Abstract
The public sector, private firms, business community, and civil society are generating data that are high in volume, veracity, and velocity and come from a diversity of sources. This type of data is today known as big data. Public administrations pursue big data as “new oil” and implement data-centric policies to collect, generate, process, share, exploit, and protect data for promoting good governance, transparency, innovative digital services, and citizens’ engagement in public policy. All of the above constitute the Government Big Data Ecosystem (GBDE). Despite the great interest in this ecosystem, there is a lack of clear definitions, the various important types of government data remain vague, the different actors and their roles are not well defined, while the impact in key public administration sectors is not yet deeply understood and assessed. Such research and literature gaps impose a crucial obstacle for a better understanding of the prospects and nascent issues in exploiting GBDE. With this study, we aim to start filling the above-mentioned gaps by organizing our findings from an extended Systematic Literature Review into a framework to organise and address the above-mentioned challenges. Our goal is to contribute in this fast-evolving area by bringing some clarity and establishing common understanding around key elements of the emerging GBDE.
- Mohammad Fikry Abdullah and Kamsuriah Ahmad. 2013. The mapping process of un-structured data to structured data. In Proceedings of the International Conference on Research and Innovation in Information Systems (ICRIIS’13). 151–155. DOI:https://doi.org/10.1109/ICRIIS.2013.6716700Google Scholar
- Umar Aftab and Ghazanfar Farooq Siddiqui. 2019. (Big) Data augmentation with data warehouse: A survey. In Proceedings of the IEEE International Conference on Big Data (Big Data’18). 2785–2794. DOI:https://doi.org/10.1109/BigData.2018.8622206Google Scholar
- Philip Woodal Alexander Borek, Ajith K. Parlikad, and Jela Webb. 2014. Total Information Risk Management—Maximizing the Value of Data and Information Assets. Front Matter. DOI:https://doi.org/https://doi.org/10.1016/C2012-0-00446-2Google Scholar
- Suzie Allard. 2012. DataONE: Facilitating escience through collaboration. J. eSci. Libr. 1, 1 (2012), 4–17. DOI:https://doi.org/10.7191/jeslib.2012.1004Google ScholarCross Ref
- Arlene Fink. 2010. Conducting Research Literature Reviews - from the Internet to paper (3rd ed.). SAGE, Thousand Oaks, California.Google Scholar
- Judie Attard, Fabrizio Orlandi, and Soren Auer. 2017. (Big) data value networks: Enabling a new data ecosystem. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI’16).IE 453–456. DOI:https://doi.org/10.1109/WI.2016.0073Google Scholar
- Judie Attard, Fabrizio Orlandi, and Sören Auer. 2016. Value creation on open government data. In Proceedings of the Annual Hawaii International Conference on System Sciences. 2605–2614. DOI:https://doi.org/10.1109/HICSS.2016.326Google ScholarDigital Library
- Ehsan Baghi, Simon Schlosser, Verena Ebner, Boris Otto, and Hubert Oesterle. 2014. Toward a decision model for master data application architecture. In Proceedings of the Annual Hawaii International Conference on System Sciences. 3827–3836. DOI:https://doi.org/10.1109/HICSS.2014.475Google ScholarDigital Library
- Michael J. Becker. 2014. The consumer data revolution: The reshaping of industry competition and a new perspective on privacy. J. Direct Data Digit. Mark. Pract. 15, 3 (2014), 213–218. DOI:https://doi.org/10.1057/dddmp.2014.3Google ScholarCross Ref
