Simona Rabinovici-Cohen

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Clinical repositories containing large amounts of biological, clinical, and administrative data are increasingly becoming available as health care systems integrate patient information for research and utilization objectives. To investigate the potential value of searching these databases for novel insights, we applied a new data mining approach,(More)
<i>Digital Preservation</i> deals with ensuring that digital data stored today can be read <i>and interpreted</i> tens or hundreds of years from now. At the heart of any solution to the preservation problem lies a storage component. This paper characterizes the requirements for such a component, defines its desirable properties and presents the need for(More)
ABSlRACT We argue that the appropriate parallelization strategy for logic-program evaluation depends on the program being evaluated. Therefore, ~s paper is concerned with the issues of program-classification, and parallelization-strategies. We propose five parallelization strategies that differ based on the following criteria. Their evaluation cost, the(More)
The use of Extensible Markup Language (XML) to implement data sharing and semantic interoperability in healthcare and life sciences has become ubiquitous in recent years. Because in many areas there was no preexisting data format, XML has been readily embraced and is having a great impact. Biomedical data is very heterogeneous, varying from administrative(More)
The volumes of digital infonnation are growing continuously and most of today's information is "born digital". Alongside this trend, business, scientific, artistic and cultural needs require much of this information to be kept for decades, centuries or longer. The convergence of these two trends implies the need for storage systems that support very long(More)
As the world becomes digital, we are in ever greater danger of losing business, scientific, artistic, cultural, and personal assets. The threat of such a digital dark age stems from the fact that— unlike physical records that may survive decades, centuries, or even longer without advanced planning—digital records will not survive without planning and(More)
A growing amount of digital objects is designated for long term preservation-a time scale during which technologies, formats and communities are very likely to change. Specialized approaches, models and technologies are needed to guarantee the long-term understandability of the preserved data. Maintaining the authenticity (trustworthiness) and provenance(More)
Many organizations are now required to preserve and maintain access to large volumes of digital content for dozens of years. There is a need for preservation systems and processes to support such long-term retention requirements and enable the usability of those digital objects in the distant future, regardless of changes in technologies and designated(More)
— The emergence of the cloud and advanced object-based storage services provides opportunities to support novel models for long term preservation of digital assets. Among the benefits of this approach is leveraging the cloud's inherent scalability and redundancy to dynamically adapt to evolving needs of digital preservation. PDS Cloud is an OAIS-based(More)
The increase in large biomedical data objects stored in long term archives that continuously need to be processed and analyzed requires new storage paradigms. We propose expanding the storage system from only storing biomedical data to directly producing value from the data by executing computational modules-storlets-close to where the data is stored. This(More)