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

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.

#DataSovereignty #DataEconomy  #Fair

What can a fair data economy for Germany and Europe look like? Under the auspices of the Federal Ministry of Education and Research, the Fraunhofer ICT Group held an event on this question in mid-March 2022 with numerous experts.

The term "fair" is deliberately meant in a double sense: FAIR is an acronym in the field of research data and stands for Findable, Accessible, Interoperable and Reusable. These principles are guidelines on how to deal with research data. 

Independent of this technical term, "fair" is of course also a synonym for "just" or "balanced". This aspect is also important in relation to the data economy, because it will only function well if it follows the principles of a social data market economy. It must therefore balance the different interests of the actors in the data economy and bring them into equilibrium.

In this episode of his vlog, Prof. Dr.-Ing. Boris Otto explains how this can succeed. In it, he also explains how the two interpretations of the term FAIR were brought together during the event. 

Who would like to learn more:

To the individual presentations from the event "Leitbild einer fairen Datenökonomie für Deutschland und Europa

More information on the FAIR Dataspaces project

#DataSharing #DataSpaces #InternationalDataSpaces #DataSovereignty #OpenSource #Certification #Specification #DataSpacesBusinessAlliance #IDSA #GaiaX #BDVA #Fiware

As a non-profit organisation, the International Data Spaces Association has set itself the goal of creating a standard for data sovereignty in data spaces. But what do I as a company gain from getting involved in the International Data Spaces Association?

Prof. Dr. Boris Otto describes the "magic triangle" of the International Data Spaces Association IDSA in his latest vlog:

1. The specification: The description of the software architecture for sovereign data spaces (reference architecture model RAM and technical specifications for individual components).

2. The open source community: Everyone is invited to participate in the further development of IDS components (GitHub repository). An example of such a project is the Eclipse Dataspace Connector.

3. The certification: Since anyone can contribute to IDS components, there must also be testing and certification of solutions. This is done through a certification and compliance testing process (Testbed on GitHub).

Based on these building blocks, software providers can enrich their offerings with data sovereignty components and certify them accordingly - an attractive competitive advantage. Users can introduce their requirements as components into the architecture (design option). As a founding member of the IDSA, the Fraunhofer-Gesellschaft sees it as its mission to bring this triangle to life. It therefore supports the networking of initiatives of the same direction, e.g. by founding the Data Spaces Business Alliance from IDSA, Gaia-X AISBL, Big Data Value Association and Fiware.

#dataspaces #strategy #anniversary #datastrategy #DataEcosystems #CatenaX #Mobi-lityDataSpace #30ISSTunning

2022 will be a special year for Fraunhofer ISST: The institute will be 30 years old. Just in time for the anniversary, the institute's strategy has also been revised and adapted to the current research questions. Thus, we will consistently continue on the path towards the implementation of successful data ecosystems, which we started in the past years, because the point has now been reached where data spaces as a possibility for the sovereign and controlled sharing of data no longer only arouse interest, but also go into concrete implementation: This is demonstrated by the European and German data strategies, but also by initiatives such as Catena-X or the Mobility Data Space. An exciting year, which Prof. Dr. Boris Otto presents in this issue of his vlog at the end of the year.

#DataInfrastructure #InternationalDataSpaces #DataSharing #GaiaX #DataMarketEconomy #DataEcosystems #WeKnowHow

The term "social data market economy" transfers the principle of the social market economy to a fair data economy. It describes the German and European way to design a data economy in which the interests of the individual (i.e., the individual data provider) are balanced with the interests of the community in the use of this data. Characteristics of this approach are

• a symbiotic coexistence between market and state,
• the exercise of services of general interest by the state by providing the infrastructure (Gaia-X, International Data Spaces), and
• implementation according to social principles into a fair data market economy.

Prof. Dr. Boris Otto explains details of this central data strategy approach of the German Federal Government and the European Commission in the current vlog.

#MobilityDataSpace #InternationalDataSpaces #DataSovereignty #DataSharing #IDS #GaiaX #WeKnowHow

Today, travelers are forced to put together their trip piece by piece with the help of a multitude of apps and smart services from the individual providers of mobility services (public transport, rail, airlines, hotel chains, etc.).

The Mobility Data Space aims to change this. It offers customers an end-to-end service for their journey and at the same time gives data providers sovereign control over their own data. Prof. Dr. Boris Otto explains how this works in the current vlog.

#Team #InstituteCulture #MotleyCrew #DataSovereignty #InnovationsFromData #ThisISSTunning

Anyone who wants to develop innovations needs a heterogeneous team. At Fraunhofer ISST, in addition to computer scientists and engineers, medical professionals and sociologists work together to develop solutions for a self-determined approach to data - in an open and creative working atmosphere and diverse teams with flat hierarchies. You want to become a part of us? Here are our current job offers: 

• https://www.isst.fraunhofer.de/en/jobs

#DataSovereignty #DataSharing #DataStrategy #WeKnowHow

Prof. Dr.-Ing. Boris Otto explains in our vlog #Data_RSR episode 11 why the Dataspace Connector is an important entry for companies in Gaia-X and International Data Spaces. Therefore, the following three ingredients are needed above all: trust in data sharing, sovereignty over data and interoperability of data. The Dataspace Connector serves all these aspects. Furthermore, it is available as free open source software via Github.

Visit the website of the Dataspace Connector https://s.fhg.de/js10

Visit our account on Github https://s.fhg.de/gjh

#DataSovereignty #DataSharing #Datenstrategie #WeKnowHow

The year is still young, so it's worth taking a look at everything that will happen around #InnovationsFromData this year.

Against the backdrop of the EU data strategy, data rooms in particular will gain momentum. Stakeholders, companies and politicians, have recognized the importance of data rooms for innovative business models and also for services. In some industries, we are already seeing data spaces being created:

• on mobility
• to the Automotive Alliance
• to healthcare

Prof. Dr.-Ing. Boris Otto explains in our vlog #Data_RSR episode 10 how we at Fraunhofer ISST contributed to the electronic patient record and how well digital technologies are suited for project work in challenging times.

#InternationalDataSpaces #DataSovereignty #DataSharing #IDS #GaiaX #Datenstrategie #WeKnowHow #InnovationsFromData

The GAIA-X initiative has set itself the goal of achieving cloud and data sovereignty for Europe, based on the GAIA-X Association - a non-profit organization under Belgian law.

Three main goals are currently being promoted within this organization:

• the GAIA-X architecture
• the Federated Services
• the open source community

In our Vlog #Data_RSR episode 9, Prof. Dr.-Ing. Boris Otto explains how important it is for companies to become involved in the GAIA-X Association now and to become involved in the architecture and the open source community, and why.

#InternationalDataSpaces #DataSovereignty #DataSharing #IDS #GaiaX #Data Strategy #WeKnowHow

Why everyone has to bring something to the party if they want to use Data Spaces is explained by Prof. Dr.-Ing. Boris Otto, director of the Fraunhofer Institute for Software and Systems Engineering ISST, in the current issue of Data ReSearcheRs Vlog 8:

• How do you actually build Data Spaces?
• To what extent can data spaces be classified into basic architectural models?
• What are success factors for Data Spaces?
• Which incentive systems are needed and how is the financing?

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

#Cloud #Datenstrategie #Innovationen #Ökosysteme #IDS #GAIA-X #DataSharing #Skalierung #Automatisierung #Standardisierung #OpenSource #DevOps #NoLogin # Interoperabilität #Portabilität

Cloud computing is not a new topic, but it is currently gaining momentum: Where companies develop innovations more and more collaboratively in networks or ecosystems with partners, they need IT platforms "in their midst" to exchange data. Naturally, they want to retain sovereignty over data usage.

• What business reasons speak in favor of cloud solutions?
• And what technical challenges need to be taken into account to avoid dependence on a cloud provider
• What role do open source developments, DevOps, GAIA-X or the International Data Spaces initiative play in this context?

These questions are answered by Prof. Dr.-Ing. Boris Otto, director of the Fraunhofer Institute for Software and Systems Engineering ISST, in the current Data ReSearcheRs Vlog on the topic of cloud strategies.

#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.

#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.

#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.

#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.

#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.

#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:

• https://www.demand-projekt.de/