VITACOV: Vitamin D Polymorphisms and Severity of COVID-19 Infection
(2020 - 2021)
Vitamin D deficiency has been linked to hypertension, autoimmune, infectious and cardiovascular diseases which are risk factors for COVID-19. Moreover, COVID-19 patients have a very high prevalence of hypovitaminosis D (Turin data). Taken together, we aim to investigate whether genetic variants in vitamin D-related genes contribute to a poor COVID-19 outcome, particularly in hypertension and CV patients, proposing thus a personalized therapeutics based on vitamin D supplementation in order to reduce the severity and deaths.
(2015 - 2016)
ELIXIR links the national bioinformatics services into a European infrastructure for life-sciences data. Excelerate is a H2020-funded project with the aim of implementing this infrastructure and supporting the initial operations of the ELIXIR network.
(2015 - 2016)
INESC-ID and key partners are conducting DataStorm, an initiative for developing a critical mass of scientists and engineers for addressing the design, implementation and operation of the new wave of large-scale data-intensive software systems. These systems will collect and integrate data from heterogenous sources, public and proprietary, from which large and complex graphs can be derived. These graphs can then be mined for patterns, from which models, predictions and various forms of knowledge can then be inferred.
Benchmark DP - Systematic approach to assess and compare digital preservation processes, systems, and organizational capabilities
(2012 - 2015)
Benchmark DP will advance the fundamental understanding of and capacity for digital longevity in ICT by creating theoretical frameworks and quantitative benchmarks on three interlinked dimensions: content, systems and processes, and life cycle. By providing the first systematic, quantified approach to measuring, controlling and improving DP processes and organisational capabilities, Benchmark DP will enhance the ability of organisations to control and improve processes for information management and IS design to achieve desired levels of longevity.
TIMBUS - Digital Preservation for Timeless Business Processes and Services
(2011 - 2014)
The EU co-funded TIMBUS project focuses on resilient business processes. It will make the execution context, within which data is processed, analysed, transformed and rendered, accessible over long periods. Furthermore, continued accessibility is often considered as a set of activities carried out in the isolation of a single domain. TIMBUS, however, considers the dependencies on third-party services, information and capabilities that will be necessary to validate digital information in a future usage context.
SHAMAN - Sustaining Heritage Access through Multivalent Archiving
(2007 - 2011)
The SHAMAN Project addresses the need of Digital Preservation from the information life-cycle management perspective, for maintaining the information accessible beyond the bounds of the media technological change, while ensuring authenticity and integrity during all information and object lifecycle. As prosperity for future generations is linked to keeping value of today’s digital assets by granting proper access to digital content in the future, Digital Preservation has been seen in SHAMAN Project as communication with the future.
Selected publications:
Antunes, G., Barateiro, J., Becker, C., Borbinha, J., Proença, D., Vieira, R. 2012. Shaman Reference Architecture, Version 3.0. SHAMAN Consortium. download
GRITO - A Grid for Preservation
The goal of GRITO is to build a novel, application-driven data grid infrastructure for digital preservation. Our data grid design must ensure that data is preserved across catastrophic failures. To achieve this goal, we must ensure high levels of diversity among the replicas of data objects (e.g., the machines where replicas reside must be maintained by different administrators to avoid common vulnerabilities due to configuration errors). We intend to achieve such diversity at a low cost by integrating EXTENDED grid nodes that leverage spare resources from existing grid clusters and EXCLUSIVE grid nodes running middleware dedicated to the preservation system. To this end we will use existing grid infrastructures of project partners in the first phase, but we plan to expand to other grid clusters. Finally, since this infrastructure must coexist in grids that run other tasks, we will address also the requirements for this coexistence.