Simona Rabinovici-Cohen

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<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)
The emergence of the cloud storage as infrastructure for serving large amounts of data over the WAN suggests new storage/compute paradigms. We propose expanding the cloud storage from only storing data to directly producing value from the data by executing computational modules storlets close to where the data is stored. This paper describes the Storlet(More)
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)
ion levels to existing OSD commands. In PDS, both OSD and its HL API are executed in a separate process from the upper layers. The XAM layer communicates with the HL-OSD interface via RPC. XAM session execution model A XAM storage system contains one or more XSystems, where each XSystem is a logical container of XSet records. An XSet, the basic artifact in(More)
A. Shabo S. Rabinovici-Cohen P. Vortman 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(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)
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)
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)
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 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)