Using Open Data to Support Organizational Capabilities in Dynamic Business Contexts
International Conference on Advanced Information Systems Engineering CAiSE 2018: Advanced Information Systems Engineering Workshops 2018
Jelena Zdravkovic, Jānis Kampars, Jānis Stirna

In essence, Open Data (OD) is the information available in a machine-readable format and without restrictions on the permissions for using or distributing it. Open Data may include textual artifacts, or non-textual, such as images, maps, scientific formulas, and other. The data can be publicized and maintained by different entities, both public and private. The data are often federated, meaning that various data sources are aggregated in data sets at a single “online” location. Despite its power to distribute free knowledge, OD initiatives face some important challenges related to its growth. In this paper, we consider one of them, namely, the business and technical concerns of OD clients that would make them able to utilize Open Data in their enterprise information systems and thus benefit in terms of improvements of their service and products in continuous and sustainable ways. Formally, we describe these concerns by means of high-level requirements and guidelines for development and run-time monitoring of IT-supported business capabilities, which should be able to consume Open Data, as well as able to adjust when the data updates based on a situational change. We illustrated our theoretical proposal by applying it on the service concerning regional roads maintenance in Latvia.


Atslēgas vārdi
Capability | CDD | Context | Open Data | Requirements
DOI
10.1007/978-3-319-92898-2_3
Hipersaite
https://link.springer.com/chapter/10.1007%2F978-3-319-92898-2_3

Zdravkovic, J., Kampars, J., Stirna, J. Using Open Data to Support Organizational Capabilities in Dynamic Business Contexts. No: International Conference on Advanced Information Systems Engineering CAiSE 2018: Advanced Information Systems Engineering Workshops, Igaunija, Tallina, 11.-15. jūnijs, 2018. Chem: Springer International Publishing, 2018, 28.-39.lpp. ISBN 9783319928975. ISSN 1865-1348. Pieejams: doi:10.1007/978-3-319-92898-2_3

Publikācijas valoda
English (en)
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