- Anjum Zameer Bhat and Imran Ahmed. 2016. Big data for institutional planning, decision support and academic excellence. In Proceedings of the 3rd MEC International Conference on Big Data and Smart Computing (ICBDSC’16). 118–122. DOI:https://doi.org/10.1109/ICBDSC.2016.7460353Google ScholarCross Ref
- Evmorfia Biliri, Panagiotis Kokkinakos, Ariadni Michailitsi, Dimitris Papaspyros, John Tsapelas, Spiros Mouzakitis, Sotiris Koussouris, Fenareti Lampathaki, Yury Glickman, and Fabian Kirstein. 2018. (Big) data analytics in public safety and personal security- Challenges and potential. In Proceedings of the International Conference on Engineering, Technology, and Innovation and International Technology Managemant Conference (ICE/ITMC’17) 1382–1386. DOI:https://doi.org/10.1109/ICE.2017.8280043Google Scholar
- Razan F. Binyousef, Aboelkhair M. Al-Gahmi, Zahid Rahman Khan, and Elham Rawah. 2017. A rare case of erdheim-chester disease in the breast. Ann. Saudi Med 37, 1 (2017), 79–83. DOI:https://doi.org/10.5144/0256-4947.2017.79Google ScholarCross Ref
- Michael L. Brodie. 2010. Data Integration at scale: From relational data integration to information ecosystems. In Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications. 1–3. DOI:https://doi.org/10.1109/aina.2010.184Google ScholarDigital Library
- Sharon Buteau, Preethi Rao, Anshuman Kr M., and Vigneshraja K. 2018, Developing a framework to assess socio-economic value of open (Big) data in India. In Proceedings of the 14th International Symposium on Open Collaboration (OpenSym’18). 1–6. DOI:https://doi.org/10.1145/3233391.3233532Google Scholar
- Liam J. Caffery, David Clunie, Clara Curiel-Lewandrowski, Josep M. H. Peter Soyer, and Allan C. Halpern. 2018. Transforming dermatologic imaging for the digital era: Metadata and standards. J. Digit. Imag. 31, 4 (2018), 568–577. DOI:https://doi.org/10.1007/s10278-017-0045-8Google ScholarCross Ref
- Bongsug Chae. 2015. (Big) Data and IT-enabled services: Ecosystem and coevolution. IT Prof. 17, 2 (2015), 20–25. DOI:https://doi.org/10.1109/MITP.2015.17Google ScholarCross Ref
- Sumandro Chattapadhyay. 2014. Access and use of government data by research and advocacy organisations in India. In Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance (ICEGOV'14). ACM, 361--364. DOI:https://doi.org/10.1145/2691195.2691262Google ScholarDigital Library
- Yi Chen, Wei Wang, Ziyang Liu, and Xuemin Lin. 2009. Keyword search on structured and semi-structured data. In Proceedings of the International Conference of the Special Interest Group on the Management of and the Symposium on Principles of Database Systems (SIGMOD-PODS'09). 1005–1009. DOI:https://doi.org/10.1145/1559845.1559966Google ScholarDigital Library
- Ching Chyi Lee and Jie Yang. 2000. Knowledge value chain. J. Manag. Dev 19, 9 (2000), 783–794. DOI:https://doi.org/10.1108/02621710010378228Google ScholarCross Ref
- Chris W. Clegg. 2000. Socio-technical principles for system design. Appl. Ergon. 31, 5 (2000), 463–477. DOI:https://doi.org/10.1016/S0003-6870(00)00009-0Google ScholarCross Ref
- L. V. Cooper and H. Hedges. 2009. Research synthesis as a scientific process. In The Handbook of Research Synthesis and Meta-Analysis.Google Scholar
- Sharon S. Dawes, Lyudmila Vidiasova, and Olga Parkhimovich. 2016. Planning and designing open government (big) data programs: An ecosystem approach. Gov. Inf. Q 33, 1 (2016), 15–27. DOI:https://doi.org/10.1016/j.giq.2016.01.003Google ScholarCross Ref
