Skip to main content

Open Data in the Enterprise Context: Assessing Open Corporate Data’s Readiness for Use

  • Conference paper
  • First Online:
Data Management Technologies and Applications (DATA 2020)

Abstract

Open data initiatives have long focused on motivating governmental bodies to open up their data. Although governments and other organizations make their data increasingly available, open data consumers are reluctant or experience difficulties with using open data. Prior studies have therefore set the focus on open data portals and open data quality, but only few have examined enterprises as consumers of open data. To close this gap, we aim at assessing whether open data is ready for use by enterprises. We focus our efforts on open corporate data, i.e., data on companies provided by business registers, which has confirmed reuse potential. Our assessment of 30 business registers confirms that the heterogeneity of access, licensing, publishing conditions, and content in open corporate datasets hinder their reuse in a business context. Only half of analyzed registers provide companies’ full legal addresses, only 20% mention their complete organizational information, while contact details are fully available in 13% of all the cases. We find that open data’s readiness for use from an enterprise perspective is highly dependent on the concrete use case.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Braunschweig, K., Eberius, J., Thiele, M., Lehner, W.: The state of open data. Limits of current open data platforms. In: Proceedings of 21st World Wide Web Conference 2012, pp. 1–6. ACM (2012)

    Google Scholar 

  2. Manyika, J., Chui, M., Groves, P., Farrell, D., Van Kuiken, S., Doshi, E.A.: Open data: Unlocking innovation and performance with liquid information. McKinsey Global Institute (2013)

    Google Scholar 

  3. European Commission. Directorate General for the Information Society and Media, Capgemini Consulting, Intrasoft International, Fraunhofer Fokus, con.terra, Sogeti. Open Data Institute, Time.lex, University of Southampton.: Creating value through open data: study on the impact of re-use of public data resources. European Union (2015)

    Google Scholar 

  4. Zuiderwijk, A., Janssen, M., Choenni, S., Meijer, R., Alibaks, R.S.: Socio-technical Impediments of Open Data, vol. 10, p. 17 (2012)

    Google Scholar 

  5. Publications Office of the EU: Open data maturity report 2019 (2020)

    Google Scholar 

  6. Bizer, C., Heath, T., Berners-Lee, T.: Linked data - The story so far. Int. J. Semant. Web Inf. Syst. 5, 1–22 (2009)

    Google Scholar 

  7. Puha, A., Rinciog, O., Posea, V.: Enhancing open data knowledge by extracting tabular data from text images. In: Proceedings of the 7th International Conference on Data Science, Technology and Applications, pp. 220–228. SCITEPRESS - Science and Technology Publications, Porto, Portugal (2018)

    Google Scholar 

  8. Davies, T., Walker, S., Rubenstien, M., Perini, F. (eds.): The state of open data: histories and horizons. In: African Minds and International Development Research Centre (2019)

    Google Scholar 

  9. Deloitte Analytics: Open Data – Driving Growth, Ingenuity and Innovation. https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/deloitte-analytics/open-data-driving-growth-ingenuity-and-innovation.pdf. Accessed 09 July 2019

  10. Dinter, B., Kollwitz, C.: Towards a framework for open data related innovation contests. In: Proceedings of the 2016 Pre-ICIS SIGDSA/IFIP WG8.3 Symposium: Innovations in Data Analytics, p. 13 (2016)

    Google Scholar 

  11. Oliveira, M.I.S., de Oliveira, L.E.R., Lima, G., de Fatima, A.B., Lóscio, B.F.: Enabling a unified view of open data catalogs. In: Proceedings of the 18th International Conference on Enterprise Information Systems, pp. 230–239. SCITEPRESS - Science and and Technology Publications, Rome, Italy (2016)

    Google Scholar 

  12. Janssen, M., Charalabidis, Y., Zuiderwijk, A.: Benefits, adoption barriers and myths of open data and open government. Inf. Syst. Manag. 29, 258–268 (2012)

    Article  Google Scholar 

  13. Martin, S., Foulonneau, M., Turki, S., Ihadjadene, M.: Risk analysis to overcome barriers to open data. Electron. J. e-Government 11, 348–359 (2013)

