From a business perspective, such a marketplace puts together data producers and data consumers to foster the delivery of cross-cutting solutions based on an open innovation model. The incentive for researchers and research organisations is twofold: they get the chance to accept who gets to use their own data and under what terms—an innovation leveraging distributed ledger technologies—and they get paid while sharing their data in a pay-per-access fashion.
From an economic perspective, the marketplace integrates tools for smart semantic discovery of relevant data, while promoting an Open Source culture where researchers do not need to pay for re-executing experiments if redundant. Thus, research funding has a chance to propel the advance of technology on the shoulders of already-existing findings.
Imagine a scientist producing state-of-the-art data-intensive (Big Data) experimental findings with significant global impact. Traditionally, she/he would publish a paper summarising the results. However, the datasets and tools behind this experiment are equally, if not more, important that the sole description of such results and the conclusions reached. One could argue about the importance of the use of an open access repository to share data to increase dataset reusability. However, there is not yet a clear open mechanism to trace how data is further used by others and, possibly, monetise their use.
Here lies the novelty of our project: we will nurture a traceable open innovation model by deploying public distributed ledgers for controlling access rights to data, with data models able to grant access according to policies completely kept under the control of the data owner/producer.
Funded by the European Commission as part of the Horizon2020 programme, the Action aimed to improve knowledge extraction from non-perfect and non-standard datasets via novel methods and tools in computing, statistics, machine learning, and mathematics. Simon Caton was the institutional representative to the Action's management committee.
ParaPhrase project produced parallel software that was easy to write using multicore hardware more effectively with the goal of speeding up processing by at least one order of magnitude over sequential execution on real near-term multicore architectures for the use cases and systems that will be considered in the project.
ParaPhrase built on a (multi-level) model of parallelism, where implementations of parallel programs are expressed in terms of interacting components. By expressing parallelism in terms of high-level parallel patterns that have alternative parallel implementations, we will be able to redeploy/refactor parallel components to dynamically match the available hardware resources. Horacio González-Vélez was the principal investigator at NCI.
TrainRDM aims to empower the education and skills dimension of Open Science and Open Data through exploring innovative mechanisms and tools.
Funder: EC Erasmus+
SPuMoNI will design data quality assessment models that account for industry regulations, and analyze data behavior patterns over time to identify outliers, i.e.; data that violates compliance. This semi-autonomous data quality control decision support system will more efficiently ensure best pharmaceutical manufacturing practice.
The project is led by Adriana Chis who jointly presented SPuMoNI at the CHIST-ERA Projects Seminar with Horacio González-Vélez, which took place in Bucharest this April 2019 as part of the EU Presidency 2019 activities. CHIST-ERA is a programme for European Coordinated Research on Long-term Information and Communication Sciences and Technologies, supported by the EU’s Horizon 2020 Future and Emerging Technologies programme. In Ireland, CHIST-ERA is managed by the Irish Research Council.
Funded by the EU under the AAL initiative, vINCI is developing an integrated and validated evidence-based IoT framework to deliver non-intrusive monitoring and support for older adults to augment professional health care giving. It integrates proven open-data analytics with innovative user-driven IoT devices in four standardized kits. Horacio González-Vélez serves as honorary scientific advisor. vINCI aims to assist caregivers and provide smart care for older adults at out-patients clinics and outdoors.
Open Science opens up new ways in which research/education/innovation are undertaken, archived and curated, and disseminated across the globe. Open Science is about greater efficiency and productivity, more transparency, and a better response to interdisciplinary research needs.
Open Science (OS) requires a cultural change in academic institutions, including the acquisition of new knowledge and skills in fields like open access publishing and research data sharing.
Open Science and Research Data Management Innovative and Distributed Training Programme aims to empower the Education and Skills dimension of Open Science through exploring innovative mechanisms and tools to provide the skills training and Research Data Management (RDM) good practices.