Preparation of metadata

Metadata is data about data. Metadata provides structured information that helps identify, describe and understand data, making it both human-readable and machine-readable. They include, for example, indications of the author of the data, the date of creation, the format of the data, associated keywords or version information.
Metadata is essential for research data management and for the implementation of the FAIR principles of data discoverability, accessibility, interoperability and reusability.
Metadata can be added to a dataset in different ways. You can create a separate ReadMe a file describing the main information about the dataset. This ReadMe file can be added at the location where the long-term dataset is to be stored.
Metadata records are also created by depositing data in a repository and filling in the fields specified there. In this way, the repository can automatically generate references to the deposited dataset, as well as ensure discoverability in different information systems. Metadata makes it easy for researchers to find data, understand its structure, context and purpose, and incorporate it into future research.
It is advisable to consider how to collect the necessary metadata at the planning stage of the study, so that everything needed for the repository record is captured in time and important information is not lost in the process.

Preparation of metadata

Metadata is data about data. Metadata provides structured information that helps identify, describe and understand data, making it both human-readable and machine-readable. They include, for example, indications of the author of the data, the date of creation, the format of the data, associated keywords or version information.
Metadata is essential for research data management and for the implementation of the FAIR principles of data discoverability, accessibility, interoperability and reusability.
Metadata can be added to a dataset in different ways. You can create a separate ReadMe a file describing the main information about the dataset. This ReadMe file can be added at the location where the long-term dataset is to be stored.
Metadata records are also created by depositing data in a repository and filling in the fields specified there. In this way, the repository can automatically generate references to the deposited dataset, as well as ensure discoverability in different information systems. Metadata makes it easy for researchers to find data, understand its structure, context and purpose, and incorporate it into future research.
It is advisable to consider how to collect the necessary metadata at the planning stage of the study, so that everything needed for the repository record is captured in time and important information is not lost in the process.