the 100 methods. It describes their purpose, application - `how to use' - and benefits, with examples. A classification o |
| data collection and management: Management Research Susan Rose, Nigel Spinks, Ana Isabel Canhoto, 2014-07-25 For many post-graduate students undertaking a research project for the first time is a daunting prospect. Gaining the knowledge and skills needed to do research typically has to be done alongside carrying out the project itself. Students often have to conduct their research independently, perhaps with limited tutor contact. What is needed in such situations is a resource that supports the new researcher on every step of the research journey, from defining the project to communicating its findings. Management Research: Applying the Principles provides just such a resource. Structured around the key stages of a research project, it is designed to provide answers to the questions faced by new researchers but without neglecting the underlying principles of good research. Each chapter includes ‘next steps’ activities to help readers apply the content to their own live research project. The companion website provides extensive resources, including video tutorials, to support the development of practical research skills. The text reflects the richness and variety of current business and management research both in its presentation of methods and techniques and its choice of examples drawn from different subject disciplines, industries and organizations. Management Research: Applying the Principles combines diversity of coverage with a singularity of purpose: to help students complete their research project to a rigorous standard. |
| data collection and management: Qualitative Research in Sport Management James Skinner, Allan Edwards, 2010-05-04 Qualitative Research in Sport Management is the first book of its kind to bring together valuable research designs based on extensive research in qualitative research methods across a number of different fields. Research designs from the fields of business, education, cultural studies, media studies, queer studies, sociology and psychology are applied specifically to sport management, taking into account the special features and nuances of this field. In each research design the text provides a concise guide to how each model can first be applied to sport management issues and problems, second, strengthen the research design, and finally, enhance the research process. Each chapter is carefully structured to ensure that key information is easy to locate and remember and includes: Introduction, Objectives, Key Concepts and Terms, and Review and research questions. International case studies, In Profile sections with leading sport management researchers and research briefs are used to illustrate how theory is put into practice. An accompanying website provides powerpoint summaries of each chapter. Please visit: www.textbooks.elsevier.com/9780750685986. |
| data collection and management: Evaluating Human Genetic Diversity National Research Council, Division on Earth and Life Studies, Commission on Life Sciences, Committee on Human Genome Diversity, 1998-01-19 This book assesses the scientific value and merit of research on human genetic differencesâ€including a collection of DNA samples that represents the whole of human genetic diversityâ€and the ethical, organizational, and policy issues surrounding such research. Evaluating Human Genetic Diversity discusses the potential uses of such collection, such as providing insight into human evolution and origins and serving as a springboard for important medical research. It also addresses issues of confidentiality and individual privacy for participants in genetic diversity research studies. |
| data collection and management: Field Trials of Health Interventions Peter G. Smith, Richard H. Morrow, David A. Ross, 2015 This is an open access title available under the terms of a CC BY-NC 4.0 International licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. Before new interventions are released into disease control programmes, it is essential that they are carefully evaluated in field trials'. These may be complex and expensive undertakings, requiring the follow-up of hundreds, or thousands, of individuals, often for long periods. Descriptions of the detailed procedures and methods used in the trials that have been conducted have rarely been published. A consequence of this, individuals planning such trials have few guidelines available and little access to knowledge accumulated previously, other than their own. In this manual, practical issues in trial design and conduct are discussed fully and in sufficient detail, that Field Trials of Health Interventions may be used as a toolbox' by field investigators. It has been compiled by an international group of over 30 authors with direct experience in the design, conduct, and analysis of field trials in low and middle income countries and is based on their accumulated knowledge and experience. Available as an open access book via Oxford Medicine Online, this new edition is a comprehensive revision, incorporating the new developments that have taken place in recent years with respect to trials, including seven new chapters on subjects ranging from trial governance, and preliminary studies to pilot testing. |
| data collection and management: Creating a Data-Driven Organization Carl Anderson, 2015-07-23 What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company ... Through interviews and examples from data scientists and analytics leaders in a variety of industries ... Anderson explains the analytics value chain you need to adopt when building predictive business models--Publisher's description. |
| data collection and management: Management Decision-Making, Big Data and Analytics Simone Gressel, David J. Pauleen, Nazim Taskin, 2020-10-12 Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels. |
| data collection and management: Handbook on Using Administrative Data for Research and Evidence-based Policy Shawn Cole, Iqbal Dhaliwal, Anja Sautmann, 2021 This Handbook intends to inform Data Providers and researchers on how to provide privacy-protected access to, handle, and analyze administrative data, and to link them with existing resources, such as a database of data use agreements (DUA) and templates. Available publicly, the Handbook will provide guidance on data access requirements and procedures, data privacy, data security, property rights, regulations for public data use, data architecture, data use and storage, cost structure and recovery, ethics and privacy-protection, making data accessible for research, and dissemination for restricted access use. The knowledge base will serve as a resource for all researchers looking to work with administrative data and for Data Providers looking to make such data available. |
