Ronald Meijer

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For public organizations data integration and sharing are important in delivering better services. However, when sensitive data are integrated and shared, privacy protection and information security become key issues. This means that information systems must be secured and that access to sensitive data must be controlled. In this paper, a framework is(More)
The opening of data is considered to provide many benefits. However, opening up data by public bodies is a complex and ill-understood activity. Although many public bodies might be willing to open up their data, they lack any systematic guidance. In this paper, guidance is provided by investigating the publishing processes at the Dutch Research and(More)
BACKGROUND Multiple aspects of gait are typically impaired post-stroke. Asymmetric gait is common as a consequence of unilateral brain lesions. The relationship between the resulting asymmetric gait and impairments in the ability to properly coordinate the reciprocal stepping activation of the legs is not clear. The objective of this exploratory study is to(More)
While Open Data initiatives are diverse, they aim to create and contribute to public value. Yet several potential contradictions exist between public values, such as trust, transparency, privacy, and security, and Open Data policies. To bridge these contradictions, we present the notion of precommitment as a restriction of one's choices. Conceptualized as a(More)
Information sharing has become a means of gaining public trust for institutions such as governmental and scientific organizations. The transparency sought through information sharing contributes to the trust of various stakeholders such as citizens, other organizations and enterprises in such institutions. Information sharing, on the other hand, may(More)
Sharing data is gaining importance in recent years due to proliferation of social media and a growing tendency of governments to gain citizens' trust through being transparent. Data dissemination, however, increases chance of compromising privacy sensitive data, which undermines trust of data subjects (e.g., users and citizens). Data disseminators are(More)
In this paper, two methods have been compared to estimate the number of problem drug users (PDU): the treatment multiplier (TM) method and the capture-recapture(CRC) method using national police register data and data from probation services and treatment institutes for addiction. This paper introduces the CRC method as a more practical alternative to the(More)