The document discusses the EOSC-hub project, which aims to create an integration and management system called "the Hub" for the future European Open Science Cloud (EOSC). The Hub will engage providers from major European digital infrastructures to offer services, software, and data for advanced research. EOSC-hub will integrate production-ready services, operate and provide access to resources, and support the utilization of resources for open science, open innovation, and being open to the world. It will support the EOSC Declaration by providing a service integrator and federator for the EOSC and developing expertise in procuring digital services.
Horizon 2020: Outline of a Pilot for Open Research Data LIBER Europe
The European Commission is developing an Open Data Pilot. This pilot will look at research data generated in projects funded under the Horizon 2020 framework, with the aim of stimulating the data-sharing culture among researchers and facilitating both the re-use of information and data-driven science.
As organisations with a strong interest in Open Data, OpenAIRE, LIBER and COAR have assessed the current situation and made recommendations for an effective Open Data Pilot.
Open Data and Cross Disciplinary Research - EUDAT Summer School (Brian Matthe...EUDAT
The European Open Science Cloud (EOSC) has become a driving force behind the current evolution of e-Infrastructure to support research. The EOSC offers the vision of an integrated ecosystem of data, services and expertise providing a common platform for open cross-community research in Europe and beyond. In this session, I shall consider the aims of the EOSC and discuss some the opportunities it offers, and barriers it needs to overcome to realise the vision. I shall introduce the EOSC-Pilot project which is aiming to pave the way towards the EOSC by exploring the opportunities and barriers, and proposing how the EOSC should evolve, both technically, including its architecture, and organisationally, including how it should be managed. Participants will be invited to consider what the issues of the EOSC are and how it might affect their own domain.
Visit: https://www.eudat.eu/eudat-summer-school
Delivered by Peter Burnhill at Text Mining for Scholarly Communications and Repositories Joint Workshop, Manchester Interdisciplinary Biocentre, University of Manchester, 28-29 October 2009
Horizon 2020: Outline of a Pilot for Open Research Data LIBER Europe
The European Commission is developing an Open Data Pilot. This pilot will look at research data generated in projects funded under the Horizon 2020 framework, with the aim of stimulating the data-sharing culture among researchers and facilitating both the re-use of information and data-driven science.
As organisations with a strong interest in Open Data, OpenAIRE, LIBER and COAR have assessed the current situation and made recommendations for an effective Open Data Pilot.
Open Data and Cross Disciplinary Research - EUDAT Summer School (Brian Matthe...EUDAT
The European Open Science Cloud (EOSC) has become a driving force behind the current evolution of e-Infrastructure to support research. The EOSC offers the vision of an integrated ecosystem of data, services and expertise providing a common platform for open cross-community research in Europe and beyond. In this session, I shall consider the aims of the EOSC and discuss some the opportunities it offers, and barriers it needs to overcome to realise the vision. I shall introduce the EOSC-Pilot project which is aiming to pave the way towards the EOSC by exploring the opportunities and barriers, and proposing how the EOSC should evolve, both technically, including its architecture, and organisationally, including how it should be managed. Participants will be invited to consider what the issues of the EOSC are and how it might affect their own domain.
Visit: https://www.eudat.eu/eudat-summer-school
Delivered by Peter Burnhill at Text Mining for Scholarly Communications and Repositories Joint Workshop, Manchester Interdisciplinary Biocentre, University of Manchester, 28-29 October 2009
Open Data in a Big Data World: easy to say, but hard to do?LEARN Project
Presentation at 3rd LEARN workshop on Research Data Management, “Make research data management policies work”
Helsinki, 28 June 2016, by Sarah Callaghan, STFC Rutherford Appleton Laboratory
Stuart Macdonald talks about the Research Data Management programme at the University of Edinburgh Data Library, delivered at the ADP Workshop for Librarians: Open Research Data in Social Sciences and Humanities (ADP), Ljubljana, Slovenia, 18 June 2014
Presentation by Stuart Macdonald of the Edinburgh University Data Library at the Graduate School of Social and Political Science Induction, 15 and 16 Septeber, 2011, University of Edinburgh
Enabling Data-Intensive Science Through Data InfrastructuresLIBER Europe
These slides are from a talk given at LIBER's 42nd annual conference by Carlos Morais Pires of the European Commission.
