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Towards a BIG Data Public Private Partnership

 

On 20th March 2014, the the second day of the European Data Forum 2014 in Athens, together with our partner NESSI we co-organized a networking session: “Towards a BIG Data Public Private Partnership”.

 

 

Building an industrial community around Big Data in Europe is the priority of the BIG: Big Data Public Private Forum project. In this workshop we will present the work of the project including analysis of foundational Big Data research technologies, technology and strategy roadmaps to enable business to understand the potential of Big Data technologies, and the necessary collaboration and dissemination infrastructure to link technology suppliers, integrators and leading user organizations. BIG is working towards the definition and implementation of a clear strategy that tackles the necessary efforts in terms of Big Data research and innovation, while also providing a major boost for technology adoption and supporting actions for the successful implementation of the Big Data economy.

 

Contributions to the session:

 

After Session Chair Edward Curry from NUIG and BIG Project opened the session with a brief introduction it was Harald Schöning, Head of Research Software AG and Member of the NESSI Board, to talked about 
“A Big Data Value Innovation Ecosystem for Europe - a Business Perspective”. This was followed by a intervention by Nuria De Lama from Atos, NESSI and Big project introducing the process “Towards a Big Data Public Private Forum”.

 

After this Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate General for Communications Networks, Content and Technology officially announces the Consultation process of the European Public Private Partnership on Big Data and invites everyone to participate! The Consultation process will be launched in the next weeks at http://bigdatavalue.eu/index.php/news/55-public-consultation-on-the-big-... - stay tuned!

 

The session was continued with a presentation by Edward Curry, from NUIG and Big Project outlining “the Big Data Value Chain” and introducing the findings and white papers developed by the Big Project so far. Helen Lippell from Press Association and Big Project presented an overview on “Big Data Transformations of Sectors”.

 

The presentation were followed by a Questions & Answers session with extensive contributions from the audience. The session was also recorded, watch the video here.

post EDF2014 European Big Data Survey

Dear participants of the EDF 2014,
 
we would love to get your input with regards to Big Data in the European context. Your answers to this survey will be used as input for Horizon 2020 and will be sustained beyond this BIG_FP7 project duration.

Just 3 quick questions, at https://www.umfrageonline.com/s/9d19501

(an European survey tool with focus on privacy)

 

Thank you so much!

 

BIG Partner AGT International Forms Strategic Alliance with Cisco

AGT International, a global leader in city solutions, and Cisco, the worldwide leader in IT, have formed a “Smart City Global Strategic Alliance” that will deliver the promise of the Internet through edge analytics and cloud technologies that dramatically change the way cities are managed and safeguarded. In a joint press release, the companies explained how the two companies will work together: “Built around AGT's state-of-the-art urban management platform, the solution applies multiple sensing and analytical technologies such as video and acoustic analytics, social media engagement, license plate recognition, facial recognition, mobile crowd sourcing, mobile applications for city civil workers, smart waste and other sources. AGT's city fusion platform, powered by Cisco Unified Computing System™ technology, uses big data analysis to reduce false alerts while increasing incident detection rates. Sharing a common platform, infrastructure and management allows agencies to be more efficient and cost-effective, especially when coping with decreasing budgets. These benefits can all be achieved in a decentralized city administration model, where agencies' autonomy is maintained while sharing and reuse is maximized.

Further Information

AGT Press Release:

AGT Videos

AGT International Website

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Big Data Webinar: Data Storage, 30th January, 16:00 CET

Recording of the session see here.
We are pleased to announce the 4th installment of the Big Data Webinar series and invite you to actively participate and help shape Europe's Big Data Agenda.   
 
Martin Strohbach  will held the presentation and following QA.
 
Event page to participate is here.
Presentation is viewable here.
 
