Data management

Data are in many forms. Different file formats, different data structures, different scopes, and different sizes. They may use different units and standards within. There are also difference stages of data management: ranging from data acquisition, data cleaning, data modelling, data processing, to data enrichment, data publication, and data reuse. There is a complicated data lifecycle.
Data access is another issue. Data can be private or public and strictly confidencial or sensitive. Data may need to be published with a license or in the public domain. Data can be FAIR (Findable, Accessible, Interoperable, and Reusable).

If you find it hard to use data from different sources, we can provide excellent data management expertise