Coordination of open data development in Croatia case study of Environmental Pollution Registry

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PREFACE. Introduction

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Coordination of open data development in Croatia case study of Environmental Pollution Registry Neven Vrček, Katarina Tomičić Pupek University of Zagreb, Faculty of Organization and Informatics, Pavlinska 2, Varaždin, Croatia neven.vrcek@foi.hr; ktomicic@foi.hr Abstract: The article presents one case of collecting and distribution of open ecological data and internal structure of business processes responsible for their gathering and maintenance. This is elaborated by using BPMN paradigm which presents open data lifecycle from organizational point of view. By such approach potential users and stakeholders gain insight into procedures that gather and deliver open data which gives them opportunity to verify data consistency and influence policy making. The case study presents environmental pollution register and its business process structure. Keywords: open data lifecycle, business process modelling Introduction Systematical and coordinated development of public administration s on-line services in Croatia started in 2003 with the beginning of main program e-croatia 2007 which started in year 2003. Although certain elements and services (like some parts of legislation and infrastructural elements) existed before, this program meant big leap forward because it coordinated efforts of different agencies into coherent framework. From many programs and projects which were implemented at that time we can specify six main axis of development: secure network infrastructure (HITRONET), e-administration, e-justice, e-health, e-education and e-business. Presently in Croatia there are significant number of on-line services at various stages of development that interact with citizens and legal entities. Majority of them were coordinated by Central State Office for e-croatia which is now part of Ministry of Public Administration but it is worth mentioning that there are also e-services that were developed and exists outside this framework. Previously, Central state office for e-croatia and nowadays Ministry of Public Administration (MPA) deals with governing and expertise related to development of information systems for government bodies and also coordinates integration of these information systems into a coherent network. MPA also deals with development of legal framework for electronic delivery of public services. In recent years MPA is, together with Commissioner for rights of access to information, responsible for development and implementation of open data initiative. All these projects left quite substantial number of data in various databases and presently there is ongoing project with aim to make them available to the public in unified manner via common portal. Some of the open databases are listed in Table I. Table I. Examples of open data in Croatia. Ministry Ministry of Economy Ministry of Social Policy and Youth Ministry of Regional Development and EU Funds Database name The register of foreign missions in Croatia The register of renewable energy Address book of social welfare institutions Map of projects Development index The list of priority for housing 1

Ministry of Foreign and European Affairs Ministry of Justice Ministry of Entrepreneurship and Crafts Ministry of Labour and Pension System Ministry of Maritime Affairs, Transport and Infrastructure Ministry of Agriculture Ministry of Tourism Ministry of Environment and Nature Protection Ministry of Construction and Spatial Planning Ministry of Health Catalogue of publications Overview of visa requirements Translations of Croatian legislation Translations of the EU acquis Court register of companies Register of associations E-excerpt from the land registry Register of political parties Register of associations Register of foreign associations Foundation books List of legal entities of the Catholic Church in Croatia Data of religious communities in Croatia Registry of councils, coordination councils and representatives of national minorities Register of representative offices of foreign foundations and trusts Data of government subsidies Craft register List of employment brokers List of employment agencies for occasional work List of high schools with permits for mediation for occasional work The register of road carriers Timetables of flights and sailing Phytosanitary Information System Veterinary Information System TISUP Central Register of categorized objects (tourism, hospitality, renters) National database on sea bathing water quality National network for monitoring air quality Protected natural resources and cultural heritage Approval for construction activities The register of persons authorized for energy audits and energy certification of buildings Holders of a training program for persons who perform energy audits and energy certification of buildings The list of editors List of authorized legal entities for validation of construction projects List of companies holding granted consent for the performance of professional activities of spatial planning The records of persons authorized to issue certificates of factory production control of construction products The records of persons authorized to perform the conformity assessment of construction products Records of persons engaged in construction project management Waiting lists Register of public procurement contracts Contents for employment Health facilities in Croatia Ministry of Science, Education and Sports Registers and lists (e.g. kindergartens, primary schools, higher education,...) Ministry of Culture Legislation in the field of the activities of Ministry Register of cultural heritage GIS Application of cultural assets of Croatia Web search engine for cultural assets of Croatia The register of libraries The register of theaters Catalogue of the library of the Ministry of Culture The number of open databases keeps rising but the procedures and formats of these data still require substantial level of coordination and elaboration. This is necessary in order to increase confidence in these data and influence the demand side to actively participate in their reuse. This can be done by set of complementary measures but the most important are correct 2

procedures of data gathering, maintenance, versioning, and provision. This cannot be done relying only on technical solutions or simple regulatory documents but business processes should be established in such manner that they are also entirely open and aligned with open data lifecycle. The fact is that quality of data significantly influences demand side which is still in evolving phase. Public administration should provide sufficient guaranties that data will be provided with adequate quality on timely basis (Brin, 1998) (OECD ECONOMIC SURVEYS: BRAZIL, 2009) (Asgarkhani, 2005). Unfortunately majority of these data caries disclaimer which removes any responsibility from data owner which raises suspicion of possible users into accuracy and durability of exposed data. One possible approach to this problem is based on business process paradigm which enables through analysis of all possible scenarios opens insight into data lifecycle to possible users of data. Business process paradigm Business process paradigm is scientific and professional field which deals with modern organizations and their efficiency (Object Management Group, 2011) (Hoyer, 2008), (Peacoock & Tanniru, 2005). It is important for IS development because such approach emphasizes alignment between business processes and information technology. There are several disciplines covered by business process paradigm such as: modelling, simulation, execution, improvement, reengineering, measurement and management. The rise of Business Process Model and Notation (Object Management Group, 2011) contributed to wide usage and spreading of business process paradigm. This standard is also important for development of new generation of software systems such as service oriented architectures because they rely on direct mapping of business processes to composition of orchestrated services which is significantly different from traditional software development/engineering approach (Avison & Shah, 1997) (Erl & Booch., 2009). Environmental Pollution Register The example elaborated in this paper is related to Croatian environment agency (CEA) and its contribution to open data initiative. CEA maintains Croatian National Portal of the Environmental Pollution Register. Ecology is increasingly important discipline which relies on analysis of large amount of data gathered through long time periods which enables discovery of hidden trends. The broad scope of possible usage scenarios generates major challenges for finding effective ways to discover, access, integrate, curate, and analyze the range and volume of relevant information. It is very important that ecology related data are open and available for various purposes. Unfortunately this is still not sufficiently implemented and some authors present indicators (Reichman, Jones, & Mark P., 2011) which show that less than 1% of the ecological data collected is accessible after publication of associated results and that rather than providing direct access to data, users share interpretations of distilled data through presentations and publications. Pollution register is collection of data about sources, types, quantities and places of deposition of contaminants in nature. The register is regulated by corresponding bylaw and every pollution should be registered in it. Beside technological platform which exposes register as web page (Croatian Environment Agency, 2010) it is possible to export the data and use it for further analysis (Picture 1). However, one of the important aspects built into this register is related to accuracy of data and the procedure of data gathering (Croatian Environment Agency, 2010). The idea is to coordinate large number of subjects and 3

sensors and maintain accuracy of data. The register should transform heterogeneous input data into coherent output ready for reuse. Picture 1. Screenshot of Environmental Pollution Register. The process of data collection and maintenance is described by BPMN diagram on Picture 2. Diagram has three global parts: Data collection, Data Submission and Data usage. This business process pool distribution is aligned with general open data workflow as elaborated in related literature (Reichman, Jones, & Mark P., 2011). Each of these business process pools is under responsibility of different actors which increases the importance of alignment and coordination among activities. That is why business process modelling is important tool for analysis of procedures responsible for open data delivery and maintenance. Analysis of business process model shows that there are quite substantial number of synchronizing events which helps in management of register. Data consumers can analyze internal procedures, verify data consistency and influence policy making procedure. 4

Figure 2. BPMN model of Environmental Pollution Register. 5

Conclusion Opening internal data imposes additional responsibilities for public sector entities because it reveals errors and inconsistencies in administrative procedures. That is why technical solutions should be accompanied by correct gathering, distribution and maintenance processes also open for public insight. Additionally the complexity of modern public services which rely on interoperability require through analysis of business processes taking place at different actors and simple descriptions are not always sufficient. Process visualization can be done by various techniques but one of the most viable is based on business process modelling and execution methodologies and related standards. That way entire open data lifecycle can be completely aligned with administrative procedures and corresponding information system. References Asgarkhani, M. (2005). Digital government and Public Management Reform. Public Management Review, 7(3), 465 487. doi:10.1080/14719030500181227 Avison, D., & Shah, H. (1997). The Information Systems Development Life Cycle,. London, United Kingdom: McGraw-Hill. Brin, D. (1998). The Transparent Society. Reading: Perseus. Croatian Environment Agency. (2010). Pollution Register. Accesed 29. March 2014 iz http://roo-preglednik.azo.hr/ Croatian Environment Agency. (2010). Regulation on Pollution Registry. Available on http://www.azo.hr/pravilnikoroo Erl, T., & Booch., G. (2009). SOA Design Patterns. Boston, Massachusetts: Person Education. Hoyer, V. (2008). Modelling Collaborative e.business Processes in SME Environments. Journal of Information Science and Technology, 5, 46-59. Object Management Group. (2011). Documents Associated with Business Process Model and Notation (BPMN) Version 2.0. Preuzeto 29. March 2014 iz http://www.omg.org/spec/bpmn/2.0/ OECD ECONOMIC SURVEYS: BRAZIL. (2009). MAKING GOVERNMENT OPERATIONS MORE COST-EFFECTIVE. Paris: OECD. Peacoock, E., & Tanniru, M. (2005). Activity Based Justification of IT Investments. Information & Management, 415-424. Reichman, O., Jones, M., & Mark P., S. (2011). Challenges and Opportunities of Open Data in Ecology. Science, 331(6018), 703-705. 6