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Developing House of Information Quality framework for IoT systems

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Abstract

The Internet of Things (IoT) system deals with a large amount of data generated by numerous sensors distributed over a vast geographical area. The goal of gathering such a massive amount of data is to create information. The optimum Information Quality (IQ) is critical for leveraging value from the IoT system. Although several studies have made various proposals on managing IQ, there seems to be a lack of methodologies that are general enough to assist managers in planning or auditing the quality of the information for the IoT systems. Therefore, there is a need for a complete framework that systemically develop the total IQ of the IoT systems. Since information is a product for an IoT system, this paper describes data quality dimensions as components of this product and IoT technical elements as the technical requirements for the product. Moreover, this research paper uses the House of Quality (HoQ) technique to correlate the data quality dimensions with the IoT technical elements. Furthermore, this paper proposes a systematic framework to manage IQ for the IoT systems by describing the implementation of the HoQ technique from the perspective of the IQ management processes. The paper conducts a comparison study as an initial validation for the proposed framework. However, with the continuous development of the IoT industry, this research paper may need to conduct other two validation methods: single-case experiment and expert opinion.

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Abbreviations

DQ:

Data quality

EPC:

Electronic product code

HoQ:

House of Quality

IoT:

Internet of Things

IQ:

Information Quality

IS:

Information system

OWL:

Web Ontology Language

QFD:

Quality function deployment

QoS:

Quality of Service

RDF:

Resource description framework

SLR:

Systematic literature review

TQM:

Total Quality Management

uCode:

Ubiquitous code

UNECE:

United Nations Economic Commission for Europe

VoI:

Value of information

References

  • Abdul-Qawy AS, Pramod PJ, Magesh E, Srinivasulu T (2015) The Internet of Things (IoT): an overview. Int J Eng Res Appl 1(5):71–82

    Google Scholar 

  • Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M (2015) Internet of Things: a survey on enabling technologies, protocols, and applications. IEEE Commun Surv Tutor 17(4):2347–2376

    Google Scholar 

  • Al-Hakim L (2007) Information Quality function deployment. In: Al-Hakim L (ed) Challenges of managing Information Quality in service organizations. IGI Global, Hershey, pp 26–51

    Google Scholar 

  • Aloi G, Caliciuri G, Fortino G, Gravina R, Pace P, Russo W, Savaglio C (2017) Enabling IoT interoperability through opportunistic smartphone-based mobile gateways. J Netw Comput Appl 81:74–84

    Google Scholar 

  • Alzubi J, Nayyar A, Kumar A (2018) Machine learning from theory to algorithms: an overview. In: Journal of physics: conference series, vol 1142, no 1. IOP Publishing, p 012012

  • Alzubi JA, Manikandan R, Alzubi OA, Gayathri N, Patan R (2019a) A survey of specific IoT applications. Int J Emerg Technol 10(1):47–53

    Google Scholar 

  • Alzubi JA, Selvakumar J, Alzubi OA, Manikandan R (2019b) Decentralized Internet of Things. Indian J Public Health Res Dev 10(2):251–254

    Google Scholar 

  • Andrews JG (2013) Seven ways that HetNets are a cellular paradigm shift. IEEE Commun Mag 51(3):136–144

    Google Scholar 

  • Ann FN, Wagh R (2019) Quality assurance in big data analytics: an IoT perspective. Telfor J 11(2):114–118

    Google Scholar 

  • Asghari P, Rahmani AM, Javadi HHS (2019) Internet of Things applications: a systematic review. Comput Netw 148:241–261

    Google Scholar 

  • Atlam, HF, Walters RJ, Wills GB (2018) Intelligence of things: opportunities & challenges. In: 2018 3rd cloudification of the Internet of Things (CIoT). IEEE, pp 1–6

  • Atzori L, Lera A, Morabito G (2010) The Internet of Things: a survey. Comput Netw 54(15):2787–2805

    MATH  Google Scholar 

  • Bandyopadhyay D, Sen J (2011) Internet of Things: applications and challenges in technology and standardization. Wirel Pers Commun 58(1):49–69

    Google Scholar 

  • Baqa H, Truong NB, Crespi N, Lee GM, Le Gall F (2018) Quality of Information as an indicator of trust in the Internet of Things. In: 2018 17th IEEE international conference on trust, security and privacy in computing and communications/12th IEEE international conference on big data science and engineering (TrustCom/BigDataSE). IEEE, pp 204–211

  • Bello O, Zeadally S (2019) Toward efficient smartification of the Internet of Things (IoT) services. Future Gener Comput Syst 92:663–673

    Google Scholar 

  • Bloom G, Alsulami B, Nwafor E, Bertolotti, IC (2018) Design patterns for the industrial Internet of Things. In: 2018 14th IEEE international workshop on factory communication systems (WFCS). IEEE, pp 1–10

  • Borgia E (2014) The Internet of Things vision: key features, applications and open issues. Comput Commun 54:1–31

    Google Scholar 

  • Borgogno O, Colangelo G (2019) Data sharing and interoperability: fostering innovation and competition through APIs. Comput Law Secur Rev 35(5):105314

    Google Scholar 

  • Burhan M, Rehman R, Khan B, Kim BS (2018) IoT elements, layered architectures and security issues: a comprehensive survey. Sensors 18(9):2796

    Google Scholar 

  • Caivano D, Cassano F, Lanzilotti, R, Piccinno A (2018) Towards an IoT model for the assessment of smart devices. In: Proceedings of the 2018 international conference on advanced visual interfaces, pp 1–3

  • Casado-Vara R, de la Prieta F, Prieto J, Corchado JM (2018) Blockchain framework for IoT data quality via edge computing. In: Proceedings of the 1st workshop on blockchain-enabled networked sensor systems, pp 19–24

  • Cerf VG, Singh MP (2010) Internet predictions. IEEE Internet Comput 14(1):10–11

    Google Scholar 

  • Chae BK (2019) The evolution of the Internet of Things (IoT): a computational text analysis. Telecommun Policy 43(10):101848

    Google Scholar 

  • Chatterjee S, Kar AK, Gupta MP (2018) Success of IoT in smart cities of India: an empirical analysis. Gov Inf Q 35(3):349–361

    Google Scholar 

  • Choochotkaew S, Yamaguchi H, Higashino T (2017) Two-tier VOI prioritization system on requirement-based data streaming toward IOT. Mob Inf Syst 2017:1–16. https://doi.org/10.1155/2017/7892545

    Article  Google Scholar 

  • Chowdhury A, Raut SA (2018) A survey study on Internet of Things resource management. J Netw Comput Appl 120:42–60

    Google Scholar 

  • Čolaković A, Hadžialić M (2018) Internet of Things (IoT): a review of enabling technologies, challenges, and open research issues. Comput Netw 144:17–39

    Google Scholar 

  • Condoluci M, Araniti G, Mahmoodi T, Dohler M (2016) Enabling the IoT machine age with 5G: machine-type multicast services for innovative real-time applications. IEEE Access 4:5555–5569

    Google Scholar 

  • Côrte-Real N, Ruivo P, Oliveira T (2020) Leveraging Internet of Things and big data analytics initiatives in European and American firms: is data quality a way to extract business value? Inf Manag 57(1):103141

    Google Scholar 

  • Danish SM (2019) A blockchain-based adaptive middleware for large scale Internet of Things data storage selection. In: Proceedings of the 20th international middleware conference doctoral symposium, pp 17–19

  • De Aquino GRC, De Farias CM, Pirmez L (2019) Hygieia: data quality assessment for smart sensor network. In: Proceedings of the 34th ACM/SIGAPP symposium on applied computing, pp 889–891

  • Debattista J, Auer S, Lange C (2016) Luzzu—a methodology and framework for linked data quality assessment. J Data Inf Q: JDIQ 8(1):4

    Google Scholar 

  • Diène B, Rodrigues JJ, Diallo O, Ndoye EHM, Korotaev VV (2020) Data management techniques for Internet of Things. Mech Syst Signal Process 138:106564

    Google Scholar 

  • Eastman CM, Jeong YS, Sacks R, Kaner I (2009) Exchange model and exchange object concepts for implementation of national BIM standards. J Comput Civ Eng 24(1):25–34

    Google Scholar 

  • English LP (2003) Total Information Quality management: a complete methodology for IQ management. Dm Rev 9(03):7320–7321

    Google Scholar 

  • English LP (2009) Information Quality applied: best practices for improving business information, processes and systems. Wiley Publishing, Hoboken

    Google Scholar 

  • Eppler MJ, Wittig D (2000) Conceptualizing Information Quality: a review of Information Quality frameworks from the last ten years. IQ 20:83–96

    Google Scholar 

  • Falkenreck C, Wagner R (2017) The Internet of Things-chance and challenge in industrial business relationships. Ind Mark Manag 66:181–195

    Google Scholar 

  • Farhan L, Kharel R, Kaiwartya O, Quiroz-Castellanos M, Alissa A, Abdulsalam M (2018) A concise review on Internet of Things (IoT)-problems, challenges and opportunities. In: 2018 11th international symposium on communication systems, networks & digital signal processing (CSNDSP). IEEE, pp 1–6

  • Farooq MM, Khattak HA, Imran M (2018) Data quality techniques in the Internet of Things: random forest regression. In: 2018 14th international conference on emerging technologies (ICET). IEEE, pp 1–4

  • Firdausi A (2016) Overview the Internet of Things (IOT) system security, applications, architecture and business models. Universitas of Electrical Engineering, Indonesia

    Google Scholar 

  • Firmani D, Mecella M, Scannapieco M, Batini C (2016) On the meaningfulness of “big data quality”. Data Sci Eng 1(1):6–20

    Google Scholar 

  • Fok CL, Julien C, Roman GC, Lu C (2011) Challenges of satisfying multiple stakeholders: quality of service in the Internet of Things. In: Proceedings of the 2nd workshop on software engineering for sensor network applications. ACM, pp 55–60

  • Fonseca J, Ferraz C, Gama K (2016) A policy-based coordination architecture for distributed complex event processing in the Internet of Things: doctoral symposium. In: Proceedings of the 10th ACM international conference on distributed and event-based systems. ACM, pp 418–421

  • Francisco M, Alves-Souza SN, Campos EG, De Souza LS (2017) Total data quality management and total Information Quality management applied to costumer relationship management. In: Proceedings of the 9th international conference on information management and engineering, ACM, pp 40–45

  • Geisler S, Quix C, Weber S, Jarke M (2016) Ontology-based data quality management for data streams. J Data Inf Qual: JDIQ 7(4):18

    Google Scholar 

  • Giacobbe M, Di Pietro R, Minnolo AL, Puliafito A (2018) Evaluating Information Quality in delivering IoT-as-a-service. In: 2018 IEEE international conference on smart computing (SMARTCOMP). IEEE, pp 405–410

  • Glória A, Cercas F, Souto N (2017) Design and implementation of an IoT gateway to create smart environments. Procedia Comput Sci 109:568–575

    Google Scholar 

  • Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener Comput Syst 29(7):1645–1660

    Google Scholar 

  • Gupta A, Jha RK (2015) A survey of 5G network: architecture and emerging technologies. IEEE Access 3:1206–1232

    Google Scholar 

  • Hachem S, Teixeira T, Issarny V (2011) Ontologies for the Internet of Things. In: Proceedings of the 8th middleware doctoral symposium. ACM

  • Hajiheydari N, Talafidaryani M, Khabiri S (2019) IoT big data value map: how to generate value from IoT data. In: Proceedings of the 2019 the 5th international conference on e-society, e-learning and e-technologies, pp 98–103

  • Hauser JR (1993) How Puritan–Bennett used the house of quality. Sloan Manag Rev 34(3):61–70

    Google Scholar 

  • Hsiao YC, Wu MH, Li SC (2019) Elevated performance of the smart city—a case study of the IoT by innovation mode. IEEE Trans Eng Manag 2019:1–15. https://doi.org/10.1109/TEM.2019.2908962

    Article  Google Scholar 

  • Institute CMMI (2014) Data management maturity (DMM) model. CMMI Institute, Pittsburgh, PA

    Google Scholar 

  • Iriste S, Katane I (2018) Expertise as a research method in education. In: Rural environment, education, personality (REEP). Proceedings of the international scientific conference (Latvia). Latvia University of Life Sciences and Technologies

  • Jabar MA, Alnatsha AS (2014) Knowledge management system quality: a survey of knowledge management system quality dimensions. In: 2014 international conference on computer and information sciences (ICCOINS). IEEE, pp 1–5

  • Jaigirdar FT, Rudolph C, Bain C (2019). Can I trust the data I see? A physician’s concern on medical data in IoT health architectures. In: Proceedings of the Australasian computer science week multiconference, pp 1–10

  • Jara AJ, Zamora MA, Skarmeta A (2012) Glowbal IP: an adaptive and transparent IPv6 integration in the Internet of Things. Mobile Inf Syst 8(3):177–197

    Google Scholar 

  • Jazaeri SS, Berangi R (2016) Survey present and future visions of Internet of Things (IoT). Sci J 8(7):8–14

    Google Scholar 

  • Jermyn J, Jover RP, Murynets I, Istomin M, Stolfo S (2015) Scalability of machine to machine systems and the Internet of Things on LTE mobile networks. In: 2015 IEEE 16th international symposium on a world of wireless, mobile and multimedia networks (WoWMoM). IEEE, pp 1–9

  • Kandari JS, Jones EC, Nah FF, Bishu RR (2011) Information Quality on the world wide web: a framework to measure and its validation. In: Proceedings of the 17th international conference on information systems analysis and synthesis. Retrieved from http://www.iiis.org/CDs2011/CD2011IMC/ISAS_2011/PapersPdf/UA623FD

  • Kim M, Ahn H, Kim KP (2016) Process-aware Internet of Things: a conceptual extension of the Internet of Things framework and architecture. KSII Trans Internet Inf Syst TIIS 10(8):4008–4022

    Google Scholar 

  • Kim BY, Choi SS, Jang JW (2018) Data managing and service exchanging on IoT service platform based on blockchain with smart contract and spatial data processing. In: Proceedings of the 2018 international conference on information science and system, pp 59–63

  • Kim S, Del Castillo R, Caballero I, Lee J, Lee C, Lee D, Lee S, Mate A (2019) Extending data quality management for smart connected product operations. IEEE Access 7:144663–144678

    Google Scholar 

  • Lee I (2019) The Internet of Things for enterprises: an ecosystem, architecture, and IoT service business model. Internet Things 7:100078

    Google Scholar 

  • Lee YE, Benbasat I (2004) A framework for the study of customer interface design for mobile commerce. Int J Electron Commer 8(3):79–102

    Google Scholar 

  • Lee SH, Haider A (2013) Identifying relationships of Information Quality dimensions. IEEE, pp 1217–1228

  • Lee I, Lee K (2015) The Internet of Things (IoT): applications, investments, and challenges for enterprises. Bus Horiz 58(4):431–440

    Google Scholar 

  • Lee YW, Strong DM, Kahn BK, Wang RY (2002) AIMQ: a methodology for Information Quality assessment. Inf Manag 40(2):133–146

    Google Scholar 

  • Li Pan S, Tian J (2013) The relation research of data quality to decision quality and results in emergency decision-making. In: 2013 international conference on advanced computer science and electronics information (ICACSEI 2013). Atlantis Press

  • Lóscio BF, Batista M, Souza D, Salgado AC (2012) Using Information Quality for the identification of relevant web data sources: a proposal. In: Proceedings of the 14th international conference on information integration and web-based applications & services. ACM, pp 36–44

  • Manyika J (2011) Big data: the next frontier for innovation, competition, and productivity. http://www.mckinsey.com/Insights/MGI/Research/Technology_and_Innovation/Big_data_The_next_frontier_for_innovation

  • Marques G, Garcia N, Pombo N (2017) A survey on IoT: architectures, elements, applications, QoS, platforms and security concepts. In: Mavromoustakis C, Mastorakis G, Dobre C (eds) Advances in mobile cloud computing and big data in the 5G era. Studies in big data, vol 22. Springer, Cham, pp 115–130

    Google Scholar 

  • Martin N, Poulovassilis A, Wang J (2014) A methodology and architecture embedding quality assessment in data integration. J Data Inf Q: JDIQ 4(4):17

    Google Scholar 

  • McGilvray D (2008) Executing data quality projects: ten steps to quality data and trusted information (TM). Elsevier, Amsterdam

    Google Scholar 

  • McGuinness DL, Van Harmelen F (2004) OWL web ontology language overview. W3C Recomm 10(10):2004

    Google Scholar 

  • McNaull J, Augusto JC, Mulvenna M, McCullagh P (2012) Data and Information Quality issues in ambient assisted living systems. J Data Inf Q: JDIQ 4(1):4

    Google Scholar 

  • Mehta R, Sahni J, Khanna K (2018) Internet of Things: vision, applications and challenges. Procedia Comput Sci 132:1263–1269

    Google Scholar 

  • Mendki P (2019) Blockchain enabled IoT edge computing. In: Proceedings of the 2019 international conference on blockchain technology, pp 66–69