    Google Scholar 

  14. Krasikov, P., Obrecht, T., Legner, C., Eurich, M.: Is open data ready for use by enterprises? Learnings from corporate registers. In: Proceedings of the 9th International Conference on Data Science, Technology and Applications, pp. 109–120. SCITEPRESS - Science and Technology Publications, Lieusaint - Paris, France (2020)

    Google Scholar 

  15. Varytimou, A., Loutas, N., Peristeras, V.: Towards linked open business registers: the application of the registered organization vocabulary in Greece. Int. J. Semant. Web Inf. Syst. 11, 66–92 (2015)

    Article  Google Scholar 

  16. Barry, E., Bannister, F.: Barriers to open data release: a view from the top. IP 19, 129–152 (2014)

    Article  Google Scholar 

  17. Conradie, P., Choenni, S.: On the barriers for local government releasing open data. Gov. Inf. Q. 31, S10–S17 (2014)

    Article  Google Scholar 

  18. Beno, M., Figl, K., Umbrich, J., Polleres, A.: Open data hopes and fears: determining the barriers of open data. In: 2017 Conference for E-Democracy and Open Government (CeDEM), pp. 69–81. IEEE, Krems, Austria (2017)

    Google Scholar 

  19. Vetrò, A., Canova, L., Torchiano, M., Minotas, C.O., Iemma, R., Morando, F.: Open data quality measurement framework: definition and application to Open Government Data. Gov. Inf. Q. 33, 325–337 (2016)

    Article  Google Scholar 

  20. Wang, R., Strong, D.: Beyond accuracy: what data quality means to data consumers. J. Manag. Inf. Syst. 12, 5–33 (1996)

    Article  Google Scholar 

  21. Osagie, E., Waqar, M., Adebayo, S., Stasiewicz, A., Porwol, L., Ojo, A.: Usability evaluation of an open data platform. In: Proceedings of the 18th Annual International Conference on Digital Government Research, pp. 495–504. ACM, New York, NY, USA (2017)

    Google Scholar 

  22. Bogdanović-Dinić, S., Veljković, N., Stoimenov, L.: How open are public government data? An assessment of seven open data portals. In: Rodríguez-Bolívar, M.P. (ed.) Measuring E-government Efficiency. PAIT, vol. 5, pp. 25–44. Springer, New York (2014). https://doi.org/10.1007/978-1-4614-9982-4_3

    Chapter  Google Scholar 

  23. Open Government Working Group: The 8 Principles of Open Government Data. https://opengovdata.org/. Accessed 23 July 2019

  24. Reiche, K.J., Höfig, E., Schieferdecker, I.: Assessment and visualization of metadata quality for open government data. In: Conference for E-Democracy and Open Government, pp. 335–346. Donau-Universität (2014)

    Google Scholar 

  25. Umbrich, J., Neumaier, S., Polleres, A.: Quality assessment and evolution of open data portals. In: 2015 3rd International Conference on Future Internet of Things and Cloud, pp. 404–411. IEEE, Rome, Italy (2015)

    Google Scholar 

  26. Neumaier, S., Umbrich, J., Polleres, A.: Automated quality assessment of metadata across open data portals. J. Data Inf. Qual. 8, 1–29 (2016)

    Article  Google Scholar 

  27. Máchová, R., Lněnička, M.: Evaluating the quality of open data portals on the national level. J. Theor. Appl. Electron. Commer. Res. 12, 21–41 (2017)

    Article  Google Scholar 

  28. Welle Donker, F., van Loenen, B.: How to assess the success of the open data ecosystem? Int. J. Digital Earth. 10, 284–306 (2017)

    Article  Google Scholar 

  29. Bicevskis, J., Bicevska, Z., Nikiforova, A., Oditis, I.: Data quality evaluation: a comparative analysis of company registers’ open data in four European countries. In: Presented at the 2018 Federated Conference on Computer Science and Information Systems (2018)

    Google Scholar 

  30. Kubler, S., Robert, J., Neumaier, S., Umbrich, J., Le Traon, Y.: Comparison of metadata quality in open data portals using the Analytic Hierarchy Process. Gov. Inf. Q. 35, 13–29 (2018)

    Article  Google Scholar 

  31. Stróżyna, M., Eiden, G., Abramowicz, W., Filipiak, D., Małyszko, J., Węcel, K.: A framework for the quality-based selection and retrieval of open data - a use case from the maritime domain. Electron. Mark. 28(2), 219–233 (2017). https://doi.org/10.1007/s12525-017-0277-y

