The age of Big Data has significantly changed how research is now conducted. Volume, variety, and velocity of data have all increased while the veracity of data has declined. Handling these new challengers in the world of data requires knowledge of new tools, methods, and sources. It also requires knowledge of the lifecyle of data in order to plan for effective data management. The purpose of this guide is to lead researchers through the essentials of data management rendering their data easier to use and interpret, accessible now and in the future, publishable and reusable, and compliant with funder and journal policies.
Coursera Data Management for Clinical Research - This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research.
Coursera Research Data Management and Sharing Online Course - After completing this course, learners will be better equipped to manage data throughout the entire research data lifecycle from project planning to the end of the project when data ideally are shared and made available within a trustworthy repository.
Data Carpentry - Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research.
DataONE Best Practices - Provides individuals with recommendations of how to effectively work with their data through all stages of the data lifecycle.
MANTRA Data Management Training Modules - Free online course for those who manage digital data as part of their research project.
UK Data Service - Guidance and training for the development of skills in data use.