- Yuri Demchenko, Cees De Laat, and Peter Membrey. 2014. Defining architecture components of the (Big) data ecosystems. In Proceedings of the International Conference on Collaboration Technologies and Systems (CTS’14). 104–112.Google ScholarCross Ref
- Caryn Devins, Teppo Felin, Stuart Kauffman, and Roger Koppl. 2017. The law and big data. Cornell J. Law Publ. Pol. 27, 2 (2017), 357–413.Google Scholar
- Li Ding, Timothy Lebo, John S. Erickson, Dominic Difranzo, Gregory Todd Williams, Xian Li, James Michaelis, Alvaro Graves, Jin Guang Zheng, Zhenning Shangguan, Johanna Flores, Deborah L. McGuinness, and James A. Hendler. 2011. TWC LOGD—A portal for linked open government data ecosystems. J. Web Semant. 9, 3 (2011), 325–333. DOI:https://doi.org/10.1016/j.websem.2011.06.002Google ScholarDigital Library
- Li Ding, Vassilios Peristeras, and Michael Hausenblas. 2012. Linked open government data [guest editors’ introduction]. IEEE Intell. Syst. 27, 3 (2012), 11–15. DOI:https://doi.org/10.1109/mis.2012.56Google ScholarDigital Library
- Aleksander Fabijan, Pavel Dmitriev, Helena Holmstrom Olsson, and Jan Bosch. 2017. The evolution of continuous experimentation in software product development: From data to a data-driven organization at scale. In Proceedings of the 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE’17). 770–780. DOI:https://doi.org/10.1109/ICSE.2017.76Google ScholarDigital Library
- Ronan Fahy, Joris Van Hoboken, and Nico Van Eijk. 2018. Data privacy, transparency and the data-driven transformation of games to services. In Proceedings of the 2018 IEEE Games, Entertainment and Media Conference (GEM’18). 136–146. DOI:https://doi.org/10.1109/GEM.2018.8516441Google ScholarCross Ref
- Shaokun Fan, Raymond Y. K. Lau, and J. Leon Zhao. 2015. Demystifying (Big) data analytics for business intelligence (BI) through the lens of marketing mix. Big Data Res. 2, 1 (2015), 28–32. DOI:https://doi.org/10.1016/j.bdr.2015.02.006Google ScholarDigital Library
- Nicolas Ferry, German Terrazas, Per Kalweit, Arnor Solberg, Svetan R., and Dirk Weinelt. 2017. towards a (big) data platform for managing the machine generated (big) data in the cloud. In Proceedings of the 2017 IEEE 15th International Conference on Industrial Informatics (INDIN’17). 263–270. DOI:https://doi.org/10.1109/INDIN.2017.8104782Google ScholarCross Ref
- Robert L. Grossman. 2018. data lakes, commons and clouds: A review for analyzing and sharing genomic data. 1–5. arXiv:1809.01699. Retrieved from https://arxiv.org/abs/1809.01699.Google Scholar
- Elise Haak, Jolien Ubacht, Marc Van Den Homberg, Scott Cunningham, and Bartel Van Den Walle. 2018. A framework for strengthening data ecosystems to serve humanitarian purposes. In ACM International Conference Proceedings Series (2018). DOI:https://doi.org/10.1145/3209281.3209326Google ScholarDigital Library
- M. Hadzic and T. S. Dillon. 2008. Application of digital ecosystems in health domain. 2008 2nd IEEE Int. Conf. Digit. Ecosyst. Technol. IEEE-DEST 2008 (2008), 543–547. DOI:https://doi.org/10.1109/DEST.2008.4635222Google Scholar
- Faizura Haneem, Rosmah Ali, Nazri Kama, and Sufyan Basri. 2017. Resolving data duplication, inaccuracy and inconsistency issues using master data management. In Proceedings of the International. Conference on Research and. Innovation in Information Systems (ICRIIS’17). 1–6. DOI:https://doi.org/10.1109/ICRIIS.2017.8002453Google ScholarCross Ref
- Teresa M. Harrison, Theresa A. Pardo, and Meghan Cook. 2012. Creating open government ecosystems: A research and development agenda. Futur. Internet 4, 4 (2012), 900–928. DOI:https://doi.org/10.3390/fi4040900Google ScholarCross Ref
- Ibrahim Abaker Targio Hashem, Victor Chang, Nor Badrul Anuar, Kayode Adewole, Ibrar Yaqoob, Abdullah Gani, Ejaz Ahmed, and Haruna Chiroma. 2016. The roles of (big) data in smart city. Int. J. Inf. Manage 36, 5 (2016), 748–758. DOI:https://doi.org/10.1016/j.ijinfomgt.2016.05.002Google ScholarDigital Library
- Bingsheng He, Yunji Chen, and Jingren Zhou. 2019. Guest editors introduction: Special issue on big data systems on emerging architectures. IEEE Trans. Big Data 5, 1 (2019), 1–3. DOI:https://doi.org/10.1109/tbdata.2019.2898067Google ScholarCross Ref
- Maximilian Heimstädt. 2014. The institutionalization of digital openness. In Proceedings of the International Symposium on Open Collaboration (OpenSym'14) ACM Press, New York, NY, 1–2. DOI:https://doi.org/10.1145/2641580.2641626Google ScholarDigital Library
- Johann Höchtl, Peter Parycek, and Ralph Schöllhammer. 2016. Big data in the policy cycle: Policy decision making in the digital era. J. Organ. Comput. Electron. Commer. 26, 1–2 (2016), 147–169. DOI:https://doi.org/10.1080/10919392.2015.1125187Google ScholarCross Ref
- Marc Van Den Homberg, Jannis Visser, and Maarten Van Der Veen. 2017. Unpacking data preparedness from a humanitarian decision making perspective: Toward an assessment framework at subnational level. In Proceedings of the International ISCRAM Conference. 2–13.Google Scholar
- Anne Immonen and Jarmo Kalaoja. 2019. Requirements of an energy data ecosystem. IEEE Access 7, (2019), 111692–111708. DOI:https://doi.org/10.1109/access.2019.2933919Google ScholarCross Ref
- Anne Immonen, Eila Ovaska, and Tuomas Paaso. 2018. Towards certified open (big) data in digital service ecosystems. Softw. Qual. J. 26, 4 (2018), 1257–1297. DOI:https://doi.org/10.1007/s11219-017-9378-2Google ScholarDigital Library
- Anne Immonen, Marko Palviainen, and Eila Ovaska. 2014. Requirements of an open data based business ecosystem. IEEE Access 2, (2014), 88–103. DOI:https://doi.org/10.1109/ACCESS.2014.2302872Google ScholarCross Ref
- Jenn Riley. 2017. Understanding Metadata: What Is Metadata. Retrieved from http://www.niso.org/apps/group_public/download.php/17446/Understanding Metadata.pdf.Google Scholar
- Asif Uddin Khan and Bikram Kesari Ratha. 2016. Business data extraction from social networking. In Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT’16). 651–656. DOI:https://doi.org/10.1109/RAIT.2016.7507976Google ScholarCross Ref
- Kitchenham. 2007. Guideline for Performing Systematic Literature Reviews (SLRs) in Software Engineering. Retrieved from https://s3.amazonaws.com/academia.edu.documents/35830450/2_143465389588742151.pdf?response-content-disposition=inline%3B filename%3DSystematic_Literature_Reviews_SLR.pdf&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWOWYYGZ2Y53UL3A%2F20191206%2Fu.Google Scholar
- Barbara Kitchenham, Rialette Pretorius, David Budgen, O. Pearl Brereton, Mark Turner, Mahmood Niazi, and Stephen Linkman. 2010. Systematic literature reviews in software engineering-a tertiary study. Inf. Softw. Technol. 52, 8 (2010), 792–805. DOI:https://doi.org/10.1016/j.infsof.2010.03.006Google ScholarDigital Library
