Data standardization

With data rapidly becoming the lifeblood of the global economy, the ability to improve its use significantly affects both social and private welfare. Data standardization is key to facilitating and improving the use of data when data portability and interoperability are needed. Absent data standardization, a “Tower of Babel” of different databases may be created, limiting synergetic knowledge production. Based on interviews with data scientists, this Article identifies three main technological obstacles to data portability and interoperability: metadata uncertainties, data transfer obstacles, and missing data. It then explains how data standardization can remove at least some of these obstacles and lead to smoother data flows and better machine learning. The Article then identifies and analyzes additional effects of data standardization. As shown, data standardization has the potential to support a competitive and distributed data collection ecosystem and lead to easier policing in cases where rights are infringed or unjustified harms are created by data-fed algorithms. At the same time, increasing the scale and scope of data analysis can create negative externalities in the form of better profiling, increased harms to privacy, and cybersecurity harms. Standardization also has implications for investment and innovation, especially if lock-in to an inefficient standard occurs. The Article then explores whether market-led standardization initiatives can be relied upon to increase welfare, and the role governmental-facilitated data standardization should play, if at all

Jurisdiction and cloud computing: Further challenges to Internet jurisdiction

Copyright © 2013 Kluwer Law InternationalThe importance of this timely research can also be evidenced by the recent European Commission Decision of 18.06.2013 on setting up the Commission Expert Group on Cloud Computing Contracts ((2013/C 174/04)

Mapping web personal learning environments

A recent trend in web development is to build platforms which are carefully designed to host a plurality of software components (sometimes called widgets or plugins) which can be organized or combined (mashed-up) at user's convenience to create personalized environments. The same holds true for the web development of educational applications. The degree of personalization can depend on the role of users such as in traditional virtual learning environment, where the components are chosen by a teacher in the context of a course. Or, it can be more opened as in a so-called personalized learning environment (PLE). It now exists a wide array of available web platforms exhibiting different functionalities but all built on the same concept of aggregating components together to support different tasks and scenarios. There is now an overlap between the development of PLE and the more generic developments in web 2.0 applications such as social network sites. This article shows that 6 more or less independent dimensions allow to map the functionalities of these platforms: the screen dimensionmaps the visual integration, the data dimension maps the portability of data, the temporal dimension maps the coupling between participants, the social dimension maps the grouping of users, the activity dimension maps the structuring of end users–interactions with the environment, and the runtime dimensionmaps the flexibility in accessing the system from different end points. Finally these dimensions are used to compare 6 familiar Web platforms which could potentially be used in the construction of a PLE

Electronic Health Records: Interoperability Challenges Patients\u27 Right to Privacy

President George W. Bush\u27s administration has outlined initial necessary steps to transform the healthcare delivery system through adoption of interoperable electronic health records ( EHRs ) by the year 2014. This Article examines the nation\u27s shift toward the use of EHR technology, which largely facilitates patient care by providing clinicians with the ability to review a more complete medical record at the time of treatment. Current legislation calls for financial support and technical standards. However, lawmakers neglect to fully address the Health Insurance Portability and Accountability Act ( HIPAA ) and the need to expand its application and enforcement. In addition, healthcare provider Anti-Kickback and physician self-referral statutes may continue to deter electronic connectivity progress in healthcare, despite recently finalized safe harbor regulations. The Article concludes that while lawmakers have demonstrated strong support for the health information technology ( HIT ) initiatives, significant challenges remain to EHR adoption, including the lack of interoperability standards, financial obstacles, and privacy and security concerns