In light of the current data deluge, and plans by the European Commission to harness this deluge through the implementation of e-infrastructures for data driven science under Horizon 2020, Pires issued a call to action to libraries to engage in the data infrastructure and bring their own unique, and now much needed competencies, to bear in bringing meaning to, and spreading the word about, data-driven science.
Linked Open Data Approaches within the ARIADNE Projectariadnenetwork
Holly Wright
Archaeology Data Service (ADS), UK
EAA 2016, Vilnius, Lithuania
Session: Open Access and Open Data in Archaeology -
Following the ARIADNE Thread
Now we are six: Integrating Edinburgh DataShare into local and internet in...Robin Rice
#iassist40 presentation, Toronto, 6/6/2014.
Abstract:
Edinburgh DataShare, an institutional data repository, is six years old. It was built as a demonstrator in DSpace by EDINA and Data Library and has been given new life by the University of Edinburgh’s Research Data Management initiative. Following testing by pilot users in various departments last year, DataShare is confirmed as a key RDM service. Since 2008 much external infrastructure has grown around data sharing, and software developers, publishers and librarians are creating new innovations around the sharing and re-use of data daily. How can DataShare be shaped to fit in to this ever-more-sophisticated environment? A number of ongoing developments are helping us integrate the repository in the global context. DataShare is being indexed in Thomson-Reuter’s Data Citation Index. We aspire to attain the Data Seal of Approval for DataShare, a badge that confers trustworthiness through peer review. It is listed in re3data.org and databib registries of data repositories. We offer via extension, peer review of datasets to our depositors by listing journals that publish ‘data papers’ such as F1000 Research. Locally, as Information Services builds new data services such as the Data Store, [private data] Vault and the [metadata-only] Register, we can focus DataShare on its named purpose.
Jarkko Siren is Project Officer in DG Communications Networks, Content and Technology at the European Commission.
Jarkko's presentation gives an introduction to public engagement in research at the European Commission
Open Data in a Big Data World: easy to say, but hard to do?LEARN Project
Presentation at 3rd LEARN workshop on Research Data Management, “Make research data management policies work”
Helsinki, 28 June 2016, by Sarah Callaghan, STFC Rutherford Appleton Laboratory
Stuart Macdonald talks about the Research Data Management programme at the University of Edinburgh Data Library, delivered at the ADP Workshop for Librarians: Open Research Data in Social Sciences and Humanities (ADP), Ljubljana, Slovenia, 18 June 2014
Presentation by Stuart Macdonald of the Edinburgh University Data Library at the Graduate School of Social and Political Science Induction, 15 and 16 Septeber, 2011, University of Edinburgh
Enabling Data-Intensive Science Through Data InfrastructuresLIBER Europe
These slides are from a talk given at LIBER's 42nd annual conference by Carlos Morais Pires of the European Commission.
In light of the current data deluge, and plans by the European Commission to harness this deluge through the implementation of e-infrastructures for data driven science under Horizon 2020, Pires issued a call to action to libraries to engage in the data infrastructure and bring their own unique, and now much needed competencies, to bear in bringing meaning to, and spreading the word about, data-driven science.
Linked Open Data Approaches within the ARIADNE Projectariadnenetwork
Holly Wright
Archaeology Data Service (ADS), UK
EAA 2016, Vilnius, Lithuania
Session: Open Access and Open Data in Archaeology -
Following the ARIADNE Thread
Now we are six: Integrating Edinburgh DataShare into local and internet in...Robin Rice
#iassist40 presentation, Toronto, 6/6/2014.
Abstract:
Edinburgh DataShare, an institutional data repository, is six years old. It was built as a demonstrator in DSpace by EDINA and Data Library and has been given new life by the University of Edinburgh’s Research Data Management initiative. Following testing by pilot users in various departments last year, DataShare is confirmed as a key RDM service. Since 2008 much external infrastructure has grown around data sharing, and software developers, publishers and librarians are creating new innovations around the sharing and re-use of data daily. How can DataShare be shaped to fit in to this ever-more-sophisticated environment? A number of ongoing developments are helping us integrate the repository in the global context. DataShare is being indexed in Thomson-Reuter’s Data Citation Index. We aspire to attain the Data Seal of Approval for DataShare, a badge that confers trustworthiness through peer review. It is listed in re3data.org and databib registries of data repositories. We offer via extension, peer review of datasets to our depositors by listing journals that publish ‘data papers’ such as F1000 Research. Locally, as Information Services builds new data services such as the Data Store, [private data] Vault and the [metadata-only] Register, we can focus DataShare on its named purpose.
Jarkko Siren is Project Officer in DG Communications Networks, Content and Technology at the European Commission.
Jarkko's presentation gives an introduction to public engagement in research at the European Commission
Vortrag im Rahmen der EERA-Session: Open Science and Educational Research? Inclusion and Exclusion at the European Open Science Cloud; am 5. September 2018 in Bolzano (Italien).
European Commission
DG Research and Innovation
RTD.A2. Open Data Policy and Science Cloud
Katarzyna Szkuta
The Ascent of Open Science and the European Open Science CloudTiziana Ferrari
Open science is becoming more and more part of the daily practice in conducting science. Around the world, researchers are increasingly aware of the value and importance of open science. As scientific research becomes highly data-driven and dependent on computing, scientists are conscious of the growing need to share data, software and infrastructure to reduce wasteful duplication and increase economies of scale. In an ideal world, every step of the research process would be public and transparent – the full methodology and all the tools used, as well as the data, would be accessible to the public and all groups without restriction, enabling reproducibility and refinement by other scientists.
This presentation will show case a number of success stories indicating how federated digital infrastructure, that have been sustained by the member states and the European Commission, have become an indispensable tool to enable collaboration ad sharing.
The European Open Science Cloud was launched by the European Commission in 2016 aiming to (1) increase the ability to exploit research data across scientific disciplines and between the public and private sector, (2) interconnect existing and new digital infrastructures in Europe and (3) support open science.
The presentation showcases how open data, open data analytics and open e-Infrastructures like EGI (https://www.egi.eu/) have been key enables of scientific discoveries from the discovery of gravitational waves with LIGO-VIRGO to drug design with the molecular modelling tools of WeNMR.
EOSC-hub (https://www.eosc-hub.eu/) - the first and the largest of the EOSC implementation projects of the H2020 funding programme, has succeeded in delivering some of the building blocks like the EOSC portal and Marketplace, tools and processes for federating data and services providers, harmonized policies, a federated AAI infrastructure, Competence Centres to support research infrastructures in their complex digital needs, interoperability guidelines and the Early Adopter Programme to provide expert support and service capacity to research projects.
Slides presented at the Spanish Agency of Science and Technology (FECYT) and the network of Spanish repositories (RECOLECTA) Research Data Management Webinar Series - see url:
http://www.recolecta.net/buscador/webminars.jsp
How the Research Data Service supports Open Research (aka Open Science) at the University of Edinburgh. Abridged slides used for presentation to Open Access Scotland meeting in Edinburgh on Wednesday 27th of March 2019.
Big Data Europe: SC6 Workshop 3: The European Research Data Landscape: Opport...BigData_Europe
Slides of the keynote at the 3rd Big Data Europe SC6 Workshop co-located at SEMANTiCS2018 in Amsterdam (NL) on: The European Research Data Landscape: Opportunities for CESSDA by Peter Doorn, Director DANS, Chair, Science Europe W.G. on Research Data. Chair, CESSDA ERIC General Assembly
EGI and EUDAT support to the PaNOSC projectEGI Federation
Data transfer & archivingm, and Jupyter on the EGI Federated Cloud at the core of EGI and EUDAT support to Photon and Neutron science in the PaNOSC project
With a network of more than 20 European research
organisations, data and computing centres in 14 countries,
the EUDAT Collaborative Data Infrastructure (CDI) is one of
the largest infrastructures of integrated data services and
resources supporting research in Europe.
Are you a researcher, citizen scientist, institution or community looking for data storage and value-added services? Do you want access to tools to make your research data more FAIR (findable, accessible, interoperable, and reusable)? Interested in seeing how the future European Open Science Cloud could support research data and practically foster cross-border, cross-disciplinary collaboration? Then this webinar is for you!
