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New Haven, CT, United States

Swamidass S.J.,University of Washington | Matlock M.,University of Washington | Rozenblit L.,Prometheus Research

Many scientific questions are best approached by sharing data-collected by different groups or across large collaborative networks-into a combined analysis. Unfortunately, some of the most interesting and powerful datasets-like health records, genetic data, and drug discovery data-cannot be freely shared because they contain sensitive information. In many situations, knowing if private datasets overlap determines if it is worthwhile to navigate the institutional, ethical, and legal barriers that govern access to sensitive, private data. We report the first method of publicly measuring the overlap between private datasets that is secure under a malicious model without relying on private protocols or message passing. This method uses a publicly shareable summary of a dataset's contents, its cryptoset, to estimate its overlap with other datasets. Cryptosets approach "information-theoretic" security, the strongest type of security possible in cryptography, which is not even crackable with infinite computing power. We empirically and theoretically assess both the accuracy of these estimates and the security of the approach, demonstrating that cryptosets are informative, with a stable accuracy, and secure. © 2015 Swamidass et al. Source

Agency: National Science Foundation | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 136.50K | Year: 2010

This Small Business Innovation Research (SBIR) Phase I project is to develop a product that enables automated access to any relational database via the web - a web-browser for non-technical users; XML/JSON/CSV for more technical users who wish to use the data in their own applications. The system will first intergotate and determine a database's contents and allow the owner to select access levels. Researchers can then interact with the data or share references to data sets with a URL. The key innovation is a systematic scheme for automatically mapping any relational database into a set of URLs. Successful completion of this project will liberate valuable data trapped in research systems for collaboration and analysis. While tools exist for web-enabling specific databases, most are designed for database administrators or developers. The Prometheus Internet Database Server will target non-technical users who need to focus on research instead of technical problems. Unlike existing solutions that are designed for specific products, Prometheus' system will be based on open source technology for use with data sources of unknown type and quality. As a result, researchers and the general public can utilize the Internet to access and disseminate disparate data that is currently stored in multiple databases - a task that cannot readily be accomplished by currently-available products.

Prometheus Research | Date: 2012-02-10

A method may include receiving a syntactic database query for retrieving information, where the syntactic database query may include two or more tokens. A subset of the two or more tokens may include a nested aggregation, and the nested aggregation may include at least (a) a first aggregate expression including a first aggregate function, a first base, and a first range, and (b) a second aggregate expression including a second aggregate function, a second base and a second range, where the second range includes the first aggregate expression. The method may further include parsing the two or more of tokens, where parsing includes identifying at least a first query context and a second query context.

Prometheus Research | Date: 2012-08-08

Computer Software for Database Management; Computer Software Platforms for Database Catalogue Library; Computer Software for Creating Searchable Databases of Information and Data.

Erben R.G.,University of Veterinary Medicine Vienna | Silva-Lima B.,University of Lisbon | Reischl I.,Austrian Medicines and Medical Devices Agency | Steinhoff G.,University of Rostock | And 7 more authors.
Tissue Engineering - Part A

The current White paper summarizes the discussions and exchange of experiences during the first European Interdisciplinary Summit on Cell-Based ATMPs held in Vienna, Austria, May 02-03, 2013. The meeting was supported by the Research Networking Programme REMEDIC (regenerative medicine) funded by the European Science Foundation and by the British Medical Research Council. To improve the competitiveness of Europe in the field of cell-based Advanced Medicinal Therapy Products (ATMPs), the following key issues were identified during the meeting: removal of national hurdles in the European Union, harmonization of national and subnational differences in Hospital Exemption rules, improved treatment algorithms for reimbursement, better knowledge on the mode of action, predictive preclinical efficacy and safety testing, need for innovative systems for preclinical testing, appropriate product characterization, manufacturing with cost of goods in mind, and appropriate design of clinical trials. © Copyright 2014, Mary Ann Liebert, Inc. Source

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