  • Moges HT, Dejaeger K, Lemahieu W, Baesens B (2013) A multidimensional analysis of data quality for credit risk management: new insights and challenges. Inf Manag 50(1):43–58

    Google Scholar 

  • Motta RC, De Oliveira, KM, Travassos, GH (2018) On challenges in engineering IoT software systems. In: Proceedings of the XXXII Brazilian symposium on software engineering, pp 42–51

  • Naumann F (2003) Quality-driven query answering for integrated information systems, vol 2261. Springer, Berlin

    MATH  Google Scholar 

  • Nelson LT (2018) Moving from the IoT to the IoP: applying Mary Parker Follett’s circular response, integration, and law of the situation to the role and responsibilities of the user in the IoPTS workplace. In: Simmers CA, Anandarajan M (eds) The Internet of people, things and services. Routledge, New York, NY, pp 11–30

    Google Scholar 

  • Olson JE (2003) Data quality: the accuracy dimension. Elsevier, Amsterdam

    Google Scholar 

  • Owlia MS (2010) A framework for quality dimensions of knowledge management systems. Total Qual Manag 21(11):1215–1228

    Google Scholar 

  • Palattella MR, Dohler M, Grieco A, Rizzo G, Torsner J, Engel T, Ladid L (2016) Internet of Things in the 5G era: enabling technologies and business models. IEEE J Sel Areas Commun 34(3):1–9

    Google Scholar 

  • Perez-Castillo R, Carretero, AG, Rodriguez M, Caballero I, Piattini M, Mate A, Kim S, Lee D (2018) Data quality best practices in IoT environments. In: 2018 11th international conference on the quality of information and communications technology (QUATIC). IEEE, pp 272–275

  • Pipino LL, Lee YW, Wang RY (2002) Data quality assessment. Commun ACM 45(4):211–218

    Google Scholar 

  • Pontes PM, Lima B, Faria, JP (2018) Test patterns for IoT. In: Proceedings of the 9th ACM SIGSOFT international workshop on automating TEST case design, selection, and evaluation, pp 63–66

  • Rahman LF, Ozcelebi T, Lukkien J (2018) Understanding IoT systems: a life cycle approach. Procedia Comput Sci 130:1057–1062

    Google Scholar 

  • Rane SB, Narvel YAM (2019) Re-designing the business organization using disruptive innovations based on blockchain-IoT integrated architecture for improving agility in future Industry 4.0. Benchmarking Int J 26:1–26. https://doi.org/10.1108/BIJ-12-2018-0445

    Article  Google Scholar 

  • Rani SS, Alzubi JA, Lakshmanaprabu SK, Gupta D, Manikandan R (2019) Optimal users based secure data transmission on the internet of healthcare things (IoHT) with lightweight block ciphers. Multimed Tools Appl. https://doi.org/10.1007/s11042-019-07760-5

    Article  Google Scholar 

  • Rasool T, Warraich NF (2018) Does quality matter: a systematic review of Information Quality of E-Government websites. In: Proceedings of the 11th international conference on theory and practice of electronic governance. ACM, pp 433–442

  • Ray PP (2018) A survey on Internet of Things architectures. J King Saud Univ Comput Inf Sci 30(3):291–319

    Google Scholar 

  • Redman TC, Blanton A (1997) Data quality for the information age. Artech House Inc., Norwood

    Google Scholar 

  • Reggio G (2018) A UML-based proposal for IoT system requirements specification. In: Proceedings of the 10th international workshop on modelling in software engineering, pp 9–16

  • Roman R, Najera P, Lopez J (2011) Securing the Internet of Things. Computer 9:51–58

    Google Scholar 

  • Saarikko T, Westergren UH, Blomquist T (2017) The Internet of Things: are you ready for what’s coming? Bus Horiz 60(5):667–676

    Google Scholar 

  • Sadeeq MA, Zeebaree SR, Qashi R, Ahmed SH, Jacksi K (2018) Internet of things security: a survey. In: 2018 international conference on advanced science and engineering (ICOASE). IEEE, pp 162–166

  • Sadhukhan P (2018) An IoT based framework for smart city services. In: 2018 international conference on communication, computing and Internet of Things (IC3IoT). IEEE, pp 376–379

  • Salahuddin MA, Al-Fuqaha A, Guizani M, Shuaib K, Sallabi F (2018) Softwarization of Internet of Things infrastructure for secure and smart healthcare. arXiv:1805.11011

