Potential Of Open Data Research Articles

Towards a framework for Open Data literacy in education: A systematic mapping review of Open Data skills and learning approaches

Open Data (OD) is defined as digital data that is made available with the technical and legal characteristics necessary to be freely used, reused, and redistributed by anyone, anytime and anywhere. Although OD can be seen as a commons, citizens often face challenges in accessing, using and making sense of available open datasets. Current literature identifies a lack of data expertise as one of the main barriers and emphasises the importance of strategies for training and teaching the appropriate competencies. Furthermore, a clear definition of OD skills and learning approaches is missed. A two-sided systematic mapping review with a focus on the educational domain was conducted to identify relevant OD skills and the approaches facilitating the development of these competencies. The results section presents a map of OD skills and learning approaches, while the discussion section elaborates on the potential of OD in education to empower students with skills and competencies to better understand their context, act in their everyday life environment and address future challenges. The current contribution is an OD literacy framework that puts OD at the centre of competence-based education, fostering responsible citizenship necessary for addressing today’s societal challenges.

INNOVATION IN TEACHING: THE POLIMAPPERS COLLABORATIVE AND HUMANITARIAN MAPPING COURSE AT POLITECNICO DI MILANO

Abstract. Collaborative projects imply a wide variety of skills, ranging from technical abilities to teamwork and problem-solving attitudes. Innovative teaching programmes focused on the use and promotion of open-source geospatial tools represent a key element in developing such transversal abilities. OpenStreetMap (OSM) brings into play open and collaborative dynamics that build a critical ecosystem where single contributions are part of collective intelligence. This initiative led to the foundation of structured contributors groups such as PoliMappers, the first European YouthMappers chapter based in Politecnico di Milano (Italy). Pursuing the objective to build a responsible student-led community of Free and Open Source Software users, in 2021 PoliMappers organised the course entitled “Collaborative and Humanitarian Mapping”. The programme is structured into 7 meetings and aims to introduce university students to the OSM environment with a focus on the potential of open data and related geospatial tools, especially in the humanitarian field. It has seen the participation of the World Food Programme, Open Knowledge Foundation, TECHO Colombia, IMM Design Lab, Map for Future, UN Mappers, Spazio Vita Niguarda Onlus, Ledha Milano, AUS Niguarda Onlus and Humanitarian OpenStreetMap Team. Enrolled attendants’ contributions have been assessed with tools for quality review and statistics. Also, Q&As and suggestions to the attendants have been collected to detect common issues. The paper presents the course, from the design to the assessment of the students’ activities, and the lessons learned in this experience in such a way to provide some guidance to those who want to organize similar initiatives.

Opening Pandora\u2019s Box: Peeking inside Psychology\u2019s data sharing practices, and seven recommendations for change

Open data-sharing is a valuable practice that ought to enhance the impact, reach, and transparency of a research project. While widely advocated by many researchers and mandated by some journals and funding agencies, little is known about detailed practices across psychological science. In a pre-registered study, we show that overall, few research papers directly link to available data in many, though not all, journals. Most importantly, even where open data can be identified, the majority of these lacked completeness and reusability—conclusions that closely mirror those reported outside of Psychology. Exploring the reasons behind these findings, we offer seven specific recommendations for engineering and incentivizing improved practices, so that the potential of open data can be better realized across psychology and social science more generally.

Potential of open data in the Czech Republic

The paper Potential of open data in the Czech Republic deals with the current situation of open data government and autonomous institutions in the Czech Republic in comparison with other European Union countries (Great Britain, France, Belgium, Austria, Estonia, ...) and defines the possibilities of open data economic development of the Czech Republic. Methodology of the paper includes a search resources dealing with the issue of open data in the Czech Republic and the European Union, comparing the obtained data, the analysis of obtained data and draft of recommendations for further development. The first part is an evaluation of the current situation and the situation compared with other EU countries. Further conditions for further development and evaluation of the potential of open data for the Czech Republic. The final section of the paper deals with evaluation of possibilities open application data management processes of companies in the Czech Republic in terms of strategic and innovation management. The result is an overview of the potential use of open data in the context of economic development and an estimate of the trend in applications open at the government level.

Potential of Open Data in the Agricultural eGovernment

Potential of Open Data in the Agricultural eGovernment

Potential of Open Data in the Agricultural eGovernment

Potential of Open Data in the Agricultural eGovernment