Using SPEM to Analyze Open Data Publication Methods
Open Data is a current trend in sharing data on the Web. Public sector bodies maintain large amounts of data that, if re-used, could be a source of significant benefits. Therefore Open Government Data initiatives have been launched in many countries in or
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Abstract. Open Data is a current trend in sharing data on the Web. Public sector bodies maintain large amounts of data that, if re-used, could be a source of significant benefits. Therefore Open Government Data initiatives have been launched in many countries in order to increase availability of openly licensed and machine-readable government data. Because Open Data publishers face various challenges, methods for publication of Open Data are emerging. However these methods differ in focus, scope and structure which might complicate selection of a method that would suit specific needs of an organization. In this paper we discuss the possible benefits of constructing Open Data publication methods from a meta-model and we use the Software and Systems Process Engineering Meta-Model version 2.0 to analyze similarities and differences in structure of three Open Data publication methods. Keywords: Analysis Method Open Data Open Government Data Software and Systems Process Engineering Meta-Model SPEM
1 Introduction Open Data is data “that can be freely used, re-used and redistributed by anyone – subject only, at most, to the requirement to attribute and sharealike” [22]. Further details on what “open” means are provided by the Open Definition [21]. Legal and technical openness are the key aspects of ensuring reusability of data [19]. Legal openness is achieved by open licensing of data, i.e. by making data available under a license that permits its free re-use and redistribution. In order to minimize the technical obstacles Open Data should be made available for free download as a complete dataset in a machine-readable format. Re-use of data held by public sector bodies could be a source of social and economic value [1]. Despite the fact that a number of countries have already launched their Open Government Data initiatives, many important datasets remain closed [30]. Publishing Open Government Data could be a challenging task and publishers often face various organizational, legal, technical and other barriers [11, 29]. In order to help the Open Data publishers to overcome the barriers and to promote the recommended practices for its publication various Open Data publication methods have been developed [23, 27, 28]. On one hand knowledge about how to open up data is being gathered, on the other hand this knowledge is documented in different methods and their heterogeneity might make integrating their content difficult. Zuiderwijk et al. © IFIP International Federation for Information Processing 2016 Published by Springer International Publishing AG 2016. All Rights Reserved A.M. Tjoa et al. (Eds.): CONFENIS 2016, LNBIP 268, pp. 48–58, 2016. DOI: 10.1007/978-3-319-49944-4_4
Using SPEM to Analyze Open Data Publication Methods
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[31] also point out that the Open Data publication process should be standardized across an organization. Such a standardization requires sharing the information about the Open Data publication process across the organization. In the software engineering domain practitioners are also struggl
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