Obj 43 SME initiative on analytics¶

Brief¶

a) Integrated Open Data Incubator (one IP)
b) Easing transfer and take-up of language technologies (STREP)
c) Software components and intuitive end user applications based on reuse of open data (STREP)

Material presented¶

• Check here
• Call: FP7-ICT-2013-10 (Jan-2013)
• For IP, STREP: 26M, CSA 5M
• Technical background notes

Points to consider¶

Strep (15 M€)

• Consortium with at least 2 SMEs
• Max. 24 months runtime
• Max. EU funding: 1.500.000€
• At least 30% of the funding to be allocated to SMEs
• Part B max. 20 pages
• One-stage submission process

IP

• Part B max. 50 pages
• Max EU funding: 5 M€

(a) & (c)¶

Open Data Reuse: Large volumes of open data have been made available but the reuse of open data is not keeping pace with publication developments.

Impact

• Hundreds of applications, reusing billions of open data records, used by millions of end users around the EU
• Dozens of data application software components, used by hundreds of developers
• Wider creation of valuable applications by integrating available public data with the users' own data, including contextual information available from mobile devices

(a)¶

Recommendations

• Focus is on incubator role, not on research
• Hands-on support of SMEs: provision of data, integration support, testing environment,...
• The consortium will disburse the majority of the funds to fund mini-proposals submitted by SMEs

(c)¶

Development of software components supporting the whole life cycle of reuse of multilingual open data, particularly from public bodies.

Methodologies and tools for

• data publication
• linking
• assessing data demand
• cross platform development of data applications

with focus on

• usability
• sustainability
• responsiveness

Recommendations

• Point out the need for the envisioned components in the current open data reuse chain
• Develop intuitive tools that simplify the reuse of open data

Interesting presentations¶

GenomiT: Big bioinformatical data analysis for genomics-based personalized medicine
BBC: Sense-making tools for open data. To develop an innovative toolset for the detection, curation and narration of stories from large and live data sets such as social media streams and open government data.
Ontotext: Big Linked Data for Life Sciences

• All presentations
• All project Ideas