Current status and the future directions of open data: perceptions from the finnish industry

Open data has been a hot topic of the decade, as even the president of the United States has given input to the deployment of open data practices. Besides politics, open data has been discussed in the scientific literature. So far the big breakthrough has not happened, although several cases have proved that the open data concept works, and provides positive results in several ways. In this article, we study and discuss the perceptions towards open data in business. Our data consisted of 45 survey responses gathered from various Finnish companies. The results indicate that companies want to use open data in different ways --- ranging from application development to process efficiency --- but at the moment open data in Finland is scattered and most of the companies do not find what they need. These findings are in line with the previous research executed on the field and argue that open data still needs more positive examples of application, but the potential is real, and companies consider it as a useful concept.

[1]  Paul Booth,et al.  The economics of data: quality, value & exchange in web observatories , 2013, WWW '13 Companion.

[2]  H. Chernoff,et al.  The Use of Maximum Likelihood Estimates in {\chi^2} Tests for Goodness of Fit , 1954 .

[3]  Niels Bjørn-Andersen,et al.  Generating Value from Open Government Data , 2013, ICIS.

[4]  Marijn Janssen,et al.  Innovation with open data: Essential elements of open data ecosystems , 2014, Inf. Polity.

[5]  Yannis Charalabidis,et al.  Benefits, Adoption Barriers and Myths of Open Data and Open Government , 2012, Inf. Syst. Manag..

[6]  Shari Lawrence Pfleeger,et al.  Preliminary Guidelines for Empirical Research in Software Engineering , 2002, IEEE Trans. Software Eng..

[7]  Stephen G. MacDonell,et al.  A comparison of techniques for developing predictive models of software metrics , 1997, Inf. Softw. Technol..

[8]  Lorraine Carter,et al.  How to Conduct Surveys: A Step-by-Step Guide , 2010 .

[9]  J. Iivari Why are CASE tools tools not used , 1996 .

[10]  Juhani Iivari,et al.  Why are CASE tools not used? , 1996, CACM.

[11]  Terry L King A Guide to Chi-Squared Testing , 1997 .

[12]  Jing Zhang,et al.  Going Beyond Open Data: Challenges and Motivations for Smart Disclosure in Ethical Consumption , 2014, J. Theor. Appl. Electron. Commer. Res..

[13]  Richard Heeks,et al.  The multiple meanings of open government data: Understanding different stakeholders and their perspectives , 2015, Gov. Inf. Q..

[14]  M. Cowles,et al.  On the Origins of the . 05 Level of Statistical Significance , 2005 .

[15]  Fatemeh Ahmadi Zeleti,et al.  Exploring the economic value of open government data , 2016, Gov. Inf. Q..

[16]  R. Caplan,et al.  Open Data: A Twenty-First-Century Asset for Small and Medium-Sized Enterprises , 2015 .

[17]  D L Sackett,et al.  Why randomized controlled trials fail but needn't: 2. Failure to employ physiological statistics, or the only formula a clinician-trialist is ever likely to need (or understand!). , 2001, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne.

[18]  R. Plackett,et al.  Karl Pearson and the Chi-squared Test , 1983 .

[19]  Hannu Jaakkola,et al.  Open data: opportunities and challenges , 2014, CompSysTech.