How to create a data management plan for an online research project by
Data management plans (DMPs) offer a clear pathway for data through every step of the research process. This guide introduces DMPs, why they are useful, and covers the various components of DMPs, including management, security, ethics, data retention, and sharing. While no one document can cover all the differences in data, methods, and norms that different research types and fields require for DMPs, this guide offers a first step to understanding and creating DMPs. Specific guidance for different fields and funders can be found through the web resources listed in this guide or through specific institutional, field, or funder portals.
Principles of Data Management by
Data is a valuable corporate asset and its effective management is vital to an organisation's success and survival. With this book you will learn to master the key principles of data management and use them to implement best practices in your organization. This professional guide covers all the key areas of data management, including database development and corporate data modelling. It is business-focused, providing the knowledge and techniques required to successfully implement the data management function. This fully updated new edition provides new chapters on the most important data topics such as big data, artificial intelligence, linked data and concept systems. Principles of Data Management is fully aligned with syllabus for the BCS Professional Certificate in Data Management Essentials, making this the go-to text to unlocking the value of your data. Ideal for business managers and all involved in the development of information systems as well as data management professionals Comprehensive and descriptive view of data management Suitable for all levels, from beginners to advanced learners Must-read for anyone involved in the development of systems to manage data
Practical guide to clinical data management by
The management of clinical data, from its collection during a trial to its extraction for analysis, has become critical in preparing a regulatory submission and obtaining approval to market a treatment. Groundbreaking on its initial publication nearly fourteen years ago, and evolving with the field in each iteration since then, this latest volume includes revisions to all chapters to reflect the recent updates to ICH E6, Good Clinical Practices, electronic data capture and interactive response technologies. Keeping the coverage practical, the author focuses on the most critical information that impacts clinical trial conduct, providing a full end-to-end overview for clinical data managers.