Here are some examples of research projects that can help you in your daily life.
Big data offers solutions for improved efficiency in healthcare information processing which in turn creates value for businesses, public sector and citizens. The analysis of large clinical datasets can result in the optimisation of the clinical and cost effectiveness of new drugs and treatments and patients can benefit from more timely and appropriate care. Data interoperability is of utmost importance since the data is derived from diverse and heterogeneous sources such as bio-signal streams, health records, genomics and clinical lab tests. Privacy-preserving technologies aim at providing access to health data for patients, healthcare professionals and clinical researchers in a uniform way and in an anonymized and aggregated form to develop better prevention or treatment options.
Information technology has driven, directly or indirectly, much of Europe’s economic growth during the last decades as the role of data transitioned from the support of business decisions to becoming a good in itself. An open approach towards data value creation has become critical in the new networked economy, with Europe well placed to nurture this new revolution.
The core intention of the AutoMat project is to establish a novel and open ecosystem in the form of a cross-border Vehicle Big Data Marketplace that leverages currently unused information gathered from connected vehicles.
DataPitch is a business incubator that will support European entrepreneurs make business with industrial data. DataPitch aims at making the European data economy stronger and support innovation through digital transformation.
The transport sector can clearly benefit from big data collected through sensors, GPS data and social media in particular. A smart use of big data supports governments in optimising multimodal transport and managing traffic flows, making our cities smarter. Citizens and companies can save time through the use of route planning support systems.
The big data revolution brings about novel ways of understanding and addressing environmental challenges. A better use of globally available national and local datasets helps scientists in their research and enables policy-makers to make informed and evidence-based decisions related to natural disasters like flooding, to fight against climate change and reduce costs. Smart cities also host data centres adapting the power consumption of public buildings to the availability of renewable energy and other useful indicators. At the same time, our mobiles devices become smarter by integrating analytical tools to reduce our energy consumption and save money.
Open Data refers to the information collected, produced or paid for by the public bodies and made freely available for re-use for any purpose. Public sector information is information held by the public sector. The Directive on the re-use of public sector information provides a common legal framework for a European market for government-held data. It is built around the key pillars of the internal market: free flow of data, transparency and fair competition.
The "European Data Portal" has been set up by the Commission to improve accessibility and increase the value of Open Data published by European Public Administrations at all levels of government. See more: https://www.youtube.com/watch?v=2HPpSzKNbZo&feature=youtu.be
ODINE is helping companies developing their ideas of using open data at the core of their business by giving: expert advice from business mentors, peer networking and support, technology and data sets, high-quality coverage in the Guardian datablog, brokering introductions to business angels and VCs.The Open Data Incubator for Europe has funded 57 start-ups and SMEs, generating already more than €1m in additional investment, sales, and jobs.
To make sense out of the increasing amounts of available data, there is a growing demand for data scientists in Europe. This comparatively new profile combines expertise from various domains, e.g. programming skills, analytics skills and statistical expertise, as well as domain knowledge from application domains (e.g. health, agriculture or finance, to name just a few).
helps to develop the needed data skills, designs curricula for data science training and provides courses and training material like Massive Open Online Courses (MOOCs) for self-study in the EDSA Online Courses Portal.
Each of these centers alone can only cover a small part of the whole Big Data picture, but together their competences can define the data-driven Future of Europe. Some of the particular themes discussed were data skills and education needed for Europe's Digital Transformation. This is one of the hottest topics in the big data community. To know more about the Network’s activities, read on i-Know website.
A smart use of big data in agriculture can increase productivity, food security and farmer incomes at the same time. Through an intelligent and widespread use of data coming from sensors and Earth observations such as the open data from the Copernicus Programme the ways we are farming today can be changed entirely for the better. This can lead to a more efficient use of natural resources (including water or sunlight) in our farming practices. With advanced technologies farmers can have access to data in real time on how their farm machinery is working as well as to historic weather patterns, topography and crop performance.
Maximally exploiting available data is increasingly critical to industrial competitiveness. Accessing the relevant data is becoming progressively difficult due to the explosion in the size and complexity of data sets. Maximally exploiting data requires flexible access and engineers need to explore the data in ways not supported by current applications. Engineers spend up to 80% of their time on data access problems. Apart from the enormous direct cost, freeing up expert time would lead to even greater value creation through deeper analysis and improved decision making.
Optique brings a unique combination of technologies to bear on Big Data challenges. The project was extremely successful in bringing research results into commercial fruition.