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Government (Big) Data Ecosystem: Definition, Classification of Actors, and Their Roles

Authors: Syed Iftikhar Hussain Shah, Vasilis Peristeras, Ioannis Magnisalis


Organizations, including governments, generate (big) data that are high in volume, velocity, veracity, and come from a variety of sources. Public Administrations are using (big) data, implementing base registries, and enforcing data sharing within the entire government to deliver (big) data related integrated services, provision of insights to users, and for good governance. Government (Big) data ecosystem actors represent distinct entities that provide data, consume data, manipulate data to offer paid services, and extend data services like data storage, hosting services to other actors. In this research work, we perform a systematic literature review. The key objectives of this paper are to propose a robust definition of government (big) data ecosystem and a classification of government (big) data ecosystem actors and their roles. We showcase a graphical view of actors, roles, and their relationship in the government (big) data ecosystem. We also discuss our research findings. We did not find too much published research articles about the government (big) data ecosystem, including its definition and classification of actors and their roles. Therefore, we lent ideas for the government (big) data ecosystem from numerous areas that include scientific research data, humanitarian data, open government data, industry data, in the literature.

Keywords: Big data, big data ecosystem, classification of big data actors, big data actors roles, definition of government (big) data ecosystem, data-driven government, eGovernment, gaps in data ecosystems, government (big) data, public administration, systematic literature review.

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[1] A. Fabijan, P. Dmitriev, H. H. Olsson, and J. Bosch, “The Evolution of Continuous Experimentation in Software Product Development: From Data to a Data-Driven Organization at Scale,” Proc. - 2017 IEEE/ACM 39th Int. Conf. Softw. Eng. ICSE 2017, pp. 770–780, 2017.
[2] R. Fahy, J. Van Hoboken, and N. Van Eijk, “Data Privacy, Transparency and the Data-Driven Transformation of Games to Services,” 2018 IEEE Games, Entertain. Media Conf. GEM 2018, pp. 136–146, 2018.
[3] U. Aftab and G. F. Siddiqui, “Big Data Augmentation with Data Warehouse: A Survey,” Proc. - 2018 IEEE Int. Conf. Big Data, Big Data 2018, pp. 2785–2794, 2019.
[4] A. R. Pathak, M. Pandey, and S. Rautaray, “Construing the big data based on taxonomy, analytics and approaches,” Iran J. Comput. Sci., vol. 1, no. 4, pp. 237–259, 2018.
[5] O. R. D.J. Patil, “Building Data Science Teams.” Oreilly Radar, 2011.
[6] F. Halper, “Driving Digital Transformation Using AI, and Machine Learning.” TDWI, p. 31, 2019.
[7] A. Immonen and J. Kalaoja, “Requirements of an Energy Data Ecosystem,” IEEE Access, vol. 7, pp. 111692–111708, 2019.
[8] D. R.-M. and P. T. Michael Schroeck, Rebecca Shockley, Janet Smart, “Analytics : The real-world use of big data.” Saïd Business School at the University of Oxford, pp. 1–22, 2012.
[9] G. Netherlands, “Open Govt. Action Plan 2018-2020.” Government of Neitherland, p. 8, 2018.
[10] M. Pospiech and C. Felden, “A descriptive big data model using grounded theory,” Proc. - 16th IEEE Int. Conf. Comput. Sci. Eng. CSE 2013, pp. 878–885, 2013.
[11] Gartner, “What is a big data.” Gartner Publications, pp. 1–3, 2019.
[12] and J. M. Nobubele, Angel Shozi, “Big data privacy and security: A systematic analysis of current and future challenges.” University of South Africa, South Africa, pp. 1–9.
[13] OECD, “Data-driven Innovation for Growth and Well-being.” OECD, pp. 1–86, 2014.
[14] S. Allard, “DataONE: Facilitating eScience through Collaboration,” J. eScience Librariansh., vol. 1, no. 1, pp. 4–17, 2012.
[15] S. Mazumdar, D. Seybold, K. Kritikos, and Y. Verginadis, A survey on data storage and placement methodologies for Cloud-Big Data ecosystem, vol. 6, no. 1. Springer International Publishing, 2019.
[16] S. J. Divakar Mysore, Shrikant Khupat, “Introduction to Big Data Architecture,” pp. 1–14, 2017.
[17] KnowledgeHut, “Types of Big data.” KnowledgeHut, pp. 1–4, 2019.
