In general, data is a symbolic representation (numeric, alphabetic) of an attribute or characteristic of an entity. For data to have semantic value, it is advisable to go through a series of phases. Data tends to transform into information to convey meaning, knowledge, ideas, or conclusions.

Research data is all the information that has been gathered, observed, generated, or created from the beginning to the end of a project. The set of data accumulated during the development of a project, necessary to validate the results, covers a wide range of types of information, and the data can be structured and stored in a variety of file formats.

FAIR data refers to research data and its metadata that adhere to the principles of findability, accessibility, interoperability, and reusability. For a dataset to meet FAIR principles, the data and its metadata should be deposited openly as much as possible.

A dataset is a collection of information related to a specific topic that can be analyzed as a single entity. Datasets can be tabular or non-tabular, categorized by the type of information they contain, such as:

• Numeric
• Categorical
• Correlation
• Bivariable
• Multivariable

In RDR, a dataset is a container that can include data, documentation, code, and metadata describing this collection of data.