Throughout your academic and professional career, your work will likely involve the collection, reuse, and sharing of different types of data. Data, much like any other product of your research, requires good management practices to benefit the quality of your work at the end of a project. Building good data management habits early on will help ensure that your work is more accurate, reproducible, and potentially more impactful over time.
In another course, Introduction to Research Data Management, we introduced some data management essentials that can help you organize and describe your data. However, good data management practices are also informed by the broader landscape of policies and ethics that affect your data. Many funders, publishers, and other researchers expect that research data be shared, when appropriate. Understanding expectations for data sharing, and the laws your data may be subject to, at the outset of a project can help you determine the best data management methods and infrastructures.
This micro-course will provide an introduction to the current landscape of policies and regulations that inform working responsibly with research data, and then will discuss developing plans for data management and data sharing.
By completing this course, you will be able to: