#Data_RSR – the vlog of our director Prof. Boris Otto

How are innovations created from data?

In his concise, informative, and substantiated Data Researchers vlog, Prof. Boris Otto examines current digitization topics.

Prof. Otto is the director of the Fraunhofer Institute for Software and Systems Engineering ISST and Professor for Industrial Information Management at TU Dortmund University. His services are in demand as an expert for digitization and artificial intelligence, and he advises the federal government on its digitization strategy. His research focuses on industrial information management, business and logistics networks, and methods for the design of digital business solutions. Within the Fraunhofer-Gesellschaft, he is the head of International Data Spaces aimed at the standardized and sovereign exchange of data between companies.

#6: Launch of GAIA-X: How can companies participate? (06/2020)

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#GAIA-X #Data sovereignty #InternationalDataSpaces #IDS #DataSovereignty #DataSharing

On 4 June 2020, a total of twenty-two founding members officially started building the European data infrastructure "GAIA-X". The aim is to enable European companies to leverage and use their existing data treasure.

  • But what must the infrastructure offer in terms of data sharing on the one hand and the protection of business secrets on the other?
  • And how can interested companies participate in the data infrastructure?
  • What role does the GAIA-X Foundation play in this?

These three questions are answered by Prof. Dr.-Ing. Boris Otto, Director of the Fraunhofer Institute for Software and Systems Engineering ISST, in the latest Data ReSearcheRs Vlog.

#5: Data economy – data quality (01/2020)

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#DataEconomy #DataSovereignty #DataQuality

Today’s Data Researchers vlog is about fundamental data economy topics:

  • What is the definition of data and how is this different from information?
  • How is data quality measured and what is the value of data?
  • What parameters are important for data quality?

Prof. Boris Otto, director of the Fraunhofer Institute for Software and Systems Engineering ISST, answers these questions. He uses the Fraunhofer-Gesellschaft’s DUNS number as an example. Boris Otto shows why data quality and data value are closely related, and why it is important to research the functional relationship between these two dimensions.

#4: GAIA-X – data security and sovereignty (10/2019)

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#GAIA-X #DataSovereignty #InternationalDataSpaces

GAIA-X creates a networked data infrastructure for citizens and companies in Germany, Europe, and the world.

  • But what is GAIA-X?
  • Why do we need it?
  • And what does GAIA-X have to do with the International Data Spaces initiative?

Prof. Boris Otto, director of the Fraunhofer Institute for Software and Systems Engineering ISST, answers these three questions in the current Data Researchers vlog.

#3: Ecosystems defined (07/2019)

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#Data_RSR #DataValue #DataEconomy #Ecosystems

One of the intensively discussed terms of digitization: "ecosystems".

  • What are ecosystems?
  • What is the concept?
  • Just another newfangled catchword, or is there really something behind it?
  • What is the difference between ecosystems and "classic" company networks?

Prof. Boris Otto answers these questions in today’s vlog #3:
Innovations are increasingly being realized in economic ecosystems, in which various members such as companies, research organizations, intermediaries (such as electronic marketplaces), government agencies, customers, and competitors band together to jointly attain innovative value propositions.

#2: The digital twin (05/2019)

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#Data_RSR #DataValue #DataEconomy

The digital twin as a key prerequisite for the success of industry 4.0.

  • What is a digital twin?
  • How does it work?
  • What does it consist of?
  • What makes it so important for industry 4.0 and
  • why is it a key prerequisite?

Prof. Boris Otto examines these and many other questions in Data Researchers vlog #2:
As a product of a conceptual nature in its creation that is based on data, information, and data models, it is not an entirely new concept but nevertheless one that is steadily gaining importance. It ensures/guarantees interoperability between various players as a basis, among other things for semantic functions. Thus the digital twin is not only important for production, where it models the entire life cycle of a product with various data, and for the success of industry 4.0, but is increasingly spreading to other fields. These range from logistics to healthcare to our private lives.

The digital twin is therefore a topic of great relevance for industry and for our society. After all, more data about us, production chains, or other processes are collected every day, and these data require secure administration. This is where Fraunhofer ISST with its researchers comes in.

#1: The value of data (03/2019)

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#Data_RSR #DataValue #DataEconomy

What is the value of data? How can the value of data be quantified and measured?

Those are key questions for companies in the age of digitization. The same three parameters can be used to determine the value of data as for other asset:

  • What costs were incurred?
  • What is the utility value of the data?
  • Who is the buyer and what are they willing to pay?

Concepts for the management of tangible assets therefore have to be transferred to intangible assets – in our case, data obtained through analysis. The DEMAND research project – Data Economics and MANagement of Data driven business – is developing concrete solutions for practical architectures, process models, and tools. The Working Group 6 of the industry 4.0 platform is currently examining this topic as well. Prof. Boris Otto, executive director of the Fraunhofer Institute for Software and Systems Engineering ISST

Projects and further information that may interest you: