Towards an sustanaible Open Data ECOsystem (ODECO) (2021-2025)
ODECO is a 4-year Horizon 2020 Marie-Curie Innovative Training Network initiative (H2020-MSCA-ITN-2020, grant agreement 955569). The central aim of the ODECO consortium network is to train the next generation of creative and innovative early stage open data researchers, to unlock their creative and innovative potential to address current and future challenges in the creation of user driven, circular and inclusive open data ecosystem. The programme runs between October 2021 and September 2025 and will deliver 15 PhD degrees, in joint supervision and training between the public and private sectors.
ODECO is a collaboration of TU Delft (Faculty of Architecture and the Built Environment, Faculty of Industrial Design and Engineering, and Faculty of Technology, Policy and Management), KU Leuven (Belgium), Centre National de la Recherche Scientifique (France), University of Zaragoza (Spain), University of the Aegean (Greece), Aalborg University (Denmark), University of Camerino (Italy) and Huffington Post (Greece). KCOD’s Bastiaan van Loenen coordinates the ODECO project.
For more information see this news item or contact Bastiaan van Loenen.
Twinning Open Data Operational (TODO) (2019-2022)
The main objective of the project is to strengthen the interdisciplinary scientific excellence and innovation capacity of the UNIZG in the field of open data by cooperation with internationally-leading counterparts from the Netherlands (Delft University of Technology) and Greece (University of the Aegean).
Five objectives that need to be fulfilled to achieve the main objective:
- Objective 1: To establish an open data research environment that will facilitate and stimulate interdisciplinary multi-domain open data research within and beyond UNIZG, TUDELFT and UAEGEAN.
- Objective 2: To enhance the overall scientific R&I capacity of UNIZG significantly in the field of open data.
- Objective 3: To increase the research excellence of UNIZG, TUDELFT and UAEGEAN by collaboratively developing and applying an interdisciplinary and multi-domain open data research approach.
- Objective 4: To extend UNIZG strategic partnerships and strengthen its visibility and reputation among the national and international research community, industry, policy-makers and the general public.
- Objective 5: To secure a sustainable environment for future collaborations between UNIZG, TUDELFT and UAEGEAN.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement Number 857592 – TODO
SPIDER: open SPatial data Infrastructure eDucation nEtwoRk (2019-2022)
Currently, SDI education around the globe is characterized by single disciplinary or siloed views missing out on opportunities of a holistic, multidisciplinary view on SDI. In addition, the recent Open SDI trend has not been implemented in any SDI curriculum yet. Moreover, teaching methods are still limited to traditional teaching in the classroom. As a consequence, there is barely an international exchange of educational material and approaches on open SDI among universities. An overview and detailed analysis of existing SDI education is unavailable and an international platform facilitating the SDI education is lacking.
The overarching objective of the project is to promote and strengthen active learning and teaching towards Open SDI.
Objectives are:
1. To explore, develop and implement the concept of Open SDI as a new paradigm to SDI education
2. To develop and promote active and multidisciplinary learning and teaching on Open SDI
3. To develop a general toolkit for implementing Open SDI in existing curricula in study programs of different disciplines
4. To drive the uptake of Open SDI teaching and learning resources by teachers and students via open online platforms Project participants/ description of activities
SPIDER is an ERASMUS+ project funded under KA2 Cooperation for innovation and the exchange of good practices, KA203 – Strategic Partnerships for higher education.
Open Spatial Data Infrastructure (Open SDI)
In the search for the ideal spatial data infrastructure a common ground has been established for the development of open spatial data infrastructures. Starting from confidential, highly restricted data with use limited to particular public sector users, SDIs across Europe have developed towards a wider focus, civil society oriented infrastructure enabling a multitude of users to access, share, use and re-use datasets and services from a wide variety of domains both nationally and internationally. Especially in recent years, several countries and public administrations started to make a shift towards the establishment of an open spatial data infrastructures (SDIs), in which also businesses, citizens and non-governmental actors were considered as key stake-holders of the infrastructure.
In this project we assess the openness of Spatial Data Infrastructures. Part of this project is the creation of the ‘Map of Open SDI in Europe’ which is developed to provide SDI decision makers, practitioners and researchers with a more comprehensive understanding of the openness of spatial data infrastructures in Europe. The Map covers three key dimensions of Open SDIs: readiness, implementation and impact. The map provides an overview of the status of Open SDIs in different European countries. The project builds on the work of students of the MSc. Geomatics for the Built Environment. More information about the project can be found in the publication: Vancauwenberghe, G., K. Valeckaite, B. van Loenen & F. Welle Donker (2018). Assessing the Openness of Spatial Data Infrastructures (SDI): Towards a Map of Open SDI. International Journal of Spatial Data Infrastructure Research, 13, 88-100.
See also the documentation of the 2019 Workshop Towards Open SDI/AGILE and 2017 Workshop Map of Open SDI/INSPIRE.
Safeguarding data protection in an open data world (SPOW) (2015-2019)
The European Union’s policy on open data aims at generating value through the re-use of public sector information, such as geographical data. Open data policies should be applied in full compliance with the principles relating to the protection of personal data as safeguarded in the European data protection legal framework. Increased computer power, advancing data mining techniques and the proliferation of publicly available big data extend the scope of the European data protection legal framework to much more (geographic) data than currently assumed and acted upon and could in effect obstruct the implementation of open data policies in the EU. Given the importance of open (geographical) data for smart city concepts, the imbalance between open data and data protection regulations may block the further development and implementation of smart cities. This research will apply the requirements for effective co-design of data protection and open data regulations to the smart city domains of transport, energy and eHealth with a view to boosting innovation and strengthening the economy.
The STIG: Stress Testing the Infrastructure for Geographic information (2011-2019)
Spatial data infrastructures (SDI) facilitate the collection, maintenance, dissemination and use of spatial information. To stimulate SDI development effectively and efficiently, it is key to assess the progress and benefits of the SDI. SDIs are difficult to assess because of their complex, dynamic, multi-faceted and constantly evolving nature. Several SDI assessment methods exist. However, these assessment methods are still in an infancy stage and none of these assessment methods appears to meet the requirements of practitioners. As a result, SDI decision makers are still without any guidance on the success of their SDI. In this research, we propose a new method for SDI assessment: The STIG, a Stress test for Infrastructures of Geographical information. The development and application of the Stress-test methodology will provide new valuable information for decision-makers about the aspects of SDIs that need to be improved in order to exploit the full potential benefit of the SDIs, especially in the instance of disaster management.
4D Open Spatial Information Infrastructure for Participatory Urban Planning Monitoring (2016-2019)
In this PhD research project, Agung Indrajit aims to answer the following research question: “How to design and implement participatory 4D information system for urban planning monitoring built on open (governance and technical) Spatial Information Infrastructures in order to enable participatory urban planning monitoring?”. Urban planning monitoring and its verification will be crucial in any smart/future cities. By allowing citizen to contribute spatial information to government to support the evaluation, reporting and verification of the implementation of urban planning, local government will comply with open government principles.By sharing and using the same reference, Open Spatial Information Infrastructure can perform optimally as a foundation for participatory urban planning monitoring. The PhD project will investigate how open government data principles could be integrated into SII initiatives to contribute to urban planning monitoring with agreeable quality for decision making. The research will develop an open spatial data governance model, master open spatial data management model, and prototype of Participatory Urban Planning Monitoring (PUPM). This research will perform case study research in typical smart cities such as Rotterdam (Netherlands), and Jakarta and Bandung (Indonesia).