- Victoria Köster and Gustavo Suárez. 2016. Open data for development: Experience of Uruguay. In ACM International Conference Proceeding Series. 207–210. DOI:https://doi.org/10.1145/2910019.2910060Google ScholarDigital Library
- Dmitrij Koznov, Olga Andreeva, Uolevi Nikula, Andrey M., Dmitry Muromtsev, and Irina Radchenko. 2016. A survey of open government data in russian federation open data movements in different. In Proceedings of the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (Ic3k’16). 173–180. DOI:https://doi.org/10.5220/0006049201730180Google Scholar
- Kam-yiu Lam, Alan Kwan, and Krithi Ramamritham. 2002. RTMonitor : Real-time data monitoring using mobile agent technologies. In Proceedings of the 28th International Conference on Very Large Data Bases (2002).Google Scholar
- Deirdre Lee. 2014. Building an open data ecosystem: an Irish experience. In Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance (ICEGOV'14). ACM, New York, NY, USA, 351--360. DOI:https://doi.org/10.1145/2691195.2691258Google ScholarDigital Library
- Marco Iansiti and Roy Levien. 2004. The Keystone Advantage: What the New Dynamics of Business Ecosystems Mean for Strategy, Innovation, and Sustainability. Harvard Business School Press.Google Scholar
- Senior Law Librarian, Bills Digest Section, and Australian Parliamentary Library. 2017. A sea of 'parliamentary big data': Collaborative approaches to its navigation by the australian parliamentary library research service. 1–8.Google Scholar
- Juho Lindman, Tomi Kinnari, and Matti Rossi. 2016. Business roles in the emerging open-data ecosystem. IEEE Softw. 33, 5 (2016), 54–59. DOI:https://doi.org/10.1109/MS.2015.25Google ScholarCross Ref
- Xingye Lv. 2019. The big data impact and application study on the like ecosystem construction of open internet of things. Cluster Comput. 22, S2 (March 2019), 3563--3572. DOI:https://doi.org/10.1007/s10586-018-2206-zGoogle ScholarCross Ref
- Gustavo Magalhaes, Catarina Roseira, and Laura Manley. 2014. Business models for open government data. In ACM International Conference Proceedings Series. 365–370. DOI:https://doi.org/10.1145/2691195.2691273Google ScholarDigital Library
- José María and Cavanillas Edward. 2016. New Horizons for a Data-Driven Economy. Library of Congress. DOI:https://doi.org/10.1007/978-3-319-21569-3Google Scholar
- Somnath Mazumdar, Daniel Seybold, Kyriakos Kritikos, and Yiannis Verginadis. 2019. A Survey on Data Storage and Placement Methodologies for Cloud-Big Data Ecosystem. Springer International Publishing. DOI:https://doi.org/10.1186/s40537-019-0178-3Google Scholar
- Amel Ben Hadj Salem Mhamdia. 2013. Performance measurement practices in software ecosystem. Int. J. Product. Perform. Manag. 62, 5 (2013), 514–533. DOI:https://doi.org/10.1108/IJPPM-09-2012-0097Google ScholarCross Ref
- Durgaprasad Misra, Alka Mishra, Sunil Babbar, and Varun Gupta. 2017. Open Government Data Policy and Indian Ecosystems. In Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance (ICEGOV'17). ACM, New York, NY, USA, 218--227. DOI:https://doi.org/10.1145/3047273.3047363Google ScholarDigital Library
- Corrado Moiso and Roberto Minerva. 2012. Towards a user-centric personal data ecosystem The role of the bank of individuals' data. In Proceedings of the 16th International Conference on Intelligence in Next Generation Networks. IEEE, Berlin, Germany, 202--209. DOI:https://doi.org/10.1109/ICIN.2012.6376027Google ScholarCross Ref
