A clear, highly readable introduction to responsible data management practices across the data's lifecycle, created by the Responsible Data Community, dedicated to promoting and protecting the privacy, equity, transparency, and security of data in the 21st century social sector, in order to most effectively and ethically use data for social change. The handbook includes chapters on designing your research project; setting up your data infrastructure and data management plan; collecting data for your project; cleaning, preparing, and verifying the data; as well as sharing, archiving, and preserving the data.
Published in Scientific Data in 2016, the "FAIR Guiding Principles for scientific data management and stewardship" are intended as guidelines to improve the findability, accessibility, interoperability, and reuse of digital research data. The principles emphasise machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention).
Research Data Management and Sharing (Coursera)
The course provides an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Learners will also understand the impetus and importance of archiving and sharing data as well as how to assess the trustworthiness of repositories.
Length: 5 weeks (self-paced).
Learning Data Governance (LinkedIn Learning)
A well-rounded data governance process can help ensure the consistent quality, availability, integrity, and usability of your data. The course explains how to begin to implement a data governance program within any organization. Learn the components of data governance, its strategic value, the roles and responsibilities of stakeholders, and the overall steps that an organization needs to take to manage, monitor, and measure the program.
Length: 40 minutes. (Free access with Bucknell login.)