Open Data, Information Processing, and Datification in Government Minitrack

The public sector is data-intensive by its very nature and trends like the opening of data and the Internet of Things (IoT) results in the availability of even more data. Datification refers to sensing and the subsequent collecting of all kinds of data using machine-readable data formats. Datafication is rapidly becoming a mainstream activity of public organizations. In addition public organizations are opening more and more of their data to the public. Open data can be combined with all kind of data sources to infer and generate value. This can results in recommendations for improving the public sector, business model innovation and the creation of transparency. These developments are resulting in drastic changes of the public sector.

The rise of all kinds of data has resulted in the demand for new approaches for organizing, storing, processing, curation, linking and visualization result of data. Data pipelines are created in which data is combined in real- time for creating new applications. Cloud services are changing the ways of providing and processing data, based on virtualized resources meeting requirements like security, privacy and scalability. Although there is a huge potential how this should be accomplished and what the impact of public organizations is not understood. All these developments impact the operation of governments, their relationship with the public and there are changes at the technical, organizational, managerial and political level impacting the capabilities needed, the making of policies and traditional institutional structures.

This minitrack is aimed at discussing theories, methodologies, experience reports, literature and case studies in the field of Open Data, Information Processing and Datification in Government. We solicit for papers covering both organizational and technical aspects and combining theory and practice. Papers taking interdisciplinary approaches and covering a multitude of aspects are strongly encouraged. Furthermore we promote a diversity of research methods to study the challenges of this multifaceted discipline including best practices, case studies, design approaches, literature reviews and interviews.

Minitrack topics include, but are not limited to:

  • Open Data Practices, Technologies and Applications in Government
  • Impact of datification on government and society on the technical, organizational and institutional level
  • Big Data, open data, linked data, metadata and semantic approaches
  • Data analytics, processing, intelligence and visualization
  • Organizational strategies and policies
  • Data quality, privacy, trust and security
  • Internet of Things (IoT) in government
  • Changing relationship between government, private organizations and society
  • Methods and technologies leading to enhanced digital public services
  • Data-driven innovations, applications and other approaches
  • Interoperability and architectural standards, principles and frameworks
  • Technical, semantic, organizational, managerial and legal/policy aspects of interoperability
  • System development, implementation and agile approaches for digital public services
  • System, user, data and process-based integration
  • Co-creation using data and citizen engagement
  • Information and cloud infrastructures, shared services, cloud providers
  • Reuse and data quality and ownership
  • Semantic ontologies, web services and modeling for governmental infrastructures
  • Cloud computing, Software as service (SaaS), ICT-services, scalability, reliability, flexibility
  • Multi-sided platforms, interoperability, information sharing and public business models
  • Cross-organizational modeling and visualization ranging from the organizational to technical level
  • Service-oriented architectures, web services, semantic web services, orchestration and composition
  • Citizen-driven and entrepreneurial approaches based on open data

Minitrack Co-Chairs:

Marijn Janssen (Primary Contact)
Delft University of Technology, The Netherlands

Yannis Charalabidis
University of the Aegean, Greece

Helmut Krcmar
Technische Universität München, Germany

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