Bird & Bird extensive analysis on EU legal framework
In the framework of the TOREADOR Project, Bird & Bird has made an extensive analysis of the EU legal framework related to data ownership in Deliverable D16.2. This work not only fits within the TOREADOR Project but also in the wider context of the European Commission’s strategy towards data. The latter recently published a Communication on “Building a European Data Economy” where it notably suggests that Europe is not tapping into the potential of data for business, research and innovation purposes.
The results of Bird & Bird’s research are aimed at the partners of the Project, but also strive to provide additional evidence to policymakers on the emerging issues of data ownership. For the latter purpose, they presented the results of their research in a White Paper, which notably includes a proposal for a new right in data
Ernesto Damiani @ 13th Extended Semantic Web Conference (ESWC)
Ernesto Damiani gave a keynote on “Controlling Leakage and Disclosure Risk in Semantic Big Data pipelines” at the Ernesto Damiani @ 13th Extended Semantic Web Conference (ESWC), Heraklion.
In many Big Data environments, information is made available as huge data streams, collected and analyzed at different locations, asynchronously and under the responsibility of different authorities. It has become common for data analysts to have a mandate for computing Big Data analytics without holding the rights to access the individual data points in the input, as they may contain sensitive information or personal data protected by privacy regulations. This talk discusses the idea that techniques used for semantic enrichment of Big Data (such as semantic lifting to harmonize metadata representation across data collection points and pre-joins at data ingestion time to avoid computing semantic joins on Big Data storage) can be seen as non-linear leakage and privacy risk boosters. Intuition suggests that semantic techniques applied to Big Data representation may have a double impact on security risks: (1) increase leakage risk by increasing the value for the attacker per unit of information leaked (2) increase intrusion risk, making injection attacks (i.e. attacks aimed at poisoning data for subverting the outcome of analytics) more effective per unit of poisoned information injected . However, no clear methodology is currently available for quantifying the impact of these boosters.
The full video is available here.
Big data – bigger contracts?
Companies and organisations in Europe are increasingly becoming aware of the potential competitive advantages timely and accurate big data analytics has to offer. However, when considering to avail of big data analytics, or more generally to get involved in the data economy, one needs to identify the various actors implicated in the collecting, processing, managing and analysing of the data, as well as the different types of data concerned.
This article aims to provide a general overview of those various possible actors involved in big data analytics. It by no means pretends to give a full picture of the complex and evolving data ecosystem, which in general involves many (different types of) actors as well as a myriad of goods, services, technologies and business models.
Full version (link: http://www.twobirds.com/en/news/articles/2016/global/big-data-bigger-contracts)
BIG DATA, SMALL PROBLEM. IS THE ANTITRUST TOOLKIT COMPATIBLE FOR DATA?
Debate is rife over the role that competition law could or should play in the world of data. Opinions from authorities, lawyers and economists go in many different directions. There are no competition law rules which deal specifically with the handling of data.
EU Commissioner Margarethe Vestager recently weighed in on the role of Big Data in the field of competition law. During a speech held at the Digital Life Design conference in January 2016, she stated that she was aware of the growing relevance of data in competition law, but that, while keeping a close eye on Big Data, the Commission has not found a competition problem yet. The Commissioner, however, did not exclude the possibility that problems may arise in the future.
The main questions under consideration are what role data can play in competitive analysis and whether or not European legislation should be developed. If indeed legislation is required, should this entail amendments of existing competition laws, or the creation of sector-specific regulation for online/data-rich sectors?
Full version (link: http://www twobirds.com/en/news/articles/2016/global/big-data-small-problem)
General Meeting #3 in Madrid
The TOREADOR General Meeting #3 was held in Madrid on the 7th and 8th of July 2016. About 30 participants from all over Europe met at ATOS office.
Developing Machine Learning Technology
Many local companies are developing machine learning technology, and the region is home to some of the biggest companies who could benefit, including Amazon and Microsoft.
Project has started
The TOREADOR project has started!