Suchergebnisse

"Effective Research Data Management (RDM) is a key component of research integrity and reproducible research, and its importance is increasingly emphasised by funding bodies, governments, and research institutions around the world. However, many researchers are unfamiliar with RDM best practices, and research support staff are faced with the difficult task of delivering support to researchers across different disciplines and career stages. What strategies can institutions use to solve these problems?

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 and the organisational context, the authors of this book have created an essential resource for organisations looking to increase engagement with their research communities.

This handbook is a collaboration by research institutions, for research institutions. It aims not only to inspire and engage, but also to help drive cultural change towards better data management. It has been written for anyone interested in RDM, or simply, good research practice.

"This concise book uses narrative fiction to address how researchers can conduct qualitative research using both online and first-hand data and digital and face-to-face methods. The book is structured around four phases of the research process - accessing management field research, writing the literature review, collecting and analysing data and enacting qualitative research and finally the creative process of writing qualitative research. Theory and practice are merged through a situation-based case study within each chapter, with the methods and tools employed in each context explored through narrative fiction. The protagonists of each case have specific questions, emotions and ambiguities that qualitative researchers need to face, offering a unique approach to the practice of qualitative research and how it is used in real-life situations. Founded on the idea of enacting and not just doing qualitative research, this book offers toolkits that the researcher can use to operationalize research from start to finish. It will be of interest to postgraduate students conducting research-based projects in Business and Management, PhD researchers and academics looking for a fresh approach"--

"This book addresses different aspects of data management and ethical issues in research such as data collection, data processing, data storage and retention among others to produce a very comprehensive and highly informative book on Ethical Data Management and Research Integrity"--

This book aims to help the reader better understand the importance of data analysis in project management. Moreover, it provides guidance by showing tools, methods, techniques and lessons learned on how to better utilize the data gathered from the projects. First and foremost, insight into the bridge between data analytics and project management aids practitioners looking for ways to maximize the practical value of data procured. The book equips organizations with the know-how necessary to adapt to a changing workplace dynamic through key lessons learned from past ventures. The book's integrated approach to investigating both fields enhances the value of research findings.

The dynamic network of 31 research data centres (RDCs) accredited by the German Data Forum (Rat für Sozial- und Wirtschaftsdaten, RatSWD) provides science and research with comprehensive access to quality-assured and sensitive data. The annual number of processing requests and publications indicate that the data and services provided by RDCs are in high demand. They also underscore the importance of the research data centres for the social, behavioural and economic sciences. As shown in two new publications by the German Data Forum, the research data infrastructure is highly effective and can serve as a best practice model on a national and international level.

Big Data collected by customer-facing organisations – such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart energy meter readings – account for most of the data collected about citizens today. As a result, they are transforming the practice of social science. Consumer Big Data are distinct from conventional social science data not only in their volume, variety and velocity, but also in terms of their provenance and fitness for ever more research purposes. The contributors to this book, all from the Consumer Data Research Centre, provide a first consolidated statement of the enormous potential of consumer data research in the academic, commercial and government sectors – and a timely appraisal of the ways in which consumer data challenge scientific orthodoxies.