Interoperability

Achieving data interoperability requires addressing challenges across three key dimensions. Organizationally, effective coordination and collaboration among stakeholders with diverse goals, priorities, and workflows is essential. Clear governance structures must define roles, responsibilities, and accountability. Regulatory and ethical considerations involve addressing privacy, consent, and ownership issues while ensuring compliance with regulations like GDPR. Technical challenges include overcoming disparate data formats, incompatible schemas, and differing standards across systems.

Several approaches have emerged to address these challenges. Metadata standards provide information about data characteristics, helping to organize, find, and understand it. Technical standards for formats and communication protocols facilitate smooth exchange and integration. Data contracts define structure and usage, establishing clear connections between producers and consumers. Data warehouses centralize storage and management, integrating information from various sources into a unified view.

The impact of effective interoperability extends far beyond technical efficiency. It supports sustainable urban development by enabling more informed decision-making and resource allocation. It improves public services by facilitating the integration of diverse information sources to create more responsive and citizen-centric solutions. It fosters economic growth through data-driven innovation and collaboration across different sectors and stakeholders.

As we move forward, pursuing interoperability requires continued investment in technological solutions, governance frameworks, and stakeholder engagement. By addressing all dimensions comprehensively, we can create systems that exchange data in ways that are secure, ethical, and beneficial to all involved. The ultimate goal is harnessing the full potential of our data resources to create more efficient, sustainable, and livable communities for the future.
 

Technical

Janssen, Marijn and Estevez, Elsa and Janowski, Tomasz (2014): "Interoperability in big, open, and linked data--organizational maturity, capabilities, and data portfolios"

Maratsi M.I., Ali M., Alexopoulos C., Saxena S., Rizun N., Charalabidis Y. (2023): "Analyzing Open Government High Value Datasets: Availability, Publishers' Contribution and Technical Specifications"

Nikiforova A., Alexopoulos C., Rizun N., Ciesielska M. (2023): "Identification of High-Value Dataset determinants: is there a silver bullet for efficient sustainability-oriented data-driven development?"

Nikiforova A., Rizun N., Ciesielska M., Alexopoulos C., Miletić A. (2023): "Towards High-Value Datasets Determination for Data-Driven Development: A Systematic Literature Review"

Milic P., Veljkovic N., Stoimenov L. (2021): "Comparative Analysis of Metadata Models on e-Government Open Data Platforms"

Raça V., Veljković N., Velinov G., Stoimenov L., Kon-Popovska M. (2020): "Real-Time Monitoring and Assessing Open Government Data: A Case Study of the Western Balkan Countries"

Crusoe J., Simonofski A., Clarinval A., Gebka E. (2019): "The impact of impediments on open government data use: Insights from users"

Belhiah M., Bounabat B. (2017): "A user-centered model for assessing and improving open government data quality"

Rejeb, Abderahman et al. (2022): "Charting Past, Present, and Future Research in the Semantic Web and Interoperability"

Sony, P., Sureshkumar, Nagarajan (2022): "Semantic Interoperability Model in Healthcare Internet of Things Using Healthcare Sign Description Framework"

Lu, Junyu et al. (2022): "A Sustainable Solution for IoT Semantic Interoperability: Dataspaces Model via Distributed Approaches"

Louge, Thierry, Karray, Mohamed-Hedi, Archimède, Bernard (2022): "Using Adaptive Logics for Expression of Context and Interoperability in DL Ontologies"

Khatoon, P. Salma, Ahmed, Muqeem (2022): "Importance of semantic interoperability in smart agriculture systems"

Hazra, Abhishek et al. (2023): "A Comprehensive Survey on Interoperability for IIoT: Taxonomy, Standards, and Future Directions"

Sachdeva, Shelly, Bhalla, Subhash (2022): "Using Knowledge Graph Structures for Semantic Interoperability in Electronic Health Records Data Exchanges"

Albouq, Sami Saad et al. (2022): "A Survey of Interoperability Challenges and Solutions for Dealing With Them in IoT Environment"

Nilsson, Jacob (2022): "Machine Learning Concepts for Service Data Interoperability"

Radzio, Frank, Sjut, Boje (2022): "Übersicht Plattform Mobility Live Access"

Dai, Wenbin William et al. (2019): "Semantic Integration of Plug-and-Play Software Components for Industrial Edges Based on Microservices"

Balasubramani, Booma Sowkarthiga, Cruz, Isabel F. (2019): "Spatial Data Integration"

Bonifati, Angela, Ileana, Ioana (2019): "Graph Data Integration and Exchange"

Rahm, Erhard, Peukert, Eric (2019): "Holistic Schema Matching"

Gal, Avigdor (2019): "Uncertain Schema Matching"

Papotti, Paolo (2019): "Schema Mapping"

Boniotti, Giulia et al. (2021): "A Conceptual Reference Model for Smart Factory Production Data"

Aksu, Dogukan, Aydin, M. Ali (2019): "A Survey of IoT Architectural Reference Models"

Wasserman, Anthony I. (1990): "Tool integration in software engineering environments"

Guo, Jingzhi (2014): "SDF: A Sign Description Framework for Cross-Context Information Resource Representation and Interchange"

Thangaraj, Muthuraman et al. (2016): "Agent based Semantic Internet of Things (IoT) in Smart Health care"

Verhagen, Marc et al. (2015): "The LAPPS Interchange Format"

Meddeb, Aref (2016): "Internet of things standards: who stands out from the crowd?"