  • Saleem J, Hammoudeh M, Raza U, Adebisi B, Ande R (2018) IoT standardisation: challenges, perspectives and solution. In: Proceedings of the 2nd international conference on future networks and distributed systems, pp 1–9

  • Samaniego M, Deters R (2016) Management and Internet of Things. Procedia Comput Sci 94:137–143

    Google Scholar 

  • Scannapieco M, Catarci T (2002) Data quality under a computer science perspective. Arch Comput 2:1–15

    Google Scholar 

  • Scholtz B, Kapeso M, Van Belle JP (2018) An Internet of Things (IoT) model for optimising downtime management: a smart lighting case study. In: IFIP international Internet of Things conference. Springer, Cham, pp 89–104

  • Sethuraman J, Alzubi JA, Manikandan R, Gheisari M, Kumar A (2019) Eccentric methodology with optimization to unearth hidden facts of search engine result pages. Recent Pat Comput Sci 12(2):110–119

    Google Scholar 

  • Shamala P, Ahmad R, Zolait A, Sedek M (2017) Integrating Information Quality dimensions into information security risk management (ISRM). J Inf Secur Appl 36:1

    Google Scholar 

  • Shen XX, Tan KC, Xie M (2001) The implementation of quality function deployment based on linguistic data. J Intell Manuf 12(1):65–75

    Google Scholar 

  • Sicari S, Rizzardi A, Miorandi D, Coen-Porisini A (2018) A risk assessment methodology for the Internet of Things. Comput Commun 129:67–79

    Google Scholar 

  • Sidi F, Panahy PH, Affendey LS, Jabar MA, Ibrahim H, Mustapha A (2012) Data quality: a survey of data quality dimensions. In: 2012 international conference on information retrieval & knowledge management. IEEE, pp 300–304

  • Silva JDC, Pereira PH, de Souza LL, Marins CN, Marcondes GA, Rodrigues JJ (2018). Performance evaluation of IoT network management platforms. In: 2018 international conference on advances in computing, communications and informatics (ICACCI). IEEE, pp 259–265

  • Silva D, Gonçalves TG, da Rocha ARC (2019) A requirements engineering process for IoT systems. In: Proceedings of the XVIII Brazilian symposium on software quality, pp 204–209

  • Simmhan Y, Ravindra P, Chaturvedi S, Hegde M, Ballamajalu R (2018) Towards a data-driven IoT software architecture for smart city utilities. Softw Pract Exp 48(7):1390–1416

    Google Scholar 

  • Soltanmohammadi E, Ghavami K, Naraghi-Pour M (2016) A survey of traffic issues in machine-to-machine communications over LTE. IEEE Internet Things J 3(6):865–884

    Google Scholar 

  • Soret B, Pedersen KI, Jørgensen NT, Fernández-López V (2015) Interference coordination for dense wireless networks. IEEE Commun Mag 53(1):102–109

    Google Scholar 

  • Stvilia B, Gasser L, Twidale MB, Smith LC (2007) A framework for Information Quality assessment. J Am Soc Inform Sci Technol 58(12):1720–1733

    Google Scholar 

  • Sukode S, Gite S, Agrawal H (2015) Context aware framework in IoT: a survey. Int J 4(1):1–9

    Google Scholar 

  • Tambotoh JJ, Isa SM, Gaol FL, Soewito B, Warnars HL (2016) Software quality model for Internet of Things governance. In: 2016 international conference on data and software engineering (ICoDSE). IEEE, pp 1–6

  • Tang B, Kang H, Fan J, Li Q, Sandhu R (2019) Iot passport: a blockchain-based trust framework for collaborative internet-of-things. In: Proceedings of the 24th ACM symposium on access control models and technologies, pp 83–92

  • Temponi C, Yen J, Tiao WA (1999) House of quality: a fuzzy logic-based requirements analysis. Eur J Oper Res 117(2):340–354

    MATH  Google Scholar 

  • Tiwary A, Mahato M, Chidar A, Chandrol MK, Shrivastava M, Tripathi M (2018) Internet of Things (IoT): research, architectures and applications. Int J Future Revolut Comput Sci Commun Eng 4(3):23–27

    Google Scholar 

  • Togneri R, Camponogara G, Soininen JP, Kamienski C (2019) Foundations of data quality assurance for IoT-based smart applications. In: 2019 IEEE Latin-American conference on communications (LATINCOM). IEEE, pp 1–6

