[AISWorld] CFP ISF special issue Driving Public Innovation using Big and Open Linked Data (BOLD)

[Marijn Janssen - TBM]

CFP Driving Public Innovation using Big and Open Linked Data (BOLD)
Information Systems Frontiers


Combining and sharing data from various sources has become an important means to innovate, create accountability and/or improve practices by public organizations and public-private partnerships. Linking and analyzing information not only supports better enforcement and fraud detection, but can also be used for creating societal values like providing more transparency, making cities smarter, improving a country's competitiveness, improving decision- and policy-making and responding better in crisis management. There is a general belief that using data can result in dramatic transformation of public sector systems and result in societal benefits like less pollution, less traffic jams, improved tracking of disease outbreaks, greater energy efficiency, new agriculture services, and lower costs. Big and open data may play a pivotal role in this transformation.

The meaning of big data is broad, referring to large datasets, data collections that integrate many datasets from multiple structured and unstructured sources, and techniques used to manage and analyze the data, while also incorporating the data increasingly available through government open data initiatives. Data can be downloaded from open data portals or used by data streaming. Open data can bridge the traditional separation between public organizations, enterprises and users. Governments have become aware that they are operating within ecosystems of public and private actors. By opening data, the public gets access to data which provides countless opportunities for economic, political, scientific, and social initiatives and innovation. At the same time governments are looking to harness data beyond their traditional borders by analyzing data from a variety of social media channels, making sensors of us all. The need to effectively utilize data from a variety of sources including the social web is driving the development of new government-citizen and government-employee applications and the generation of new data analytics toolsets.

Instead of reinforcing current processes, big and open data should result in open government in which the government acts as an open system and interacts with its environment. Not only should data be published, but should be actively sought for feedback to improve the government. The publishing of government data could have far-reaching effects on the public sector. Furthermore the availability of a vast amount of data can have a profound influence on policy-making. Data can be used by government and the public for modelling, understanding policy implications, and supporting policy decisions. Innovation of governments is likely to be driven by external parties like enterprises and citizens combined with internally driven. However, there is paucity of systematic research to provide hard evidence supporting the assumption that immediate and widespread disclosure of public data results in an accountable and transparent government.

This special issue of ISF aims to compile the advances surrounding the emerging issues of big and open linked data in public administration and contribute to the creation of a common body of knowledge for this multi-disciplinary field of study.

Topics
We solicit papers showing innovative practices, theoretical developments, and cutting-edge cases and experiences that can contribute to the foundations of this interdisciplinary research area. The topics include, but are not limited to:


  *   Data acquisition, linking, processing, and analytics
  *   Open data ecosystems for energy, water, safety, health, education, agriculture, finance, transportation, and other domains
  *   Using analytics to improve innovation or transparency
  *   Innovative application of technologies and visionary concepts
  *   Adaptive, flexible and responsive information architectures
  *   Social web, semantic web, metadata for open and linked data management
  *   Public engagement, transparency, accountability and public values
  *   Methods and tools for open data acquisition, curation, management and publication
  *   Methods and tools for integrating and combining open data from distributed heterogeneous sources
  *   Methods and tools for combining linked open data with in-house or open structured information systems in the 'deep web'
  *   Big and Open Data in policy making, policy-modelling, and policy implications
  *   New approaches for public sector information visualization
  *   Collaborative governance approaches involving the use of open data
  *   New governance and business models for open data "ecosystems"
  *   Legal provisions and open issues at the national and European levels, regarding re-use of governmental data
  *   Smart cities, smart regions and smart countries
  *   International cooperation in the field of open and linked data
  *   Information processing of large amounts of data
  *   Alignment of organizational and technical issues
  *   Inter-organizational public-private collaboration
  *   Smart cities, success factors
  *   Decision-support systems and expert systems

About Information Systems Frontiers
Information Systems Frontiers (ISF) is a high-ranking, international scholarly journal designed to bridge the contributing academic disciplines and provide a link between academia and industry. The central objective of ISF is to publish original, well-written, self-contained contributions that elucidate novel research and innovation in IS/IT which advance the field fundamentally and significantly.
ISF is Abstracted/Indexed in ABI inform, CompuMath Citation Index, Computer Literature Index, Current Contents/Engineering, Computing and Technology, Information Science & Technology Abstracts (ISTA), Inspec, ISI Alerting Services, ISI Web of Science, Risk Abstracts, Science Citation Index Expanded, SCOPUS, Zentralblatt Math.

Submission Instruction
Manuscripts must be submitted to the ISF-Springer online submission system at:
http://www.editorialmanager.com/isfi/
Paper submissions must conform to the format guidelines of Information Systems Frontiers available
at: http://www.springer.com/business/business+information+systems/journal/10796
Submissions should be approximately 32 pages double spaced including references.

Special issue editors
Marijn Janssen, Faculty of Technology, Policy and Management, Delft University of Technology, The Netherlands
David Konopnicki, IBM Haifa Research Lab, Israel
Teresa Harrison, Center for Technology in Government, University at Albany
Jane L. Snowdon, Chief Innovation Officer, US Federal, IBM Corporation, USA
Adegboyega Ojo, The Insight Centre for Data Analytics, National University of Ireland, Galway, Republic of Ireland

Important Dates
Prospective authors are encourages to submit an abstract or concept for appropriateness.

Submission Deadline:                                  October 1, 2015
Notification of First Round Reviews:           January 1, 2016
Revised Manuscripts Due:                           April 1, 2016
Final Acceptance Notification:                    July 1, 2016


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Prof.dr.ir. Marijn Janssen
Antoni van Leeuwenhoek-professor in ICT & Governance
Head of ICT section
(http://www.tbm.tudelft.nl/over-faculteit/afdelingen/engineering-systems-and-services/sectie-ict/)
Co-editor Government Information Quarterly
(http://www.journals.elsevier.com/government-information-quarterly/)

Delft University of Technology
Building 31
Faculty of Technology, Policy and Management
Room B3.150
PO Box 5015
2600 GA DELFT
Jaffalaan 5
2628 BX DELFT
the Netherlands

Tel.: +31 (15) 278 1140
Fax: +31 (15) 278 3741
Email: m.f.w.h.a.janssen at tudelft.nl<mailto:m.f.w.h.a.janssen at tudelft.nl>
http://www.tbm.tudelft.nl/marijnj<https://legacywebmail.tudelft.nl/exchweb/bin/redir.asp?URL=http://www.tbm.tudelft.nl/marijnj>