- P. Muthulakshmi and S. Udhayapriya. 2018. A survey about (big) data issues and challenges. Int. J. Comput. Sci. Eng. 6, 6 (2018), 1238–1244. DOI:https://doi.org/10.26438/ijcse/v6i6.12381244Google Scholar
- Kirtida Naik and Abhijit Joshi. 2017. Role of big data in various sectors. In Proceedings of the International Conference on IoT Socal, Mobile, Analytics and Cloud (I-SMAC 2017). 117–122. DOI:https://doi.org/10.1109/I-SMAC.2017.8058321Google ScholarCross Ref
- NIST Big Data Public Working Group: Definitions and Taxonomies Subgroup. 2015. NIST Big Data Interoperability Framework: Volume 2, Big Data Taxonomies.2, 31. DOI:https://doi.org/10.6028/NIST.SP.1500-2Google Scholar
- Jabu Mtsweni Nobubele, Angel Shozi. (Big) data privacy and security—A systematic analysis of current and future challenges. 1–9.Google Scholar
- Hyeontaek Oh, Sangdon Park, Gyu Myoung Lee, Hwanjo Heo, and Jun Kyun Choi. 2019. Personal data trading scheme for data brokers in iot data marketplaces. IEEE Access 7, (2019), 40120–40132. DOI:https://doi.org/10.1109/ACCESS.2019.2904248Google Scholar
- Marcelo Iury S. Oliveira, Lairson Emanuel R. A. Oliveira, Marlos G. Ribeiro Batista, and Bernadette Farias Lóscio. 2018. Towards a meta-model for data ecosystems. In Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age (dg.o'18). 1--10. DOI:https://doi.org/10.1145/3209281.3209333Google ScholarDigital Library
- Marcelo Iury S. Oliveira, Glória de Fátima Barros Lima, and Bernadette Farias Lóscio. 2019. Investigations into Data Ecosystems: A systematic mapping study. Knowl. Inf. Syst. 61, 2 (November 2019), 589--630. DOI:https://doi.org/10.1007/s10115-018-1323-6Google ScholarCross Ref
- Alice J. Otoole and P. Jonathon Phillips. 2017. Five principles for crowd-source experiments in face recognition. In Proceedings of the 12th IEEE International Conference Automatic Face Gesture Recognition (FG’17). 735–741. DOI:https://doi.org/10.1109/FG.2017.146Google Scholar
- Boris Otto, Kai M. Hüner, and Hubert Österle. 2012. Toward a functional reference model for master data quality management. Inf. Syst. E-bus. Manag. 10, 3 (2012), 395–425. DOI:https://doi.org/10.1007/s10257-011-0178-0Google ScholarCross Ref
- Gautam Pal, Gangmin Li, and Katie Atkinson. 2018. Big data real time ingestion and machine learning. In Proceedings of the 2018 IEEE 2nd International Conference on Data Stream Mining and Processing (DSMP’18) 25–31. DOI:https://doi.org/10.1109/DSMP.2018.8478598Google ScholarCross Ref
- Mark A. Parsons, Øystein Godøy, Ellsworth Ledrew, Taco F. De Bruin, Bruno Danis, Scott Tomlinson, and David Carlson. 2011. A conceptual framework for managing very diverse (big) data for complex, interdisciplinary science. J. Inf. Sci 37, 6 (2011), 555–569. DOI:https://doi.org/10.1177/0165551511412705Google ScholarDigital Library
- Ajeet Ram Pathak, Manjusha Pandey, and Siddharth Rautaray. 2018. Construing the big data based on taxonomy, analytics and approaches. Iran J. Comput. Sci 1, 4 (2018), 237–259. DOI:https://doi.org/10.1007/s42044-018-0024-3Google ScholarCross Ref
- Antti Poikola, Petri Kola, and K. A. Hintikka. 2011. Public data-an introduction to opening information resources. Edita Prima Oy, Helsinki, Finland. Retrieved from https://julkaisut.valtioneuvosto.fi/bitstream/handle/10024/78201/Public_data_-_an_introduction_to_opening_information_resources.pdf?sequence=1.Google Scholar
- Shital Poojary and Jimish Deepak Bagadia. 2014. Reviewing literature for research: Doing it the right way. Ind. J. Sex. Transm. Dis 35, 2 (2014), 85–91. DOI:https://doi.org/10.4103/0253-7184.142387Google ScholarCross Ref
