Globally Interoperable IoT Identification and Data Processing (RDA Session II: Industrial Challenges for Linking Clouds)

Tuesday Jun 06   02:00 PM to 03:45 PM (1 hour 45 minutes)
In all sectors of society increasingly more data is being created and seems to offer gigantic opportunities for new insights, businesses and societal developments. Big Data analytics such as in material science and industry based on a global aggregation of experimental and simulation data will lead us to new classification systems of compound materials enabling a much faster response to new industrial requirements. 
It is already evident that we cannot deal efficiently with all the data and that we are not able to combine different types of data for societal and commercial benefits seamlessly. In science 80% of data disappears after short periods of time and 80% of expert time is wasted for simple data management operations. The expected dramatic increase of smart devices in all kinds of situations will generate even exponentially more data - each of the billions of these devices will generate endless streams of data that to a large extent will be aggregated in repositories.
Of crucial importance for science, research and industry therefore is finding unifying core elements and globally interoperable solutions for networking data just as the introduction of the TCP/IP standard helped to create a unified Internet a few decades ago - a solution for combining the existing computer networks. We need to understand that at the core of our data world is the concept of a Digital Object, which can be of various types and which we want to connect by automatic methods where possible. To enable seamless machine processing each Digital Object must have associated with it a unique and persistent identifier that can be resolved globally into meaningful state information about it. Having one globally available persistent identifier (PID) that can be resolved to worldwide agreed state information will be at the core of
  • referencing the entities in our digital world in a stable way
  • tracing their creation history and usage
  • assessing their integrity even after many years
  • creating interoperability at the basic level  
 At this workshop we want to bring experts from Research Data Alliance (RDA) working on concepts to link the clouds together with experts from the IoT domain working on similar concepts (Multi Service IoT Platforms) to discuss requirements and possible solutions. Despite differences in terminology it is obvious that we are working on finding open and globally interoperable solutions that will facilitate identification, resolution to state information and thus efficient data processing. 



Max Planck Computing and Data Facility
RDA Director Europe
Siemens AG
Corporate Standardization Manager
CNRI - Corporation for National Research Iniciatives
CEO and President
Intel Fellow
Telemetry, Data Architectures and IoT Solutions
Internet of Things Information Technology and Application Laboratory of the Computer Network Information Center (CNIC), Chinese Academy of Sciences (CAS)
Executive Deputy Director