Marek Nahitko from the Jagiellonian University here in Krakow first presented a definition of maturity models as tools to support the assessment of current and future states of a process, person or group. They contain the most important elements of efficiency in the system, and contain successive levels of a desired path. They are usually presented in the form of a matrix where rows describe the dimensions of maturity and the columns describe the levels. It is possible to identify areas for improvement by examining the intersections between rows and columns. Rubrics are used to evaluate information and data literacy, and these are normally used to support the assessment of various activities and develop scoring schemes. There are a lot of similarities between rubrics and maturity models, rubrics are a type of maturity model that focus specifically on the user of information and their training needs. Marek’s research focused on determining the place and role of digital literacy in existing research data management services maturity models. Dimensions were divided into 4 groups, and compared with a specific technology acceptance model. User characteristics were the least prevalent group, and system characteristics were the most prevalent group. One of the indicators if information system maturity is the information and digital literacy of its users, so research data management developers need to consider user education as an aspect of service development
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