On Portrait of a Specialist in Open Data
Irina Radchenko, Anna Koroleva, Yaroslav Baranov

TL;DR
This paper identifies the skills and requirements for Open Data specialists, emphasizing the need for specialized training for non-IT students across various fields to address digital illiteracy and improve data handling skills.
Contribution
It generalizes the requirements for Open Data experts and advocates for creating dedicated educational programs for non-IT students to develop necessary open data competencies.
Findings
Highlighting the importance of open data skills across multiple disciplines
Overview of information sources for hiring open data specialists
Justification for creating specialized open data courses for non-IT students
Abstract
The article is written to identify the requirements for Open Data Specialist. The ability to use and work with open data affects many areas: sociology, urban studies, geography, statistics, public administration, data journalism, etc. It is especially important to develop and implement training courses on open data for non-IT students. Typically, the specialization of these students contains insufficient number of lessons on working with data and with open data. Students (hereinafter - researchers) feel a great need to eliminate "digital illiteracy" and to master the skills of working with open data. The development of a specialty on open data is designed to solve the problem of lack of knowledge and skills in working with open data. In this paper, the authors attempt to generalize the requirements for an expert in open data and offer an overview of information sources on the topic of…
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Taxonomy
TopicsAdvanced Graph Neural Networks · Semantic Web and Ontologies · Data Quality and Management