[18] L. Ding, V. Peristeras, and M. Hausenblas, “Linked Open Government Data
[Guest editors’ introduction],” IEEE Intell. Syst., vol. 27, no. 3, pp. 11–15, 2012.
[19] D. Lee, “Building an open data ecosystem,” pp. 351–360, 2015.
[20] D. Misra, A. Mishra, S. Babbar, and V. Gupta, “Open Government Data Policy and Indian Ecosystems,” pp. 218–227, 2017.
[21] European Commission, “Data Strategy for Digital Transformation.” European Commission, pp. 1–22.
[22] Statista organization, “Internet of Things (IoT) connected devices installed base worldwide from 2015 to 2025 (in billions).” Statista Survey Organization.
[23] B. Xu, L. Da Xu, H. Cai, C. Xie, J. Hu, and F. Bu, “Ubiquitous data accessing method in iot-based information system for emergency medical services,” IEEE Trans. Ind. Informatics, vol. 10, no. 2, pp. 1578–1586, 2014.
[24] M. M. Rantanen, S. Hyrynsalmi, and S. M. Hyrynsalmi, “Towards Ethical Data Ecosystems: A Literature Study,” Proc. - 2019 IEEE Int. Conf. Eng. Technol. Innov. ICE/ITMC 2019, 2019.
[25] M. A. Parsons et al., “A conceptual framework for managing very diverse data for complex, interdisciplinary science,” J. Inf. Sci., vol. 37, no. 6, pp. 555–569, 2011.
[26] IBM, “Data-driven government: Challenges and a path forward.” p. 8, 2015.
[27] E. Commission, Data Action Plan Implementing Data Strategy. 2018.
[28] J. Attard, F. Orlandi, and S. Auer, “Data Value Networks: Enabling a New Data Ecosystem,” Proc. - 2016 IEEE/WIC/ACM Int. Conf. Web Intell. WI 2016, pp. 453–456, 2017.
[29] J. J. Zubcoff et al., “The university as an open data ecosystem,” Int. J. Des. Nat. Ecodynamics, vol. 11, no. 3, pp. 250–257, 2016.
[30] R. L. Grossman, “data lakes, commons and clouds : A review for analyzing and sharing genomic data.” Arxiv, pp. 1–5, 2018.
[31] S. S. Dawes, L. Vidiasova, and O. Parkhimovich, “Planning and designing open government data programs: An ecosystem approach,” Gov. Inf. Q., vol. 33, no. 1, pp. 15–27, 2016.
[32] A. Zuiderwijk, M. Janssen, and C. Davis, “Innovation with open data: Essential elements of open data ecosystems,” Inf. Polity, vol. 19, no. 1–2, pp. 17–33, 2014.
[33] C. W. Clegg, “Sociotechnical principles for system design,” Appl. Ergon., vol. 31, no. 5, pp. 463–477, 2000.
[34] C. Chyi Lee and J. Yang, “Knowledge value chain,” J. Manag. Dev., vol. 19, no. 9, pp. 783–794, Nov. 2000.
[35] M. I. S. Oliveira, G. de F. B. Lima, and B. F. Lóscio, “Investigations into Data Ecosystems: a systematic mapping study,” Knowl. Inf. Syst., pp. 1–42, 2019.
[36] A. Immonen, M. Palviainen, and E. Ovaska, “Requirements of an open data based business ecosystem,” IEEE Access, vol. 2, pp. 88–103, 2014.
[37] G. Smith, H. A. Ofe, and J. Sandberg, “Digital service innovation from open data: exploring the value proposition of an open data marketplace,” Proc. Annu. Hawaii Int. Conf. Syst. Sci., vol. 2016-March, pp. 1277–1286, 2016.
[38] J. Lindman, T. Kinnari, and M. Rossi, “Business Roles in the Emerging Open-Data Ecosystem,” IEEE Softw., vol. 33, no. 5, pp. 54–59, 2016.
[39] R. M. Corrado Moiso, “Towards a User-Centric Personal Data Ecosystem,” in 2012 16th International Conference on Intelligence in Next Generation Networks, ICIN 2012.
[40] E. Haak, J. Ubacht, M. Van Den Homberg, S. Cunningham, and B. Van Den Walle, “A framework for strengthening data ecosystems to serve humanitarian purposes,” ACM Int. Conf. Proceeding Ser., 2018.