  • Vandana CP, Chikkamannur AA (2016) IOT future in edge computing. Int J Adv Eng Res Sci 3(12):148–154

    Google Scholar 

  • Vaziri R, Mohsenzadeh M (2012) Towards a practical “state reconstruction” for data quality methodologies: a customized list of dimensions. In: Wyld DC, Zizka J, Nagamalai D (eds) Advances in computer science, engineering & applications. Springer, Berlin, Heidelberg, pp 825–835

    Google Scholar 

  • Vertan C, Merkmale RF (2004) Resource description framework (rdf). Links

  • Vijayalakshmi SR, Muruganand S (2016) Challenges in integrating wireless sensor network and Internet of Things for environmental monitoring. World Sci News 41:8

    Google Scholar 

  • Vyas DA, Bhatt D, Jha D (2015) IoT: trends, challenges and future scope. IJCSC 7(1):186–197

    Google Scholar 

  • Wand Y, Wang RY (1996) Anchoring data quality dimensions in ontological foundations. Commun ACM 39(11):86–95

    Google Scholar 

  • Wang RY (1998) A product perspective on total data quality management. Commun ACM 41(2):58–66

    Google Scholar 

  • Wang RY, Strong DM (1996) Beyond accuracy: what data quality means to data consumers. J Manag Inf Syst 12(4):5–33

    Google Scholar 

  • Weyrich M, Ebert C (2015) Reference architectures for the Internet of Things. IEEE Softw 33(1):112–116

    Google Scholar 

  • Wieringa RJ (2014) Single-case mechanism experiments. In: Design science methodology for information systems and software engineering. Springer, Berlin, pp 247–267. https://doi.org/10.1007/978-3-662-43839-8

  • Wörner D, Von Bomhard T (2014) When your sensor earns money: exchanging data for cash with Bitcoin. In: Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing: adjunct publication. ACM, pp 295–298

  • Yan Z, Zhang P, Vasilakos AV (2014) A survey on trust management for Internet of Things. J Netw Comput Appl 42:120–134

    Google Scholar 

  • Yao L, Sheng QZ, Ngu AH, Ashman H, Li X (2014) Exploring recommendations in Internet of Things. In: Proceedings of the 37th international ACM SIGIR conference on research & development in information retrieval. ACM, pp 855–858

  • Yebenes J, Zorrilla M (2019) Towards a data governance framework for third generation platforms. Procedia Comput Sci 151:614–621

    Google Scholar 

  • Younan M, Houssein EH, Elhoseny M, Ali AA (2020) Challenges and recommended technologies for the industrial Internet of Things: a comprehensive review. Measurement 151:107198

    Google Scholar 

  • Zadeh PA, Wang G, Cavka HB, Staub-French S, Pottinger R (2017) Information Quality assessment for facility management. Adv Eng Inform 33:181–205

    Google Scholar 

  • Zarraga-Rodriguez M, Alvarez MJ (2015) Experience: information dimensions affecting employees’ perceptions towards being well informed. J Data Inf Qual: JDIQ 6(2–3):12

    Google Scholar 

  • Zheng Z, Mao W, Wu F, Chen G (2019) Challenges and opportunities in IoT data markets. In: Proceedings of the fourth international workshop on social sensing, pp 1–2

  • Zhu C, Leung VC, Shu L, Ngai EC (2015) Green Internet of Things for smart world. IEEE Access 3:2151–2162

    Google Scholar 

  • Zikria YB, Yu H, Afzal MK, Rehmani MH, Hahm O (2018) Internet of things (IoT): operating system, applications and protocols design, and validation techniques. Future Gener Comput Syst 88:699–706

    Google Scholar 

  • Zubair N, Hebbar K, Simmhan Y (2019) Characterizing IoT data and its quality for use. arXiv:1906.10497

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Authors and Affiliations

  1. Engineering Management Department, College of Engineering, University of Sharjah, Sharjah, United Arab Emirates

    Rawhi Alrae, Qassim Nasir & Manar Abu Talib

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  1. Rawhi Alrae
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  2. Qassim Nasir
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  3. Manar Abu Talib
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Correspondence to Rawhi Alrae.

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Alrae, R., Nasir, Q. & Abu Talib, M. Developing House of Information Quality framework for IoT systems. Int J Syst Assur Eng Manag 11, 1294–1313 (2020). https://doi.org/10.1007/s13198-020-00989-6

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  • DOI: https://doi.org/10.1007/s13198-020-00989-6

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