Data management is a broad term that refers to a variety of disciplines that are aimed at ensuring the accuracy, accessibility and suitability of data in corporate systems. It encompasses everything from defining data architectures and creating a central system that unifies data, that supports analytics, and the technologies necessary to support it.
While the majority of tasks are typically performed by IT and data governance managers, it is essential that users of the business take part in the process to ensure that the data meets their needs now and in the future. This involves identifying data sets that are suitable for analysis and establishing policies to safeguard the data.
It’s time-consuming and requires effort to keep the record of all your data. It’s worth it because it will help you avoid costly mistakes that could halt your research project, from losing valuable research data to ignoring privacy regulations.
For example, documentation will help you retrace your steps if something goes wrong, for example, when a hard drive fails or the team member relocates to Jamaica. A well-documented research project can also enhance collaboration and accelerate research by making it possible for others to pick up where you left off.
Effective data management can also contribute to scientific communities as a whole, by increasing the credibility of new findings and allowing for greater educational application of the results. It can also allow for faster replication and more reliable reproducibility, reducing citrix sharefile storage zones controller features uncertainty and making it easier to compare and contrast results.