- Marco Pospiech and Carsten Felden. 2013. A descriptive big data model using grounded theory. In Proceedings of the 16th IEEE International Conference on Computer Science Engineering (CSE’13). 878–885. DOI:https://doi.org/10.1109/CSE.2013.132Google ScholarDigital Library
- Artur Potiguara Carvalho, Fernanda Potiguara Carvalho, Edna Dias Canedo, and Pedro Henrique Potiguara Carvalho. 2020. Big data, anonymisation and governance to personal data protection. In ACM International Conference Proceedings Series. 185–195. DOI:https://doi.org/10.1145/3396956.3398253Google Scholar
- Erico Przeybilovicz and Maria Alexandra Cunha. 2018. Open government data programs. In Proceedings of the 19th Annual International Conference on Digital Government Research Governance in the Data Age (dgo'18), ACM Press, New York, New York, USA, 1–2. DOI:https://doi.org/10.1145/3209281.3209346Google ScholarDigital Library
- Nanik Qodarsih, Satrio Baskoro Yudhoatmojo, and Achmad Nizar Hidayanto. 2019. Master data management maturity assessment: A case study in the supreme court of the republic of indonesia. In Proceedings of the 2018 6th International Conference Cyber IT Service Management (CITSM’18). DOI:https://doi.org/10.1109/CITSM.2018.8674373Google Scholar
- Rahul Kapoor Ron Adner. 2010. Value creation in innovation ecosystems—How the structure of technological interdependence affects firm performance in new technology generations. Strateg. Manag. J. 31, 1 (2010), 306–333. DOI:https://doi.org/10.1002/smj.821Google ScholarCross Ref
- Tatiana Lukoianova and Victoria L. Rubin. 2014. Veracity Roadmap: Is Big Data Objective, Truthful and Credible? Adv. Classif. Res. Online 24, 1 (January 2014), 4--15. DOI:https://doi.org/10.7152/acro.v24i1.14671Google ScholarCross Ref
- Khurram Shahzad and Jelena Zdravkovic. 2011. Towards goal-driven access to process warehouse: Integrating goals with process warehouse for business process analysis. In Proceedings of the International Conference on Research Challenges in Information Science (2011). DOI:https://doi.org/10.1109/RCIS.2011.6006861Google ScholarCross Ref
- Goran Smith, Hosea Ayaba Ofe, and Johan Sandberg. 2016. Digital service innovation from open data: Exploring the value proposition of an open data marketplace. In Proceedings of the Annual Hawaii International Conference on System Science. 1277–1286. DOI:https://doi.org/10.1109/HICSS.2016.162Google ScholarDigital Library
- Heather A. Smith and James D. McKeen. 2008. Developments in Practice XXX: Master Data Management: Salvation Or Snake Oil? Commun. Assoc. Inf. Syst. 23, 1 (2008), 63--72. DOI:https://doi.org/10.17705/1CAIS.02304Google Scholar
- Ken Smith, Len Seligman, Arnon Rosenthal, Chris Kurcz, Mary Greer, Catherine MacHeret, Michael Sexton, and Adric Eckstein. 2014. “Big metadata": The need for principled metadata management in big data ecosystems. In Proceedings of the 3rd Workshop on Data Analytics in the Cloud (DanaC’14). 21–24. DOI:https://doi.org/10.1145/2627770.2627776Google ScholarDigital Library
- Statista Organization. Internet of Things (IoT) Connected Devices Installed Base Worldwide from 2015 to 2025 (in billions). Retrieved from https://www.statista.com/statistics/471264/iot-number-of-connected-devices-worldwide/.Google Scholar
- Rufus Pollock. 2011. Building the (Open) Data Ecosystem -- OKF blog. 1--8. Retrieved September 15, 2020 from https://blog.okfn.org/2011/03/31/building-the-open-data-ecosystem/.Google Scholar