    Article  Google Scholar 

  32. Zhang, R., Indulska, M., Sadiq, S.: Discovering data quality problems: the case of repurposed data. Bus. Inf. Syst. Eng. 61, 575–593 (2019)

    Article  Google Scholar 

  33. Weerakkody, V., Irani, Z., Kapoor, K., Sivarajah, U., Dwivedi, Y.K.: Open data and its usability: an empirical view from the Citizen’s perspective. Inf. Syst. Front. 19(2), 285–300 (2016). https://doi.org/10.1007/s10796-016-9679-1

    Article  Google Scholar 

  34. Directive 2012/17/EU of the European Parliament and of the Council of 13 June 2012 amending Council Directive 89/666/EEC and Directives 2005/56/EC and 2009/101/EC of the European Parliament and of the Council as regards the interconnection of central, commercial and companies registers Text with EEA relevance (2012)

    Google Scholar 

  35. Koznov, D., Andreeva, O., Nikula, U., Maglyas, A., Muromtsev, D., Radchenko, I.: A survey of open government data in Russian Federation: In: Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. SCITEPRESS - Science and Technology Publications, Porto, Portugal, pp. 173–180 (2016)

    Google Scholar 

  36. Bryman, A., Bell, E.: Business Research Methods. Oxford University Press, Oxford (2007)

    Google Scholar 

  37. Creswell, J.W.: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publications, Thousand Oaks (2009)

    Google Scholar 

  38. Krasikov, P., Harbich, M., Legner, C., Eurich, M.: Open data use cases: Framework for the generation and documentation of open data use cases (2019). https://www.cc-cdq.ch/system/files/Open_data_use_cases_working_report_2019.pdf

  39. GLEIF: Registration Authorities List. https://www.gleif.org/en/about-lei/code-lists/gleif-registration-authorities-list. Accessed 26 Oct 2020

  40. List of company, tax and statistical business registers (2020). https://en.wikipedia.org/w/index.php?title=List_of_company,_tax_and_statistical_business_registers&oldid=985324530

  41. OpenDataBarometer, World Wide Web Foundation: Open Data Barometer. https://opendatabarometer.org/?_year=2017&indicator=ODB. Accessed 26 Oct 2020

  42. Global Open Data Index: Company Register. https://index.okfn.org/dataset/companies/. Accessed 26 Oct 2020

  43. OpenCorporates: Open Company Data Index. http://registries.opencorporates.com/. Accessed 27 Oct 2020

  44. GLEIF: Accreditation Process. https://www.gleif.org/en/about-lei/gleif-accreditation-of-lei-issuers/accreditation-process. Accessed 16 Nov 2019

  45. Kampars, J., Zdravkovic, J., Stirna, J., Grabis, J.: Extending organizational capabilities with Open Data to support sustainable and dynamic business ecosystems. Softw. Syst. Model. 19(2), 371–398 (2019). https://doi.org/10.1007/s10270-019-00756-7

    Article  Google Scholar 

  46. euBusinessGraph: Ontology for Company Data. https://www.eubusinessgraph.eu/eubusinessgraph-ontology-for-company-data/. Accessed 15 Nov 2019

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pavel Krasikov .

Editor information

Editors and Affiliations

Appendices

Appendix 1

See Table 9.

Table 9. Definition of attributes [14].

Appendix 2

See Figs. 4, 5, 6

Fig. 4.
figure 4

Metadata analysis of corporate registers 1 to 10.

Fig. 5.
figure 5

Metadata analysis of corporate registers 11 to 20.

Fig. 6.
figure 6

Metadata analysis of corporate registers 21 to 30.

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Krasikov, P., Obrecht, T., Legner, C., Eurich, M. (2021). Open Data in the Enterprise Context: Assessing Open Corporate Data’s Readiness for Use. In: Hammoudi, S., Quix, C., Bernardino, J. (eds) Data Management Technologies and Applications. DATA 2020. Communications in Computer and Information Science, vol 1446. Springer, Cham. https://doi.org/10.1007/978-3-030-83014-4_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-83014-4_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-83013-7

  • Online ISBN: 978-3-030-83014-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics