The thesis tried to understand how renowned open data initiatives work, and give an attempt to investigate the relations between actors in an open data ecosystem. This was with ambitions to understand managerial approaches open data initiatives have adopted, to develop an understanding of actions and relations; where, how and whom initiatives support and facilitate. This is understandably of concern as not all open data initiatives reach a point where they have managed to bring about valuable impacts. The underlying assumption here is that it is difficult to visualise where and how open data can be beneficial, as such governmental open data initiatives remain stagnant with a limited understanding of strategies to adopt. The method of approach has been semi-structured interviews with international governmental open data officials. The findings suggest that open data management remarkably consist of approaches that are user-orientated and aim for governmental data management capacities. These two measures combined can instigate greater interaction between data users and publishers, which subsequently uncovers degrees of uncertainty and aids in building an open and digital system. Furthermore, the initiatives focus heavily on building awareness and consequently demonstrating value. It is crucial for open data initiatives to build momentum in activities through informing, teaching and engaging data users and publishers. Their end target is to demonstrate value for both sharing and using data. Certain risk is still inherent in opening up data, with that it is recommended to start small and safe - to build on small projects, observe outcomes, and then take directions. / open data initiative; ecosystem; complex; uncertainty; stagnant; change management; simple order-generating rule
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-140622 |
| Date | January 2017 |
| Creators | Shehzad, Murtaza |
| Publisher | Umeå universitet, Institutionen för informatik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | Informatik Student Paper Master (INFSPM) ; SPM 2017.17 |
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