- Patrick O'Donovan T. D. 2018. PUBLIC SERVICE DATA STRATEGY - Online Document. Retrieved September 15, 2020 from https://data.gov.ie/uploads/page_images/2019-01-03-110200.740673Public-Service-Data-Strategy-2019-2023.pdf. Google Scholar
- Anucha Tungkasthan, Pitaya Poompuang, and Sarayut Intarasema. 2019. Government data sharing framework based on DIKW hierarchy model. In Proceedings of the International Conference on ICT Knowledge Engineering. 8–11. DOI:https://doi.org/10.1109/ICTKE47035.2019.8966872Google ScholarCross Ref
- Barbara Ubaldi. 2013. OECD iLibrary | Open Government Data: Towards Empirical Analysis of Open Government Data Initiatives. 1--61. Retrieved September 15, 2020 from https://www.oecd-ilibrary.org/governance/open-government-data_5k46bj4f03s7-en.Google Scholar
- Karishma Varshney, Rahul Johari, and R. L. Ujjwal. 2018. BiDuR: Big data analysis in UAF using R-voting system. In Proceedings of the 2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO’17). 333–337. DOI:https://doi.org/10.1109/ICRITO.2017.8342447Google Scholar
- Syed Iftikhar Hussain Shah, Vasilis Peristeras, and Ioannis Magnisalis. 2019. Government (Big) data ecosystems: A systematic literature review. In Proceedings of the International Conference on Digital Information Management. 1–14.Google Scholar
- Ray Wang, Thomas F. Edgar, Michael Baldea, Mark Nixon, Willy Wojsznis, and Ricardo Dunia. 2018. A geometric method regarding batch data visualization, process monitoring and fault detection. J. Process Contr. 67, (2018), 197–205. DOI:https://doi.org/10.1016/j.jprocont.2017.05.011Google Scholar
- Nishigandha V. Wankhade and Madhuri A. Patey. 2014. Transfer learning approach for learning of unstructured data from structured data in medical domain. In Proceedings of the 2013 2nd International Conference on Information Management in the Knowledge Economky (IMKE’13). 86–91.Google Scholar
- Boyi Xu, Li Da Xu, Hongming Cai, Cheng Xie, Jingyuan Hu, and Fenglin Bu. 2014. Ubiquitous data accessing method in iot-based information system for emergency medical services. IEEE Trans. Ind. Inf. 10, 2 (2014), 1578–1586. DOI:https://doi.org/10.1109/TII.2014.2306382Google ScholarCross Ref
- H. S. Yang, L. Zheng, and Y. Huang. 2012. Critical success factors for MES implementation in china. In Proceedings of the IEEE International Conference Industrial Engineering and Engineering Management. 558–562. DOI:https://doi.org/10.1109/IEEM.2012.6837801</bib>Google Scholar
- Jose Jacobo Zubcoff, Llorenç Vaquer, Jose Norberto Mazón, Francisco Maciá, Irene Garrigós, Andrés Fuster, and Jose Vicente Carcel. 2016. The university as an open data ecosystem. Int. J. Des. Nat. Ecodynam. 11, 3 (2016), 250–257. DOI:https://doi.org/10.2495/DNE-V11-N3-250-257Google ScholarCross Ref
- Anneke Zuiderwijk, Marijn Janssen, and Chris Davis. 2014. Innovation with open data: Essential elements of open data ecosystems. Inf. Polity 19, 1–2 (2014), 17–33. DOI:https://doi.org/10.3233/IP-140329Google ScholarCross Ref
- Anneke Zuiderwijk, Marijn Janssen, Geerten Van De Kaa, and Kostas Poulis. 2016. The wicked problem of commercial value creation in open data ecosystems: Policy guidelines for governments. Inf. Polity 21, 3 (2016), 223–236. DOI:https://doi.org/10.3233/IP-160391Google ScholarDigital Library
Index Terms
- Government Big Data Ecosystem: Definitions, Types of Data, Actors, and Roles and the Impact in Public Administrations
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