Compliance Requirements in Research

Scientific research has traditionally been conducted in a culture of openness. However, increasingly in the last decade, various concerns have resulted in more regulations about keeping research data and processes secure from accidental corruption and loss and--more importantly--from theft. While the data is the primary asset of value that needs to be protected, various flavors of data are part of workflows that can be complex and require special infrastructure to support. Examples include raw data from measurement devices and sensors, intermediate data in the form of lab notes, computer software and simulation datasets, and final reports and publications. To keep data secure, laboratory spaces, instruments, computer systems, and data networks are in scope for protection.