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Library Systems and eInfrastructures: Design and Usability of a Data License Repository (Bachelor)

Type: 
Bachelor
Supervisor: 

The thesis work will contribute to Data Licenses Clearance Center - DALICC project: https://dalicc.net

Specifically, the thesis will address the design, development and usability of the License Repository. The thesis will include and will be basing on the overview of the state of the art in library systems, data and content repositories and eInfrastructures that engage end-users, and systems allowing creation of complex user-generated content. Especially, usability criteria of such systems, and/or models for data and content markets will be developed.

 

About DALICC project: The creation of derivative data works, i.e. for purposes like content creation, service delivery or process automation, is often accompanied by legal uncertainty about usage rights and high costs in the clearance of licensing issues. The DALICC project aims to develop a software framework that supports the automated clearance of rights issues in the creation of derivative data works. In essence, DALICC helps to determine which information can be shared with whom to what extent under which conditions, thus lowering the costs of rights clearance and stimulating the data economy.

 

The linked data empowered data repository for storing the structured semantic license data is set up. The data access is provided via appropriate interfaces using e.g. REST/Web Service access, SPARQL endpoint (for semantic data), etc. End user services are also able to query data through their mobile and tablet devices. The repository is to serve to anybody who wants to address checking of the licenses’ specifics and their compatibility, using external reasoning engines or license design tools.

The thesis work will focus on improvement of the repository, license reasoning process presentation to the user, and the system's uptake by the masses.

 

References

Ermilov, I., & Pellegrini, T. (2015, September). Data licensing on the cloud: empirical insights and implications for linked data. In Proceedings of the 11th International Conference on Semantic Systems (pp. 153-156). ACM.

 

Steyskal, S., & Polleres, A. (2014, September). Defining expressive access policies for linked data using the ODRL ontology 2.0. In Proceedings of the 10th International Conference on Semantic Systems (pp. 20-23). ACM.

 

Zhdanova, A. V., Zeiß, J., Dantcheva, A., Gabner, R., & Bessler, S. (2009). A semantic policy management environment for end-users and its empirical study. In Networked Knowledge-Networked Media (pp. 249-267). Springer Berlin Heidelberg.

 

Datahub, data repository: https://datahub.io

LOV, Linked Open Vocabularies: http://lov.okfn.org