[41] S. Chattapadhyay, “Access and use of government data by research and advocacy organisations in India: A survey of (potential) open data ecosystem,” ACM Int. Conf. Proceeding Ser., vol. 2014-Janua, pp. 361–364, 2014.
[42] V. Köster and G. Suárez, “Open data for development: Experience of Uruguay,” ACM Int. Conf. Proceeding Ser., vol. 01-03-Marc, pp. 207–210, 2016.
[43] C. Moiso and R. Minerva, “Towards a user-centric personal data ecosystem the role of the bank of individuals’ data,” 2012 16th Int. Conf. Intell. Next Gener. Networks, ICIN 2012, no. February 2018, pp. 202–209, 2012.
[44] M. Heimstädt, ‘The Institutionalization of Digital Openness,’ in Proceedings of The International Symposium on Open Collaboration - OpenSym ’14, 2014, pp. 1–2.
[45] Kitchenham, “Guidelines for performing Systematic Literature Reviews in Software Engineering.” Keele University, UK and University of Durham, UK, pp. 1–57, 2007.
[46] M. Van Den Homberg, J. Visser, and M. Van Der Veen, “Unpacking data preparedness from a humanitarian decision making perspective: Toward an assessment framework at subnational level,” Proc. Int. ISCRAM Conf., vol. 2017-May, no. May, pp. 2–13, 2017.
[47] N. Raymond, Z. Al Achkar, S. Verhulst, J. Berens, L. Barajas, and M. Easton, “Building data responsibility into humanitarian action,” OCHA Policy Stud. Ser., no. May, p. 18, 2016.
[48] M. I. S. Oliveira, L. E. R. A. Oliveira, M. G. R. Batista, and B. F. Lóscio, “Towards a meta-model for data ecosystems,” pp. 1–10, 2018.
[49] B. Chae, “Big Data and IT-Enabled Services: Ecosystem and Coevolution,” IT Prof., vol. 17, no. 2, pp. 20–25, 2015.
[50] A. Zuiderwijk, M. Janssen, G. Van De Kaa, and K. Poulis, “The wicked problem of commercial value creation in open data ecosystems: Policy guidelines for governments,” Inf. Polity, vol. 21, no. 3, pp. 223–236, 2016.
[51] T. M. Harrison, T. A. Pardo, and M. Cook, “Creating Open Government Ecosystems: A Research and Development Agenda,” Futur. Internet, vol. 4, no. 4, pp. 900–928, 2012.
[52] A. Poikola, P. Kola, and K. A. Hintikka, Public data-an introduction to opening information resources. 2011.
[53] C. Moiso and R. Minerva, “Towards a user-centric personal data ecosystem the role of the bank of individuals’ data,” 2012 16th Int. Conf. Intell. Next Gener. Networks, ICIN 2012, pp. 202–209, 2012.
[54] S. S. Dawes, L. Vidiasova, and O. Parkhimovich, “Planning and designing open government data programs: An ecosystem approach,” Gov. Inf. Q., vol. 33, no. 1, pp. 15–27, 2016.
[55] K. Smith et al., “‘Big metadata’: The need for principled metadata management in big data ecosystems,” Proc. 3rd Work. Data Anal. Cloud, DanaC 2014 - Conjunction with ACM SIGMOD/PODS Conf., pp. 21–24, 2014.
[56] E. Przeybilovicz and M. A. Cunha, “Open government data programs,” in Proceedings of the 19th Annual International Conference on Digital Government Research Governance in the Data Age - dgo ’18, 2018, pp. 1–2.
[57] NIST Big Data Public Working Group: Definitions and Taxonomies Subgroup, “NIST Big Data Interoperability Framework: Volume 2, Big Data Taxonomies,” vol. 2. NIST, p. 31, 2015.
[58] R. G. Department, “Russian City "St. Petersburg” open government portal.” Russian govt. department, pp. 1–10, 2019.
[59] EU, “EU Open Data Portal.” EU, pp. 1–12, 2019.
[60] J. María and C. Edward, New Horizons for a Data-Driven Economy. Library of Congress, 2016.
[61] G. Magalhaes, C. Roseira, and L. Manley, “Business models for open government data,” ACM Int. Conf. Proceeding Ser., vol. 2014-Janua, pp. 365–370, 2014.
[62] H. Oh, S. Park, G. M. Lee, H. Heo, and J. K. Choi, “Personal Data Trading Scheme for Data Brokers in IoT Data Marketplaces,” IEEE Access, vol. 7, pp. 40120–40132, 2019.