 
 
 
Data storage
Programs need to preserve the information in persistent data storage systems in order to avoid data loss. The most typical persistent system is the one of Relational database management systems (RDBMS). RDBMS have been the main and almost the unique solution to the storage paradigm for almost 40 years. However the ACID constraints, lack of flexibility with regard to schema changes and the performance and fault tolerance when data volumes and complexity grow make them unsuitable for Big Data scenarios. NoSQL technologies have been designed with the scalability goal in mind and present a wide range of solutions based on their data models. Cloud Storage appears as another alternative solution to store massive amount of data. Still many challenges are under analysis in the cloud environment, such as issues related to cloud interoperability, privacy and security which are tackled by the BIG project.

Data Curation Insights - Interview with James Cheney

The second interview of the Data Curation Insights-series is now available on our website.
Edward Curry, BIG-member and member of the Digital Enterprise Research Institute at the National University of Ireland, Galway (NUIG), arranged an interview with James Cheney, a Royal Society University Research Fellow at the laboratory for foundation of Computer Science at the University of Edinburgh.
After a few words about James career and his background at the University of Edinburgh, the interview gives some insights into James work and the role of big data (curation) for his institution.
James specifically talks about curation projects he and his colleagues interacted with, mainly in biomedical data and elborates on the uses and value of the curated data in those projects.
Edward Curry wanted to know about the processes and technologies which were involved in  James' data curation projects. The design of those processes and the performance of the technologies were of special interest to him.
 
During the Interview, James not only talks about the influence big data has on data curation but also explains the technical demand of curation and curation technologies in the big data context..
The last part of the interview is dedicated to James’ view on the influence of big data in future data curation and which data curation technologies will actually be able to cope with big data in the future.
You want to read the full Interview ? Visit our  website !!  
 
Interested in data curation news? Follow  Edward Curry @EdwardACurry on Twitter.
The next interview will be published soon! Don't miss it an follow us on twitter  @BIG_FP7 
 
 

Smart Ways To Deal With Big Data

BIG-project member Siemens recently published an article on smart ways to deal with big data.
The article was released shortly before the Christmas Holidays in the December edition of urbanDNA, a magazine for the metropolitan world.The article briefly introduces the BIG project, the work done in BIG and highlights smart ways of  urban applications of big data.
The article is available in the December Issue (No.3) of urbanDNA.
You find further information in big data and the BIG project on our website.

The BIG project at Big Data World Congress, Munich, 3-4 December 2013

The BIG project had a strong presence at BIG Data World Congress in Munich in early December. There was a strategically-positioned stand  in the exhibition hall. We met a number of delegates from many industrial sectors and countries, especially in the “speed dating” session where we perfected the BIG project’s elevator pitch in the quick-fire conversations! Project flyers and stickers were available in many places for people who wanted to learn about the project after the conference. The two day event was closed by a presentation from the BIG project’s director Josema Cavanillas, introducing the aims of the project and the outputs of our research.
 
The event featured case studies and panels on every aspect of Big Data technologies including governance, unstructured data, real-time analytics and much more. Attendees came from a wide range of organisations, including some big players in sectors such as manufacturing and telecoms. One exciting potential avenue of collaboration may be for BIG to work with the USA’s NIST (National Institute of Standards and Technology) as they are also developing cross-sector consensus requirements and roadmaps for Big Data.
 
Many speakers talked about how adopting Big Data could revolutionise the ways businesses operate, driving efficiency and faster product development. It is recognised by most if not all senior level executives as one of the key IT trends of the next few years - but this comes with the caveat that Big Data initiatives need to be aligned to clear outcomes and business processes in order to have a chance of success. The structure of organisations may need to be adapted to enable technical and business expertise to work together more closely to enable value to be derived from data. Even then, the pace of industry change may be such that organisations will look to form partnerships with start-ups and universities so as to drive innovation. The BIG project’s Public Private Forum could be a key enabler for these communities.
Europe-specific issues were highlighted in several talks. There was criticism of the apparent risk aversion of technology companies and their customers and the lack of a widespread start-up culture (apart from a few isolated exemplars). There are differences between Europe and the US in terms of data protection, the EU’s tougher legislation possibly being a barrier to innovation for some firms (on the other hand, the US’s relatively lax laws may have implications for privacy and the ethics of extensive data collection by businesses).
 

