Sunil Choenni

Bio: Sunil Choenni is an academic researcher from Rotterdam University of Applied Sciences. The author has contributed to research in topics: Open data & Information privacy. The author has an hindex of 18, co-authored 73 publications receiving 1366 citations. Previous affiliations of Sunil Choenni include National Aerospace Laboratories & University of Twente.

Socio-technical Impediments of Open Data

Abstract: There is an increasing demand for opening data provided by public and private organisations. Various organisations have already started to publish their data and potentially there are many benefits to gain. However, realising the intended positive effects and creating value from using open data on a large scale is easier said than done. Opening and using data encounters numerous impediments which can have both a socio and a technical nature. Yet, no overview of impediments is available from the perspective of the open data user. Socio‑technical impediments for the use of open data were identified based on a literature overview, four workshops and six interviews. An analysis of these 118 impediments shows that open data policies provide scant attention to the user perspective, whereas users are the ones generating value from open data. The impediments that the open data process currently encounters were analysed and categorized in ten categories: 1) availability and access, 2) find ability, 3) usability, 4) understand ability, 5) quality, 6) linking and combining data, 7) comparability and compatibility, 8) metadata, 9) interaction with the data provider, and 10) opening and uploading. The impediments found in literature differ from impediments that were found in empirical research. Our overview of impediments derived from both literature and empirical research is therefore more comprehensive than what was already available. The comprehensive overview of impediments can be used as a basis for improving the open data process, and can be extended in further research. This will result in the solving of some impediments and new impediments might rise over time.

Exploring process barriers to release public sector information in local government

Abstract: Due to expected benefits such as citizen participation and innovation, the release of Public Sector Information is getting increased attention on various levels of government. However, currently, data release by governments is still novel, with little experience and knowledge thus far about the benefits and barriers of release. This is compounded by a lack of understanding about how internal processes influence data release. Our aim in this paper is to get a better understanding of these processes and how they influence data release, i.e, to find determinants for the release of public sector information. For this purpose, we conducted workshops, interviews, questionnaires and desk research. We find that the way data is used by a department, the way data is obtained, how data is stored, and the suitability of data to become open, as crucial indicators for open data release. We conclude with lessons learned based on the research findings. These are that we should take a nuanced approach towards data release, avoid releasing data for it's own sake and take small incremental steps to explore data release.

Who will watch (over) me? Humane monitoring in dementia care

Abstract: The ageing population as well as the tight labor market put pressure on future health care. In this article, we explore the role of monitoring systems in small-scale housing for older people with dementia. By incorporating principles of value-sensitive design in a human centered design process we developed a system for remote monitoring at night in dementia care. The performance of the working system was evaluated in the real-life context of a nursing home and is currently being implemented in small-scale housing. Next to reporting the iterative design and evaluation of the monitoring system, we reflect upon the approach taken.

Index selection in relational databases

Abstract: Intending to develop a tool which aims to support the physical design of relational databases can not be done without considering the problem of index selection. Generally the problem is split into a primary and secondary index selection problem and the selection is done per table. Whereas much attention has been paid on the selection of secondary indices relatively less is known about the selection of a primary index and the relation between them. These are exactly the topics of this paper. >

Pattern Recognition and Machine Learning

Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Multiple Imputation for Nonresponse in Surveys

Abstract: 25. Multiple Imputation for Nonresponse in Surveys. By D. B. Rubin. ISBN 0 471 08705 X. Wiley, Chichester, 1987. 258 pp. £30.25.

Some Preliminary Comments on the DIRECTIVE 95/46/EC OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data.

Abstract: (1) Whereas the objectives of the Community, as laid down in the Treaty, as amended by the Treaty on European Union, include creating an ever closer union among the peoples of Europe, fostering closer relations between the States belonging to the Community, ensuring economic and social progress by common action to eliminate the barriers which divide Europe, encouraging the constant improvement of the living conditions of its peoples, preserving and strengthening peace and liberty and promoting democracy on the basis of the fundamental rights recognized in the constitution and laws of the Member States and in the European Convention for the Protection of Human Rights and Fundamental Freedoms;