Data management is a set of various disciplines that aim to ensure that the information within your corporate systems are complete, accessible and satisfies the business requirements. It covers everything from defining data architectures, to creating an integrated system that unifies data, supports analytics and the technologies required to facilitate it.

While the majority of the tasks are typically handled by IT and data governance managers, it’s the original source essential that business users participate in the process to ensure that the data is suitable for their requirements now and in the future. This includes identifying data sets which are suitable for analysis, and setting policies to protect the data.

Monitoring your data requires time and effort. It’s worth it since it can help you avoid the costly mistakes which could otherwise stall your project, from losing important research data to violating privacy regulations.

Documentation can be used to trace steps in the event of a malfunction, like a malfunctioning hard drive or a teammate moving to Jamaica. A well-documented research project can help improve collaboration and speed up research by making it possible for others to pick up where you have left off.

Effective data management also can aid scientific communities as a whole by improving the credibility of new discoveries and allowing for a greater educational use of the findings. It can also result in faster replication, better reproducibility and less uncertainty.