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...
EOSC-hub: first steps towards realising EOSC vision
1. CSC – Suomalainen tutkimuksen, koulutuksen, kulttuurin ja julkishallinnon ICT-osaamiskeskus
EOSC-hub: first steps towards realising
EOSC vision
Per Öster, CSC – IT Center for Science Ltd
3. EOSC Declaration
• RECOGNISING the challenges of data driven research in
pursuing excellent science;
• GRANTING that the vision of European Open Science is
that of a research data commons, widely inclusive of all
disciplines and Member States, sustainable in the long-
term,
• CONFIRMING that the implementation of the EOSC is a
process, not a project, by its nature iterative and based on
constant learning and mutual alignment;
• UPHOLDING that the EOSC Summit marked the beginning
and not the end of this process, one based on continuous
engagement with scientific stakeholders, the European
Commission,
• PROPOSES that all EOSC stakeholders consider sharing the
following intents and will actively support their
implementation in the respective capacities: …
EUROPEAN COMMISSION
DIRECTORATE-GENERAL FOR RESEARCH & INNOVATION
The Director-General
Brussels, 10 July 2017
EOSC Declaration
RECOGNISING the challenges of data driven research in pursuing excellent science;
GRANTING that the vision of European Open Science is that of a research data commons,
widely inclusive of all disciplines and Member States, sustainable in the long-term,
CONFIRMING that the implementation of the EOSC is a process, not a project, by its nature
iterative and based on constant learning and mutual alignment;
UPHOLDING that the EOSC Summit marked the beginning and not the end of this process,
one based on continuous engagement with scientific stakeholders, the European Commission,
PROPOSES that all EOSC stakeholders consider sharing the following intents and will
actively support their implementation in the respective capacities:
Data culture and FAIR data
[Data culture] European science must be grounded in a common culture of data stewardship, so
that research data is recognised as a significant output of research and is appropriately curated
throughout and after the period conducting the research. Only a considerable cultural change will
enable long-term reuse for science and for innovation of data created by research activities: no
disciplines, institutions or countries must be left behind.
[Open access by-default] All researchers in Europe must enjoy access to an open-by-default,
efficient and cross-disciplinary research data environment supported by FAIR data principles.
Open access must be the default setting for all results of publicly funded research in Europe,
allowing for proportionate limitations only in duly justified cases of personal data protection,
confidentiality, IPR concerns, national security or similar (e.g. 'as open as possible and as closed
as necessary').
[Skills] The necessary skills and education in research data management, data stewardship and
data science should be provided throughout the EU as part of higher education, the training
system and on-the-job best practice in the industry. University associations, research
organisations, research libraries and other educational brokers play an important role but they
need substantial support from the European Commission and the Member States.
[Data stewardship] Researchers need the support of adequately trained data stewards. The
European Commission and Member States should invest in the education of data stewards via
career programmes delivered by universities, research institutions and other trans-European
agents.
[Rewards and incentives] Rewarding research data sharing is essential. Researchers who make
research data open and FAIR for reuse and/or reuse and reproduce data should be rewarded, both
Ref. Ares(2017)3488418 - 11/07/2017
4. Data Commons?
commons |ˈkɒmənz|
Plural noun
1 (the Commons) short for House of Commons.• historical the common people
regarded as a part of a political system, especially in Britain: the state was
divided into clergy, nobility, and commons | both lords and commons
won some important concessions.
2 [treated as singular] land or resources belonging to or affecting the whole of a
community: the mismanagement of a commons | the global commons of
Antarctica.• US a dining hall in a school or college.3 archaic provisions shared in
common; rations.
commons |ˈkɒmənz|
Plural noun
1 (the Commons) short for House of Commons.• historical the common people
regarded as a part of a political system, especially in Britain: the state was
divided into clergy, nobility, and commons | both lords and commons
won some important concessions.
2 [treated as singular] land or resources belonging to or affecting the whole of
a community: the mismanagement of a commons | the global commons of
Antarctica.• US a dining hall in a school or college.3 archaic provisions shared in
common; rations.
5. “The e-Infrastructure
Commons is the political,
technological, and
administrative framework
for an easy and cost-
effective shared use of
distributed electronic
resources across Europe.”
6. • ”…an "e-Infrastructure Commons" should liberate scientists
from the often complex and distracting business of moving,
storing and processing data. They need services that are
coherent, managed and above all integrated so that they can
get on with the business of research and science.”
• “…we must be careful to not become constrained and stifle
innovation in the development, provision and use of these
services. The idea that there will be just "one way" of
supplying or using any service through an "efficient"
mandated or "voluntary" monopoly, has to be avoided.”
7. Set-up of an High Level Group of Experts on EOSC
to advise on its implementation
Launch of a Pilot action for EOSC in 2016 under the H2020
Research Infrastructure part
To demonstrate how to ensure availability of scientific data and data-analysis
services through a cloud infrastructure and design a stakeholder driven
governance framework.
E-Infrastructures topics in 2017 H2020 calls for federation &
interoperability of data infrastructures
Further substantial investments in the 2018-2020 WP
Involvement of MS & engagement of science communities is crucial
European Open Science Cloud: how
Acknowledgement: Lorenza Saracco, European Commission, DG RTD.B4
9. • Drivers of power consumption
o Number of users
o Number of devices
o Number of communicating apps
31.1.20189
10% of UK
power
consumption
due to ICT
1/3
network
1/3
devices
1/3
datacentres
Amount of data
12. Secure Compute Clouds
Supporting sample
logistics
• Federated Authentication
• Authorization
• Dataset registry
• Data transfer hub
• Policy and Legal Framework
Services and
Coordination
High speed encrypted
data transfer
GridFTP/Globus/Aspera
Secure data access remote API
( GA4GH )
Sequencing centers
Data
Users
EGA
at
Data Archiving
Bringing users
to data
Data Generation
Managing Access
Data Owner
Data Access Agreement
Data Access Committee
Data Request
Authorization Management Tools
( EGA and CSC REMS )
12
13. From field measurements to open data
31.1.201813 Questions:
Sensitive data?
Requirements on Authentication and authorization?
14. Instrument
Measuring PCs:
Raw data
at the stations
File servers at
stations:
Raw data and
field diaries,
cal documents
File servers
in Helsinki:
Raw and
intermediate
data,
documents,
scripts
SMEAR database:
Processed data
in Helsinki
ICOS, EBAS,...
databases:
Near real time
and processed data
outside UH
Routine data processing =
(- unit conversion)
- calibration correction
- quality check, gapfilling
- averaging over space or time
SMEAR
data flow
A/D conversion
unit conversion
IDA (CSC data
service):
Raw data &
document archive,
database datasets
Field
documentation
Researchers,
Data processing
server
Feedback on
data quality
Metadata
Metadata
Metadata
31.1.201814
https://avaa.tdata.fi/web/smart/smear
15. Data growth in
the life sciences
Data growth at EMBL-EBI
Source: Charles E. Cook et al. Nucl. Acids
Res. 2016;44:D20-D26
16. Data resources in life science
Nucleic Acids Research annual Database Issue
and the NAR online Molecular Biology Database Collection in 2012.
MY Galperin, GR Cochrane – Nucleic Acids Research, 2011
~1800
molecular biology
data resources
17. Support in All Phases of Research Process
201617
Plan
Customer Portal
Experts
Guides
Websites
Training
Service Desk
Produce
& Collect
Data
International
resources
Modelling
Software
Supercomputers
Analyse
Cloud Services
Training
Data science
Computing
Software
Store
B2SAFE
B2SHARE
HPCArchive
IDA
Databases
Research long-
term preservation
(LTP)
Share &
Publish
AVAA
B2DROP
B2SHARE
Databank
Etsin
Funet FileSender
19. Termination. Company may terminate your access to all or any part of the Service
at any time, with or without cause, with or without notice, effective immediately,
which may result in the forfeiture and destruction of all information associated with
your account, including User Submissions. If you wish to terminate your account,
you may do so by following instructions available on the Site. Any fees paid
hereunder are non-refundable. All provisions of the Terms of Use which by their
nature should survive termination shall survive termination, including, without
limitation, ownership provisions, warranty disclaimers, indemnity and limitations of
liability.
20. ARTICLE 2: DISCLAIMER
1. The Service is provided "as is" and the Provider disclaims any and all
representations and warranties, whether express or implied, including;- but
not limited to;- implied warranties of title, merchantability, fitness for any
particular purpose or non-infringement. The Provider does not promise any
specific results, effects or outcome from the use of the Service.
2. …
3. The Provider reserves the right to change, reduce, interrupt or discontinue
the Service or parts of it at any time.
4. No one has a right to use the Service; the Provider reserves the right to
exclude certain Users.
21. Are the commercial services sufficient?
• Nice complement but can not serve as the fundamental infrastructure for research
data of national and international interest
• Need for publicly funded and operated infrastructure
31.1.201821
e-Science Data Factory
22. EOSC-hub receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement
No. 777536.
EOSC-hub
Integrating and managing services for the
European Open Science Cloud
23 January 2018
23. 1/31/2018 23
EOSC-hub engages providers from 20 major digital
infrastructures, EGI, EUDAT CDI and INDIGO-DataCloud
jointly offering services, software and data for advanced
data-driven research and innovation.
24. 1/31/2018 24
Project in figures
• 100 Partners, 76 beneficiaries (75 funded)
• 3874 PMs, 108 FTEs, more than 150 technical and scientific
staff involved
– €33,331,18 of which the European Commission funds €30,000,000
• Duration: 36 months, Jan 2018 – Dec 2020
25. 1/31/2018 25
Mission
The project will create the Hub, a
federated integration and management
system for the future EOSC
Resources
and
Services
Federation
“core”
services
Federated
operations
Processes
and
policies
26. 1/31/2018 26
What does the Hub provide?
• Contact point for researchers and innovators to discover,
access, use and reuse a broad spectrum of resources for
advanced data-driven research
• Catalogue of resources and services
• Humanities, Engineering, Medical and Health Sciences, Natural
Sciences
• Corpus of policies, processes and federation services
(community-defined)
• Principles of engagement and EOSC “core” services
• Quality assurance reviews
• Manage end-to-end service level management performance
• Competence Centres and a Joint Digital Innovation Hub
• Specialized Technical support, training
27. 1/31/2018 27
The Hub and the Three Os
• Open Science
– Resources and services for sharing, discovery access, use
and reuse
• Collaboration with OpenAIRE-Advance
• Open Innovation
– A open collaborative effort of service providers and user
communities
• Co-design of process with Competence Centres and a Joint Digital
Innovation hub
• Open to the world
– Aggregates services from local, regional and national e-
Infrastructures in Europe and other regions of the world
28. 1/31/2018 28
From integration to utilization
Integrate
production-
ready
services
Operate and
Provide
Access and
Consume
30. EOSC – Service Architecture
Federation
Services
AAI,
Accounting,
Monitoring,
Operations,
Security Coord.
Basic Infrastructure
Compute and Storage
Open
Collaboration
Platforms
Application
Repository,
Configuration
Management,
Marketplace
Common services
Thematic
Service
Thematic
Service
Thematic
Service
Thematic
Service
Thematic
Service
Community Support services
Thematic
Service
Added Value Services
Compute, Data, Software
Management and Preservation
31. 1/31/2018 31
Research infrastructures & Communities
Thematic service providers
• CMS, astronomy/astro-particle physics
• Climate change/ENES
• GEO/Global Earth Observation System
of Systems
• Costal protection/LNEC
• Structural biology/WeNMR
• Earth Observation core data
resources/ESA, Copernicus sentinel
data, LANDSAT and other major EO
data archives
• Biodiversity / Lifewatch
Competence Centres
• Marine research/Euro-Argo
• LOFAR
• EuroFusion/ITER
• EPOS/EIDA seismic data and
computational seismology services
• EISCAT-3D
• ELIXIR/BBMRI/ECRIN
• DARIAH
• ICOS
32. 1/31/2018 34
Support to the Declaration:
Governance and Funding
EOSC-hub
– Provides an EOSC service integrator and federator.
– Develops the know-how and the prototype
procurement and purchasing framework to
acquire digital services from publicly funded
infrastructures and commercial providers.
EUROPEAN COMMISSION
DIRECTORATE-GENERAL FOR RESEARCH & INNOVATION
The Director-General
Brussels, 10 July 2017
EOSC Declaration
RECOGNISING the challenges of data driven research in pursuing excellent science;
GRANTING that the vision of European Open Science is that of a research data commons,
widely inclusive of all disciplines and Member States, sustainable in the long-term,
CONFIRMING that the implementation of the EOSC is a process, not a project, by its nature
iterative and based on constant learning and mutual alignment;
UPHOLDING that the EOSC Summit marked the beginning and not the end of this process,
one based on continuous engagement with scientific stakeholders, the European Commission,
PROPOSES that all EOSC stakeholders consider sharing the following intents and will
actively support their implementation in the respective capacities:
Data culture and FAIR data
[Data culture] European science must be grounded in a common culture of data stewardship, so
that research data is recognised as a significant output of research and is appropriately curated
throughout and after the period conducting the research. Only a considerable cultural change will
enable long-term reuse for science and for innovation of data created by research activities: no
disciplines, institutions or countries must be left behind.
[Open access by-default] All researchers in Europe must enjoy access to an open-by-default,
efficient and cross-disciplinary research data environment supported by FAIR data principles.
Open access must be the default setting for all results of publicly funded research in Europe,
allowing for proportionate limitations only in duly justified cases of personal data protection,
confidentiality, IPR concerns, national security or similar (e.g. 'as open as possible and as closed
as necessary').
[Skills] The necessary skills and education in research data management, data stewardship and
data science should be provided throughout the EU as part of higher education, the training
system and on-the-job best practice in the industry. University associations, research
organisations, research libraries and other educational brokers play an important role but they
need substantial support from the European Commission and the Member States.
[Data stewardship] Researchers need the support of adequately trained data stewards. The
European Commission and Member States should invest in the education of data stewards via
career programmes delivered by universities, research institutions and other trans-European
agents.
[Rewards and incentives] Rewarding research data sharing is essential. Researchers who make
research data open and FAIR for reuse and/or reuse and reproduce data should be rewarded, both
Ref. Ares(2017)3488418 - 11/07/2017
33. 1/31/2018 35
Support to the Declaration:
Data Culture and FAIR
EOSC-hub
–Provides production-quality FAIR data and
services through the participating Domains
–Ensures data can be used as widely as
possible across scientific disciplines and
between the private and public sector by
• Making core data resources discoverable and accessible
• Federating existing data infrastructures
EUROPEAN COMMISSION
DIRECTORATE-GENERAL FOR RESEARCH & INNOVATION
The Director-General
Brussels, 10 July 2017
EOSC Declaration
RECOGNISING the challenges of data driven research in pursuing excellent science;
GRANTING that the vision of European Open Science is that of a research data commons,
widely inclusive of all disciplines and Member States, sustainable in the long-term,
CONFIRMING that the implementation of the EOSC is a process, not a project, by its nature
iterative and based on constant learning and mutual alignment;
UPHOLDING that the EOSC Summit marked the beginning and not the end of this process,
one based on continuous engagement with scientific stakeholders, the European Commission,
PROPOSES that all EOSC stakeholders consider sharing the following intents and will
actively support their implementation in the respective capacities:
Data culture and FAIR data
[Data culture] European science must be grounded in a common culture of data stewardship, so
that research data is recognised as a significant output of research and is appropriately curated
throughout and after the period conducting the research. Only a considerable cultural change will
enable long-term reuse for science and for innovation of data created by research activities: no
disciplines, institutions or countries must be left behind.
[Open access by-default] All researchers in Europe must enjoy access to an open-by-default,
efficient and cross-disciplinary research data environment supported by FAIR data principles.
Open access must be the default setting for all results of publicly funded research in Europe,
allowing for proportionate limitations only in duly justified cases of personal data protection,
confidentiality, IPR concerns, national security or similar (e.g. 'as open as possible and as closed
as necessary').
[Skills] The necessary skills and education in research data management, data stewardship and
data science should be provided throughout the EU as part of higher education, the training
system and on-the-job best practice in the industry. University associations, research
organisations, research libraries and other educational brokers play an important role but they
need substantial support from the European Commission and the Member States.
[Data stewardship] Researchers need the support of adequately trained data stewards. The
European Commission and Member States should invest in the education of data stewards via
career programmes delivered by universities, research institutions and other trans-European
agents.
[Rewards and incentives] Rewarding research data sharing is essential. Researchers who make
research data open and FAIR for reuse and/or reuse and reproduce data should be rewarded, both
Ref. Ares(2017)3488418 - 11/07/2017
34. 1/31/2018 36
Support to the Declaration:
Research Data Services and Architecture
EOSC-hub
– Realizes a system of EOSC domains
– Delivers the Hub as a delivery channel of
resources and services
– Improves skills and knowledge among researchers
and service operators by delivering specialised
trainings and co-design
EUROPEAN COMMISSION
DIRECTORATE-GENERAL FOR RESEARCH & INNOVATION
The Director-General
Brussels, 10 July 2017
EOSC Declaration
RECOGNISING the challenges of data driven research in pursuing excellent science;
GRANTING that the vision of European Open Science is that of a research data commons,
widely inclusive of all disciplines and Member States, sustainable in the long-term,
CONFIRMING that the implementation of the EOSC is a process, not a project, by its nature
iterative and based on constant learning and mutual alignment;
UPHOLDING that the EOSC Summit marked the beginning and not the end of this process,
one based on continuous engagement with scientific stakeholders, the European Commission,
PROPOSES that all EOSC stakeholders consider sharing the following intents and will
actively support their implementation in the respective capacities:
Data culture and FAIR data
[Data culture] European science must be grounded in a common culture of data stewardship, so
that research data is recognised as a significant output of research and is appropriately curated
throughout and after the period conducting the research. Only a considerable cultural change will
enable long-term reuse for science and for innovation of data created by research activities: no
disciplines, institutions or countries must be left behind.
[Open access by-default] All researchers in Europe must enjoy access to an open-by-default,
efficient and cross-disciplinary research data environment supported by FAIR data principles.
Open access must be the default setting for all results of publicly funded research in Europe,
allowing for proportionate limitations only in duly justified cases of personal data protection,
confidentiality, IPR concerns, national security or similar (e.g. 'as open as possible and as closed
as necessary').
[Skills] The necessary skills and education in research data management, data stewardship and
data science should be provided throughout the EU as part of higher education, the training
system and on-the-job best practice in the industry. University associations, research
organisations, research libraries and other educational brokers play an important role but they
need substantial support from the European Commission and the Member States.
[Data stewardship] Researchers need the support of adequately trained data stewards. The
European Commission and Member States should invest in the education of data stewards via
career programmes delivered by universities, research institutions and other trans-European
agents.
[Rewards and incentives] Rewarding research data sharing is essential. Researchers who make
research data open and FAIR for reuse and/or reuse and reproduce data should be rewarded, both
Ref. Ares(2017)3488418 - 11/07/2017
35. 1/31/2018 37
Summary
EOSC-hub will
–Create and providing the Hub as federated integration
and management system for the future EOSC
–Implement the Hub as open community-lead
framework
–Provide a wide range of services from many major
digital infrastructures and research communities
36. EUDAT Data Domain modeled on the ANDS1 Data Curation Continiuum
1. Australian National Data Service organization – www.ands.org.au
38
o “The EOSC will integrate and consolidate horizontal e-infrastructures.”
37. EOSC-hub Data is FAIR
• Findable
– assign persistent IDs, provide rich metadata, register in a searchable resource...
• Accessible
– Retrievable by their ID using a standard protocol, metadata remain accessible even if data
aren’t...
• Interoperable
– Use formal, broadly applicable languages, use standard vocabularies, qualified references...
• Reusable
– Rich, accurate metadata, clear licences, provenance, use of community standards...
www.force11.org/group/fairgroup/fairprinciples
38.
39. Acknowledgment
• Tiziana Ferrari, EGI Foundation
• Damien Lecarpentier, EUDAT Project Director
• Mikael Linden, CSC
• Tommi Nyrönen, ELIXIR-Finland Head of Node
• TimmoVesala, INAR RI, Helsinki University
31.1.201841