Towards the European Open Science Cloud The Role of Computer Science - - PowerPoint PPT Presentation

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Towards the European Open Science Cloud The Role of Computer Science - - PowerPoint PPT Presentation

Towards the European Open Science Cloud The Role of Computer Science Klaus Tochtermann Generic Research Data Infrastructure www.gerdi-project.eu Page 1 Funded by Name, Institution Ort, Datum ZBW Leibniz Information-Center for


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Funded by Generic Research Data Infrastructure · www.gerdi-project.eu Name, Institution Ort, Datum

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The Role of Computer Science

Klaus Tochtermann

Towards the European Open Science Cloud

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Funded by

ZBW – Leibniz Information-Center for Economics

  • 4,4 Mio media (print/digital)
  • Access to 2,3 Mio digital fulltexts
  • 5,5 Mio downloads of digital fulltexts
  • 282 Staff
  • 24 Mio Euro Budget/Year
  • Research Topic: Open Science

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Funded by Generic Research Data Infrastructure · www.gerdi-project.eu

Digitization of Science

Science becomes data-driven, open and interdisciplinary.

Name, Institution Ort, Datum

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Funded by Generic Research Data Infrastructure · www.gerdi-project.eu

Research Data Management

Disciplinary research data repositories across Germany · Europe · World.

Name, Institution Ort, Datum

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Image: www.digitalbevaring.dk

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Science becomes cross-disciplinary

Name, Institution Ort, Datum

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Fishing for proteins

How marine fisheries impact on global food security up to 2050. A global prognosis

Link

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Recognized Importance

Name, Institution Ort, Datum

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European Open Science Cloud

  • Vision. Bringing together current and future data infrastructures.

Name, Institution Ort, Datum

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What does bringing together mean?

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Funded by Generic Research Data Infrastructure · www.gerdi-project.eu

Challenge 1 – Infrastructures

Longterm Accessible · Sustainable · Interoperable Infrastructure Connection of

  • Existing Systems
  • Software Components
  • Protocols
  • Standards
  • Policies
  • Governance Structure

Name, Institution Ort, Datum

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Challenge 2 – FAIR Data

FAIR Data. Findable · Accessible · Interoperable · Re-usable

Name, Institution Ort, Datum

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Image: www.digitalbevaring.dk

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Funded by Generic Research Data Infrastructure · www.gerdi-project.eu

Challenge 1 – Infrastructures

Longterm Accessible · Sustainable · Interoperable Infrastructure

Name, Institution Ort, Datum

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Image: www.digitalbevaring.dk

Connection of

  • Existing Systems
  • Software Components
  • Protocols
  • Standards
  • Policies
  • Governance Structure
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Infrastructure for interdisciplinary research

Support the professional management of research data. Enable scientists

  • Search
  • Process
  • Analyze
  • Store
  • Share
  • Manage
  • Re-use

Name, Institution Ort, Datum

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Research Data

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Objectives

Data Life Cycle. Consider important phases.

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Create Process Analyse Store Find

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Find

Name, Institution Ort, Datum

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Create Process Analyse Store Find

SEARCH ENGINE

Index System

Node 1 Node 2

Public Search Mask

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Process

Name, Institution Ort, Datum

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SEARCH ENGINE

Index System

Node 1 Node 2

Public Search Mask

Create Process Analyse Store Find

INTERIMS STORAGE

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Analyse

Name, Institution Ort, Datum

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SEARCH ENGINE INTERIMS STORAGE

Create Process Analyse Store Find

HPC

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Index System

Node 1 Node 2

Public Search Mask

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Store / Create

Name, Institution Ort, Datum

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INTERIMS STORAGE

Create Process Analyse Store Find

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HPC

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Micro-service architecture

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Search Repository Select Store Preprocess Analyze Submit Harvest

Search UI Query/ Index API Search DB Archive UI Archive API Archive DB Select UI Select API Select DB Store UI Store API Storage Preprocess UI Preprocess API Preprocess Storage Analyze UI Analyze API Analyze Storage Publish UI Publish API Publish Storage Harvest API Harvest DB

Frontend Integration Backend Integration

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Challenges

A long-living expandable infrastructure.

Name, Institution Ort, Datum

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  • architectural decisions
  • service management
  • Lossless, cross-disciplinary metadata schema

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Take Home Messages

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Reliable service management is key success factor Lossless, cross-disciplinary metadata standards and schemas are needed How to cope with big players such as Google‘s Google Dataset Search

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Funded by Generic Research Data Infrastructure · www.gerdi-project.eu

Challenge 2 – FAIR Data

FAIR Data. Findable · Accessible · Interoperable · Re-usable

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Image: www.digitalbevaring.dk

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Funded by Generic Research Data Infrastructure · www.gerdi-project.eu Name, Institution Ort, Datum

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Funded by

GoFAIR Initiative

Ø Open and inclusive environment for anyone committed to defining and creating elements of the Internet of FAIR Data & Services (IFDS) Ø Integrating all disciplines: bottom up, open to all, cross border, cross discipline Ø Goal: Broad acceptance and application of FAIR principles à IFDS

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Funded by

Joining GoFAIR

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Implementation Networks can join GoFAIR in 3 steps: (1) Fill in application form on www.go-fair.org (2) Sign Rules of Engagement and select a consortium coordinator (3) Create a Manifesto outlining objectives, strategy, partners etc.

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Funded by

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Funded by Generic Research Data Infrastructure · www.gerdi-project.eu

Take Home Messages

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… bottom-up approach to reach all who do not want to engage in EC funded projects… … members can contribute with specific competences, e.g. provision of harvesting/index technology, micro-services

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Summary

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