[63] B. Ubaldi, “Open Government Data: Towards Empirical Analysis of Open Government Data Initiatives.” OECD, pp. 1–61, 2013.
[64] S. Buteau, P. Rao, A. K. Mehta, and V. Kadirvell, “Developing a framework to assess socioeconomic value of open data in India,” Proc. 14th Int. Symp. Open Collab. OpenSym 2018, pp. 1–6, 2018.
[65] B. (Kevin) Chae, “A General framework for studying the evolution of the digital innovation ecosystem: The case of big data,” Int. J. Inf. Manage., vol. 45, no. January 2018, pp. 83–94, 2019.
[66] D. H. Shin and M. J. Choi, “Ecological views of big data: Perspectives and issues,” Telemat. Informatics, vol. 32, no. 2, pp. 311–320, 2015.
[67] W. Street, “Building the (Open) Data Ecosystem the Present: A One-Way Street the Future: An Ecosystem Annexe: Some Illustrations of Our Current One,” pp. 1–14, 2011.
[68] S. Orenga-Roglá and R. Chalmeta, “Framework for implementing a big data ecosystem in organizations,” Commun. ACM, vol. 62, no. 1, pp. 58–65, 2019.
[69] M. Kaufmann, “Towards a Reference Model for Big Data Management,” 2016.
[70] A. Ali, J. Qadir, R. ur Rasool, A. Sathiaseelan, A. Zwitter, and J. Crowcroft, “Big data for development: applications and techniques,” Big Data Anal., vol. 1, no. 1, 2016.
[71] H. D. A. do. Santos, M. I. S. Oliveira, G. de F. A. B. Lima, K. M. da Silva, R. I. V. C. Rayelle, and B. F. Lóscio, “Investigations into data published and consumed on the Web: a systematic mapping study,” J. Brazilian Comput. Soc., vol. 24, no. 1, 2018.
[72] D. S. R. Group, “Overview of the DDI Version 3.0 Conceptual Model.” Structural Reform Group, 2004.
[73] Research data Management Team, “Data Life Cycle & Data Management Planning.” University of Essex, UK, 2013.
[74] K. Möller, “Lifecycle models of data-centric systems and domains The abstract data lifecycle model,” Semant. Web, vol. 4, pp. 67–88, 2013.
[75] K. Crowston and J. Qin, “A capability maturity model for scientific data management: Evidence from the literature,” Proc. ASIST Annu. Meet., vol. 48, no. 1, pp. 1–22, 2011.
[76] Y. Demchenko, C. De Laat, and P. Membrey, “Defining architecture components of the Big Data Ecosystem,” in 2014 International Conference on Collaboration Technologies and Systems (CTS), 2014, pp. 104–112.
[77] L. Ding et al., “TWC LOGD: A portal for linked open government data ecosystems,” J. Web Semant., vol. 9, no. 3, pp. 325–333, 2011.
[78] A. Immonen, E. Ovaska, and T. Paaso, “Towards certified open data in digital service ecosystems,” Softw. Qual. J., vol. 26, no. 4, pp. 1257–1297, 2018.
[79] P. O. T.D., “Public service Data Strategy 2019-2023.” Government of Ireland, pp. 1–40, 2018.
[80] D. Koznov, O. Andreeva, U. Nikula, A. Maglyas, D. Muromtsev, and I. Radchenko, “A Survey of Open Government Data in Russian Federation Open Data Movements in Different,” vol. 3, no. Ic3k, pp. 173–180, 2016.
[81] European Commission, “European Commission Digital Strategy.” European Commission, pp. 1–33, 2018.
[82] S. Fan, R. Y. K. Lau, and J. L. Zhao, “Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix,” Big Data Res., vol. 2, no. 1, pp. 28–32, 2015.
[83] H. B. James E. Moore, “The Death of Competition -Leadership and Strategy in the Age of Business Ecosystems.” New York: Harper Business, pp. 1–6, 1996.
[84] M. Heimstädt, F. Saunderson, and T. Heath, “Conceptualizing Open Data Ecosystems: A timeline analysis of Open Data development in the UK,” Proc. Int. Conf. E-Democracy Open Gov., vol. 1000, no. October 2013, pp. 1–11, 2014.
[85] M. I. and R. Levien, The Keystone Advantage: What the New Dynamics of Business Ecosystems Mean for Strategy, Innovation, and Sustainability. Harvard Business School Press, 2004.