Summary of related contents


The ESFRI roadmap expects “that an effective multidisciplinary or multidimensional analysis of the data from different sources (e.g. different scientific communities) can provide a better approach to complex phenomena” as it is expected in smart

manufacturing systems.


The MASRIA roadmap for smart production mentions that Big Data analysis will become a feature for analysis of such systems to mine data and to enable (real-time) decision support/making.


The SPIRE roadmap mentions that the analysis of data could mine data and knowledge with a high value.

Artemis [7]

The ARTEMIS strategic research agenda sees that the IoT and embedded systems/CPS world opens possibilities for big data

analysis as analytics of big data in order to enable real-time decision-making; provide knowledge from historical data; or other exploitation of results from big data applications. It sees also Big Data analytics as a brick to bring transformational changes to the economy, society, our knowledge of the world and, ultimately, the way people live.


SPARC sees that Big Data analysis provides access to broader data analysis, including comparative analysis. The analysis of Big Data produced, e.g. by robots, will become a challenge but this data could have in some cases intrinsic value, both, to the

organisations that own assets being inspected, and to external customers.

FOF [9]

FOF (Factory of the Future) sees in Big Data analysis an important topic for manufacturing systems: Real-time and predictive data analysis techniques to aggregate and process the massive amount of data captured by intelligent devices from the field, on-the-fly, to generate meaningful data.

Road2CPS [10]

Road2CPS provides recommendations and priorities for R&D topics in CPS. They see a big contribution of Big Data technologies in the manufacturing domain but also in others. This is caused by the digitalisation of infrastructures which will increase the data amount exponentially. The processing of such amounts of data will have an impact in many domains, “from preventing maintenance to optimisation of resource allocation covering multiple new services based on the data driven innovation”. [10]

sCorPiuS [11]

sCorPiuS is a European Roadmap for Cyber-Physical Systems in Manufacturing and sees opportunities for “deep analytics to enable the extraction of patterns of possible risky situations” and sees data mining and real time analytics as a basement for novel supply chain approaches.