Data Introduction: Further Reading

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.

The current industry approach to using electronic data capture (EDC) for most studies. The most critical information that impacts clinical trial conduct, providing a full end-to-end overview or introduction for clinical data managers.

It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case studies, each of which demonstrates a concrete application of abstract principles in a current practice. An essential addition to the toolkit of every linguist, guiding researchers toward making their data FAIR- Findable, Accessible, Interoperable, and Reusable.

Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis.