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Christoph Mertens_IDSA_Introduction to Data Spaces.pptx
Das Dokument beschreibt die Entwicklung und Standardisierung von Datenspeichern innerhalb von dezentralen und dynamischen Datenökosystemen, um eine effektive Datenfreigabe und Nutzung zu ermöglichen. Es werden fünf Schritte skizziert, um Datenräume zu schaffen, und verschiedene Forschungsprojekte sowie Förderungen werden vorgestellt, darunter das MERLOT-Projekt zur nachhaltigen Gestaltung des Bildungsdatenraums. Zudem wird auf die Bedeutung von Datenhoheit, Interoperabilität und innovative datengestützte Dienste eingegangen.
Christoph Mertens_IDSA_Introduction to Data Spaces.pptx
- 1. How to futureproof your data with data spaces FIWARE DACH Community Christoph Mertens – Head of Adoption @ IDSA
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- 4. 4 DIVISION OF LABORAND ITS IMPLICATION ON THE DIGITAL WORLD Bilateral data exchange one-to-one Market Adoption Decentralized and dynamic data ecosystem: many-to-many Closed community data sharing few-to-few Q&A SESSION 4 STANDARDIZATION
- 5. DATA DRIVEN VALUECHAINS – DEMAND AND CAPACITY MANAGEMENT Just in Time OEM Tier 1 Tier 1 Tier 1 Just in Sequence
- 6. DATA SPACE LAYERMODEL Business Standardization Data products Infrastructure Applications enables Business Data Space Standardization, Certification, Tools Business Cases Data Space Stack Data Products & Applications enables improve Infrastructure Capabilities
- 7. ROLES AND GOVERNANCEIN DATA SPACES Regulations Regulations Regulations Regulations Regulations Governance Business (De-facto)- Standard creators (DSBA+) Standardization Data products Infrastructure Roles Applications Business Data Space Standardization, Certification, Tools Data Space Stack Users Participants, Projects, Providers enables enables Governance #n Infrastructure Capabilities feedback Business Cases Data Products & Applications Governance #2 Providers data space operators, cloud & infrastructure providers Governance #1
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- 9. IDS Life Cycle 9 IDS-RAM4.0 IDSA Rule Book GitHub Step 1 Gather knowledge and find your role Step 2 Create your data sharing use case Step 3 Build or buy the necessary components Step 4 Prepare for bringing your use case to life Step 5 Share How To IMPROVE USE
- 10. What`s moving us forward? In 5 StepsTowards Your Data Space Step 1 Gather knowledge and find your role Step 2 Create your data sharing use case Step 3 Build or buy the necessary components Step 4 Prepare for bringing your use case to life Step 5 Share
- 11. Research Projects –IDSA Deck 11 Overview IDS in Research Projects EUHubs4Data AgriDataValue FlexiGroBots BD4NRG Omega – X DAT4.zero DIH2 Level-Up DataBri-X Dates Devine DSSC Enershare SPEAKER DaCapo AI Marketplace DOME 4.0 PAIRS
- 12. © MERLOT -MarkEtplace foR LifelOng educaTional dataspaces and smart service provisioning Gefördert durch das Bundesministerium für Wirtschaft und Klimaschutz aufgrund eines Beschlusses des Deutschen Bundestages MarkEtplace foR LifelOng educaTional dataspaces and smart service provisioning (MERLOT) Gefördert durch: BMWK Förderprogramm: Innovative und praxisnahe Anwendungen und Datenräume im digitalen Ökosystem Gaia-X Laufzeit: 01.01.2022 – 31.12.2024 Koordinator: imc AG Konsortialpartner: 11 MERLOT – Projekt 12 TU Kaiserslautern
- 13. © MERLOT -MarkEtplace foR LifelOng educaTional dataspaces and smart service provisioning Gefördert durch das Bundesministerium für Wirtschaft und Klimaschutz aufgrund eines Beschlusses des Deutschen Bundestages 1. Datensouveränität: Gewährleistung des Datenschutzes für alle Dateneigentümer/-dienstleister zu jeder Zeit (SSI, PDI, ...) 2. Dateninteroperabilität: Einhaltung und Etablierung internationaler Standards (Gaia-X, IDSA, EDC,...) 3. Entwicklung eines MERLOT Marktplatzes in öffentlich-privater Partnerschaft 4. Nachhaltige dynamische Entwicklung der Bildungsdatenökonomie und Ermöglichung von datengetriebenen Geschäftsmodellen 5. Entwicklung von innovativen datengestützten digitalen Diensten (KI) MERLOT: Nachhaltige Gestaltung des Bildungsdatenraums 13
- 14. Enershare has receivedfunding from European Union’s Horizon Europe Research and Innovation programme under the Grant Agreement No 101069831 The Energy Data Space for Europe enershare.e u 14
- 15. enershare.e u The Energy DataSpace for Europe • ENERSHARE- European Common Energy Data Space framework enabling data sharing-driven across- and beyond- energy services • Project Goal - To develop and demonstrate a European Common Energy Data Space which will deploy an ‘intra-energy’ and ‘cross- sector’ interoperable trusted Energy Data Ecosystem • Starting Date: 1st July 2022 – Duration: 36 months • Total Costs: 9.537.658,75 Euro, • EU contribution: 7.999.712,00 Euro (Innovation Action) • Partners: 29 + 2 Affiliated Entities (Linked Third Parties) • Country Coverage: 11 Countries • Italy, Slovenia, France, Greece, Spain, Latvia, Portugal, Norway, Finland, The Netherlands and Luxembourg Project Identity Card 15
- 16. enershare.e u The Energy DataSpace for Europe ● BRIDGE Data Management WG (DERA v2.0) ● GAIA-X – Energy Data Space WG -> Visionary Use cases ● BDVA/DAIRO - TF Energy ● IDSA – open architecture and contractual framework for secure exchange and trusted sharing of data through data sovereignty ● OPEN DEI – Converging guidelines on design principles for data spaces ● FIWARE Smart Energy Vertical Reference Architecture ● ETIP SNET- Energy Digitazion WG4 ● Digitalisation Of Energy Action Plan (DOEAP) Leveraging on DataSpaces Groundbreaking initiatives 16
- 17. BENEFITS OF SHARINGDATA AND DATA SERVICES • Data sovereignty, higher trust amongst participants, interoperability • Higher agility to react quicker on disruption and other changes • Create disruptive business models on your own terms • Speed up decision-making thanks to AI-based services which have potential access to all data sets in the data space • Improved risk assessment based on real live data while at the same time the risk of loss of data sovereignty is minimized • Closer relation to customers for OEM which leads to a better understanding about needs of customers which can be brought to high quality services (e. g. car driver can reserve a park spot on the way, due to information about availability from other cars and the environment)
- 18. 18 Our members arethe backbone of IDSA People contributing Countries 152 860+ 28
- 19. Start Your Journey 19 Bea Pioneer!
- 20. Christoph MERTENS メルテンス・クリストフ Head ofAdoption www.internationaldataspaces.org +49 162 1011625 christoph.mertens@internationaldataspaces.org ids_association International Data Spaces Association
Hinweis der Redaktion
- #3 What is a marketplace? It is the sum of all it‘s parts. You cannot reduce it to only the products or only the goods, the salesman, the visitors, the decoration, the product description. Depending on the country or also the purpose of the market it will have different color schemes, specific goods, like vegetables or here in this case Japanese traditional clothes, decoration, spiritual items, incense sticks, etc. It is the perfect market for the context it is embeded in. Other contexts or lets do the transfer to the actual topic „data spaces“, other domains have other ideas on how such an ecosystem should be decorated, how you can display your goods, which are the data, how the price tags and info screens should look like. Overall regardless of the exact market, you find communalities. Obvisously all need a kind of booth to be able to offer their goods
- #5 The division of labor in physical production environments and in the service world lead us first to value chains and in the evolution of this concept to complex value networks, making companies more efficient by allowing them to focus on their core purpose. For rather stable value chains the exchange of data on a bilateral level was sufficient to support the business processes of companies. More complex value networks call for a higher agility the connection to business partners must be flexible. The digitalization of your business is a logical consequence of the division of labor in the service and physical product world. It helps to “fuel” the value chain with data and hence information to break silos in departments, companies, and countries with only one solution – data spaces. The shareability of data on large scale leads to several benefits: Higher agility to react quicker on disruption and other changes or to disrupt business on your own Quicker decision-making thanks to AI-based services which operate on data from the entire value chain Improved risk assessment based on real live data while at the same time the risc of loss of data sovereignty is minimized Closer relation between OEM and customers leads to a better understanding about needs of customers which can be brought to high quality services (e.g. car drivcer can reserve a park spot on the way, due to information about availability from other cars and the environment)
- #6 The example of supply chains make very clear that division of labour is part of our reality in production of physical goods. Thanks to data spaces and the connection between suppliers and OEMs companies can be faster in the process of getting from analysing and recognising an instant towards acting accordingly.
- #7 Infrastructure or Data Spaces Capability Stack
- #8 3-Layers of policies from BAIDATA presentation for governance story
- #11 Bring link to github on the first page