Big Data Webinar: Data Curation, 19h December, 16:00 CET

Recording of the session see here.
We are pleased to announce the 3rd installment of the Big Data Webinar series and invite you to actively participate and help shape Europe's Big Data Agenda.   
 
Ed Curry will held the presentation and following QA.
 
Event page to participate is here.
Presentation is viewable here.
 
 
 
 
Data curation 
Digital curation is the process of establishing and maintaining a trusted body of digital information within long term repositories for current and future use. Data curation, a subset of digital curation, is the active management and appraisal of data over its life-cycle of interest. Even though there are many activities associated to data curation, BIG specifically tackles the identification of artifacts and tools to support this process.

BIG at ICT 2013, November 7-9, Vilnius

ICT 2013 was held in Vilnius, Lithuania from November 7th to the 9th. Nearly 5,000 delegates attended in order to discover the latest innovations and trends in ICT, and to gather information about the European Commission’s priorities for its Horizon 2020 research programme. The conference was supplemented by an extensive exhibition and three unique “villages” showcasing cutting-edge local and international technology companies.
 
A common thread running through the event was the potential societal impact of a data-driven economy. This includes issues such as privacy, surveillance and data protection, as well as positive aspects like improving healthcare, empowering all groups of society and tackling climate change.
 
The EU Commissioner for the Digital Agenda, Neelie Kroes, gave a forceful keynote speech describing Big Data as a new “asset class”, as important a pillar of the economy as human resources or financial capital. The effect on productivity, public sector transparency, research and the environment could be transformative. Europe’s cultural and legislative advantages should be used to tackle challenges such as ICT education, the skills gap, barriers to market entry for SMEs and a lack of leadership in the technology sector.
 
A packed programme of Networking Sessions provided attendees with many opportunities to learn about applications for Big Data technologies. For example, genomic research being led by Valencia University depends on cloud infrastructures and scalable data mining tools to ensure that the right, not just more data is analysed. Other speakers showed how Big Data underpins the success of open data, drives new job creation and speeds up innovation.
 
The BIG project co-hosted a Networking Session with NESSI (a high-profile pan-European platform to promote innovation in software and services). The theme of the session was research into data value towards Horizon 2020. Data could be the driving force behind economic growth and European competitiveness globally, but work and collaboration are needed to fully understand the potential. Large companies such as Atos, Siemens, SAP and Thales are committed to a joint initiative for data value, recognising that industrial co-operation can drive progress. NESSI launched the Big Data Value Manifesto - a call to action for organisations to shape the future of Big Data.
 
Nuria de Lama from Atos highlighted the outputs of the BIG project, namely the sector requisites, technical white papers and a consolidated roadmap.

Big Data Webinar: Data Analysis, 5th December, 16:00 CET

Recording of the session see here.
We are pleased to announce the 2nd installment of the Big Data Webinar series and invite you to actively participate and help shape Europe's Big Data Agenda.   
 
John Domingue will held the presentation and following QA.
 
Event page to participate is here.
Presentation is viewable here.
 
 
 
 
Data analysis 
Data analysis refers to the activity of exploring, cleaning, transforming and modelling data with the goal of highlighting the relevant data, synthesizing and extracting useful hidden information3. Some related areas like data mining, business intelligence or machine learning appear as techniques for this purpose; however we focus on large-scale data analysis for which different techniques are needed: distributed computing, massive parallel processing, stream data processing, sentiment analysis or exploratory analytics are some of them. Successful implementation of those solutions will have to be accompanied by effective policies for backup, recovery and security, being aware of potential network limitations, solving realtime aspects in distributed environments, enhancing solutions that provide not only processing but also storage and fostering interoperability as much as possible.

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by Dr. Radut