| data collection and management: Improving the Collection, Management, and Use of Marine Fisheries Data National Research Council, Commission on Geosciences, Environment, and Resources, Ocean Studies Board, 2000-12-10 Congress has promoted fisheries science for over a century and its involvement in fisheries management took a great leap forward with passage of the Fisheries Conservation and Management Act of 1976. In the past decade, Congress has requested advice from the National Research Council (NRC) on both national issues (e.g., individual fishing quotas and community development quotas) and the assessments related to specific fisheries (Northeast groundfish). This report was produced, in part, in response to another congressional request, this time related to the assessments of the summer flounder stocks along the East Coast of the United States. Following the initial request, the NRC, National Marine Fisheries Service (NMFS), and congressional staff agreed to broaden the study into a more comprehensive review of marine fisheries data collection, management, and use. |
| data collection and management: Data Collection Wendy Olsen, 2011-11-04 This innovative book provides students and researchers alike with an indispensible introduction to the key theoretical issues and practical methods needed for data collection. It uses clear definitions, relevant interdisciplinary examples from around the world and up-to-date suggestions for further reading to demonstrate how to usefully gather and use qualitative, quantitative, and mixed data sets. The book is divided into seven critical parts: • Data Collection: An Introduction to Research Practices • Collecting Qualitative Data • Observation and Informed Methods • Experimental and Systematic Data Collection • Survey Methods for Data Collection • The Case Study Method of Data Collection • Concluding Suggestions for Data Collection Groups A stimulating, practical guide which can be read as individual concepts or as a whole this will be an important resource for students and research professionals. Wendy Olsen is Senior Lecturer at Manchester University, Institute for Development Policy & Management and Cathie Marsh Centre for Census & Survey Research |
| data collection and management: The Quality Toolbox Nancy Tague, 2004-07-14 The Quality Toolbox is a comprehensive reference to a variety of methods and techniques: those most commonly used for quality improvement, many less commonly used, and some created by the author and not available elsewhere. The reader will find the widely used seven basic quality control tools (for example, fishbone diagram, and Pareto chart) as well as the newer management and planning tools. Tools are included for generating and organizing ideas, evaluating ideas, analyzing processes, determining root causes, planning, and basic data-handling and statistics. The book is written and organized to be as simple as possible to use so that anyone can find and learn new tools without a teacher. Above all, this is an instruction book. The reader can learn new tools or, for familiar tools, discover new variations or applications. It also is a reference book, organized so that a half-remembered tool can be found and reviewed easily, and the right tool to solve a particular problem or achieve a specific goal can be quickly identified. With this book close at hand, a quality improvement team becomes capable of more efficient and effective work with less assistance from a trained quality consultant. Quality and training professionals also will find it a handy reference and quick way to expand their repertoire of tools, techniques, applications, and tricks. For this second edition, Tague added 34 tools and 18 variations. The Quality Improvement Stories chapter has been expanded to include detailed case studies from three Baldrige Award winners. An entirely new chapter, Mega-Tools: Quality Management Systems, puts the tools into two contexts: the historical evolution of quality improvement and the quality management systems within which the tools are used. This edition liberally uses icons with each tool description to reinforce for the reader what kind of tool it is and where it is used within the improvement process. |
| data collection and management: Fundamentals of Collection Development and Management Peggy Johnson, 2009-01-01 In this fully updated revision, expert instructor and librarian Peggy Johnson addresses the art in controlling and updating your library's collection. |
| data collection and management: Terminal Services for Microsoft Windows Server 2003 Brian S. Madden, Ron Oglesby, 2004 Annotation Written by two well-known industry experts, this book shows the reader how to design Terminal Server solutions with Microsoft Windows Server 2003. Rather than a re-hash of the product manuals, this book takes you step-by-step through each aspect of the design process. It focuses on architecture, server type and location, printing, security, management, application deployment, and user profiles. Whether you're using Citrix MetaFrame XP or just building a pure Terminal Server environment, this is the book you need to be successful. |
| data collection and management: DAMA-DMBOK Dama International, 2017 Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment. |
| data collection and management: Data Collection and Analysis Roger Sapsford, Victor Jupp, 2006-03-29 In simple and non-technical terms, this text illustrates a wide range of techniques and approaches used in social research projects. |
| data collection and management: Introduction to Space Syntax in Urban Studies Akkelies van Nes, Claudia Yamu, 2021-07-31 This open access textbook is a comprehensive introduction to space syntax method and theory for graduate students and researchers. It provides a step-by-step approach for its application in urban planning and design. This textbook aims to increase the accessibility of the space syntax method for the first time to all graduate students and researchers who are dealing with the built environment, such as those in the field of architecture, urban design and planning, urban sociology, urban geography, archaeology, road engineering, and environmental psychology. Taking a didactical approach, the authors have structured each chapter to explain key concepts and show practical examples followed by underlying theory and provided exercises to facilitate learning in each chapter. The textbook gradually eases the reader into the fundamental concepts and leads them towards complex theories and applications. In summary, the general competencies gain after reading this book are: – to understand, explain, and discuss space syntax as a method and theory; – be capable of undertaking various space syntax analyses such as axial analysis, segment analysis, point depth analysis, or visibility analysis; – be able to apply space syntax for urban research and design practice; – be able to interpret and evaluate space syntax analysis results and embed these in a wider context; – be capable of producing new original work using space syntax. This holistic textbook functions as compulsory literature for spatial analysis courses where space syntax is part of the methods taught. Likewise, this space syntax book is useful for graduate students and researchers who want to do self-study. Furthermore, the book provides readers with the fundamental knowledge to understand and critically reflect on existing literature using space syntax. |
| data collection and management: Journal of Database Management ( Vol 23 ISS 1) Keng Siau, 2011-12 |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