Aumueller, David et al. (2005): "Schema and ontology matching with COMA++"

Song, Shengli, Zhang, Xiang, Qin, Guimin (2017): "Multi-domain ontology mapping based on semantics"

Frimpong, Ruth Achiaa (2017): "Ontology Matching Algorithms for Data Model Alignment in Big Data"

Akhter, Ravesa, Sofi, Shabir Ahmad (2022): "Precision agriculture using IoT data analytics and machine learning"

OMA (2012): "Next generation service interfaces architecture"

FIWARE

Kashyap, Vipul, Sheth, Amit (1996): "Semantic and Schematic Similarities between Database Objects: A context Based approach"

Rahm, Erhard, Do, Hong (2000): "Data Cleaning: Problems and Current Approaches"

Kadadi, Anirudh et al. (2014): "Challenges of data integration and interoperability in big data"

Nagarajan, Meenakshi et al. (2006): "Semantic Interoperability of Web Services - Challenges and Experiences"

Ursino, D., Takama, Y., Castanedo, Federico (2013): "A Review of Data Fusion Techniques"

Singh, Prince, van Sinderen, M. J. (2018): "Big Data interoperability challenges for logistics"

Azimirad, Ehsan, Haddadnia, Javad, Izadipour, Ali (2015): "A comprehensive review of the multi-sensor data fusion architectures"

Organizational

Janssen, Marijn and Estevez, Elsa and Janowski, Tomasz (2014): "Interoperability in big, open, and linked data--organizational maturity, capabilities, and data portfolios"

Nikiforova A. et al. (2023): "Towards High-Value Datasets Determination for Data-Driven Development: A Systematic Literature Review"

Gebka E., Castiaux A. (2021): "A Typology of Municipalities' Roles and Expected User's Roles in Open Government Data Release and Reuse"

Crusoe J. et al. (2019): "The impact of impediments on open government data use: Insights from users"

Belhiah M., Bounabat B. (2017): "A user-centered model for assessing and improving open government data quality"

Albouq, Sami Saad et al. (2022): "A Survey of Interoperability Challenges and Solutions for Dealing With Them in IoT Environment"

Radzio, Frank, Sjut, Boje (2022): "Übersicht Plattform Mobility Live Access"

FIWARE

"Big data driven multi-tier architecture for electric mobility as a service in smart cities: A design science approach"

"Economic Rents and the Contours of Conflict in the Data-driven Economy"

"Guiding manufacturing companies towards digitalization a methodology for supporting manufacturing companies in defining their digitalization roadmap"

"Tourist experience and digital transformation"

"The Role of Digital Technologies in a Data-driven Circular Business Model: A Systematic Literature Review"

"Data sovereignty: A review"

"Digital transformation: An overview of the current state of the art of research"

"Digital transformation in the resource and energy sectors: A systematic review"

"Open Data maturity"

"Viewing digital transformation through the lens of transformational leadership"

"European Energy Regulatory, Socioeconomic, and Organizational Aspects: An Analysis of Barriers Related to Data-Driven Services across Electricity Sectors"

"Digital technologies: Tensions in privacy and data"

"Barriers to digital transformation in manufacturing: development of a research agenda"

"Roadmap for digital transformation: A literature review"

"Machine Learning for industrial applications: A comprehensive literature review"

"Digital transformation of business models"

"Options for formulating a digital transformation strategy"

"Digital Sustainability and Entrepreneurship: How Digital Innovations Are Helping Tackle Climate Change and Sustainable Development"

"Digital sustainable entrepreneurship: A business model perspective on embedding digital technologies for social and environmental value creation"

"Sustainable tourism in the digital age: Institutional and economic implications"

Regulatory

"Economic Rents and the Contours of Conflict in the Data-driven Economy"

"The Role of Digital Technologies in a Data-driven Circular Business Model: A Systematic Literature Review"

"Data sovereignty: A review"

"Digital transformation in the resource and energy sectors: A systematic review"

"Digital Sustainability and Entrepreneurship: How Digital Innovations Are Helping Tackle Climate Change and Sustainable Development"

Staunton, Ciara et al. (2019): "The GDPR and the research exemption: considerations on the necessary safeguards for research biobanks"

D Peloquin, M DiMaio, B Bierer, M Barnes (2020): "Disruptive and avoidable: GDPR challenges to secondary research uses of data"

"GDPR Confusion" (2018)

Cagnazzo, Celeste (2021): "The thin border between individual and collective ethics: the downside of GDPR"

Van de Vyvere, Brecht, Colpaert Pieter (2022): "Using ANPR data to create an anonymized linked open dataset on urban bustle"

Ethical

Staunton, Ciara et al. (2019): "The GDPR and the research exemption: considerations on the necessary safeguards for research biobanks"

D Peloquin, M DiMaio, B Bierer, M Barnes (2020): "Disruptive and avoidable: GDPR challenges to secondary research uses of data"

"GDPR Confusion" (2018)

Cagnazzo, Celeste (2021): "The thin border between individual and collective ethics: the downside of GDPR"

Van de Vyvere, Brecht, Colpaert Pieter (2022): "Using ANPR data to create an anonymized linked open dataset on urban bustle"