Data maturity is an important topic in data management, which is reflected by a growing number of tools and theories trying to measure it. Data maturity describes the degree of the formalization/standardization of a data object with respect to FAIRness and quality of the (meta-)data.
Currently, the DataCite Metadata Schema does not provide an explicit property to link/store information on data maturity (e.g. FAIRness or quality of data/metadata). The AtMoDat project team drafted an extension to the DataCite Metadata Schema to host such information. This extension is denoted as “Data Maturity Indicator”.
The English-language webinar "Data Maturity Indicator" on 1 July 2020, which is being held jointly by the German Climate Computing Center (DKRZ) and the TIB – Leibniz Information Centre for Science and Technology as part of the AtMoDat project, will focus on the Data Maturity Indicator. Dr. Daniel Heydebreck (DKRZ) will first give a short presentation of the indicator in the 45-minute webinar and will then be available for discussion. Based on the feedback from the webinar, the Data Maturity Indicator will be revised and submitted to the DataCite metadata working group in the next months.
The participation in the webinar is free of charge, a registration is not necessary.
Link to the webinar room: https://global.gotomeeting.com/join/554066501