AGILE 2018 Workshop ‘SDI Research and Strategies towards 2030’

Aim and objectives

The aim of the ‘SDI Research and Strategies towards 2030’ Workshop is to initiate the definition of a renewed Spatial Data Infrastructure Research Agenda for ‘SDI Research and Strategies towards 2030’, incorporating both technical and non-technical perspectives and research challenges. The workshop will take place on Tuesday 12 June 2018, in Lund (Sweden).

The workshop has three objectives:

  1. To provide an overview of recent and ongoing research on SDI and related topics
  2. To identify gaps and challenges in SDI research and define a research agenda for future SDI research
  3. To (re-)establish a research community for SDI research that promotes and enables active collaboration and engagement across multiple disciplines and regions

Workshop program

9:00 – 9:30 Welcome and introduction

9:30 – 11:00 Session 1 – SDI 2030: governance for innovation and sustainability

11:00 – 11:30 Coffee break

 11:30 – 13:00 Session 2 – SDI 2030 for integration, visualization and exploration

13:00 – 14:30 Lunch break

 14:30 – 16:00 Session 3 – SDI 2030 and Open Data

16:00 – 16:30 Coffee break

16:30 – 18:00 Discussion and next steps


Workshop results (preliminary)

The figure above shows a word cloud of the research topics proposed by the workshop participants. The results of the breakout group discussions on future research topics and actions to foster collaboration in SDI research have been summarized in a presentation.




Glenn Vancauwenberghe – TU Delft, The Netherlands

Bastiaan van Loenen – TU Delft, The Netherlands

Joep Crompvoets – KU Leuven, Belgium

Lars Bodum – Aalborg University, Denmark

Ali Mansourian – Lund University, Sweden


More information

See the workshop call for abstracts and the AGILE 2018 Conference website.


This workshop was partly organized under the project ‘Effective Governance of Open Spatial Data’ (E-GOS).  This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 706999.

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