Establishment of sustainable data ecosystems(1)
- 1. June 28, 2021 Prune GAUTIER Sébastien MARTIN Alexander KOTSEV Slim TURKI
- 2. Establishment of Sustainable data Ecosystems 2 Study, in the context of the ELISE ISA² action, run in 2020 by the Luxembourg Institute of Science and Technology (LIST) in close collaboration with Joint Research Centre of the European Commission. Identify and analyse a set of successful data ecosystems and to address recommendations in support of the evolution of contemporary spatial data infrastructures (SDIs) and implementation of data-driven innovation in line with the European Data Strategy. Empirical approach Desk research (Academic literature, Public Reports, Stakeholders' documentation , etc.) Qualitative data (Interviews) Modular analysis framework
- 3. In-depth analysis Establishment of Sustainable data Ecosystems 3 Local Data Ecosystem •Rennes Métropole •Collaborative and partnership-based local data strategy •Inclusive & sustainable governance model •City as trusted third- party: citizens to take back control over their personal data •RUDI (Rennes Urban Data Interface) Geospatial Data Marketplace •UP42 •Platform gathering geospatial data and processing algorithms •Revenue sharing model: Value distribution across the stakeholders Tracking technologies for supply chain •SPIRE •Constellation of nanosatellites •Earth Observation •Maritime: AIS messages •Weather: Radio occultation •Aviation: ADS-B data Smart Agriculture •API-AGRO •B2B data exchange platform for the agricultural sector •functional, technical, commercial and legal framework Disaster Management •Brussels emergency services •Common Data on Topography, Climate and Water, DK •Emergency Management phases •Mitigation •Preparedness •Response •Recovery •Time dimensions •Real-time •Historical and Simulation
- 4. Establishment of Sustainable data Ecosystems 4
- 5. Interactions between stakeholders Establishment of Sustainable data Ecosystems 5 Value networks modelling Illustrate resources exchanged between the stakeholders, and their value - follow the value creation - highlight the orchestration - evaluate the sustainability of the ecosystem 2
- 6. Data life cycles Establishment of Sustainable data Ecosystems 6 Proxy of maturity and health of an ecosystem Approach and graphical representation are derived from product lifecycle model 3
- 7. Establishment of Sustainable data Ecosystems 7
- 8. Governance Establishment of Sustainable data Ecosystems 8 1. Building a collaborative governance of the ecosystem. 2. Identifying the most relevant actor(s) to embrace the role of orchestrator depending on the nature and evolution of the ecosystem. 3. Clear consideration (roles, benefits, needs and means) for all stakeholders ensure the willingness to make the data ecosystem sustainable. 4. Creation of a platform provides a strong incentive to structure the ecosystem. 5. Avoiding a fragmented landscape of stakeholders and a lack of centralised governance. 6. Importance of considering and aligning stakeholders' different cultures. 7. Exploring the role of local authorities in local data ecosystems over time 8. Importance of networks.
- 9. Stakeholder Engagement Establishment of Sustainable data Ecosystems 9 1. Defining and integrating the relevant stakeholders enabling the success of the ecosystem. 2. Distributing value between the stakeholders. 3. Considering citizen as true stakeholders. 4. Promoting data literacy among all stakeholders. 5. Organising events to increase awareness in the ecosystem and interactions frequency. 6. Building a data social network at the scale of the ecosystem. 7. Raising awareness on the incentive function played by Regulators. 8. Emphasizing the role of NGOs.
- 10. Technical issues Establishment of Sustainable data Ecosystems 10 1. Fostering ecosystem sustainability through problem solving approach, leading to new data cycles. 2. Strengthen the relationship between the data ecosystem development and the digital transformation of stakeholders. 3. Grasp the opportunities for data sharing by private companies as result from the GDPR entry into force. 4. Fostering data crowdsourcing. 5. Stimulate the datafication of a broader range of sectors. 6. Integrating data ecosystems and data cooperatives & trusts. 7. Put the APIs at the core of the approach. 8. Choosing the platform architecture (tools and capacity) based on the specific features of the ecosystem. 9. Integrating in the platform not only data but also services and even computational infrastructure. 10. Data standardisation is an enabling condition to the emergence of data ecosystems. 11. Identify and adopt the suitable data and metadata models, standardised where possible. 12. Aligning the data ecosystem with other components such as cloud and software ecosystems. 13. Facilitate the access to real time data and time series.
- 11. Economic Sustainability Establishment of Sustainable data Ecosystems 11 1. Integration of Open Access, Open Source, Open Innovation and Open data Paradigms. 2. Emphasising an adaptive and agile orchestration for the ecosystem evolution, especially for data collection. 3. The creation of a platform is a strong enabler of business opportunities and implementation, as well as related data flows. 4. Synergies between individual stakeholders’ business models are the key condition for the overall ecosystem sustainability. 5. Data ecosystems rely on long-term engagements. 6. Legal issues are framing the ecosystem through the definition of users' interaction rules. 7. Strong political and societal support facilitate the sustainability of the data ecosystem. 8. Extracting the value of personal data.
- 12. Establishment of Sustainable data Ecosystems 12 Beyond the data provision paradigm, ecosystem thinking is a reliable approach to understand and to steer the development of data ecosystems A combined approach including ecosystem thinking and orchestration is crucial to ensure the ecosystem’s self-sustainability and break existing silos, but also ensure that new silos will not emerge. The recommendations provided in this document are empirically based, and some other topics should be elaborated in further works, like e.g. the certification for actors in the data economy, the particular case of decentralised governance, implication and potential of cloud computing. Strong relation with the European Data Strategy (2020), and the consecutively launched legislative initiatives such as the Data Governance Act and the forthcoming Implementing Act for High-value datasets as defined under the Open Data Directive.
- 13. thank you contact information For more info, please contact us at [email protected] [email protected] joinup: https://joinup.ec.europa.eu/node/702927 URI: https://publications.jrc.ec.europa.eu/repository/handle/JRC124148 DOI: 10.2760/04462