From Digital Platform Architectures to solutions in AgricultureOPEN DEI
OPEN DEI Webinar "The role of the Reference Architectures in Data-oriented Digital Platforms"
28 May 2020
Athanasios Poulakidas (INTRASOFT International)
Hajira Jabeen introduces the Big Data Europe Integrator Platform. The deck also includes the slides use to summarise the other presentations in the launch webinar.
During the tranSMART Annual Meeting 2015, a hackathon will take place for developers to work an a few proof of concepts innovations around tranSMART, also preparing for the future 2.0 version of the platform. There will be two main topics during this hackathon, one catering to backend and one more to frontend developers.
The topics are:
building a POC around using SparkR on Amazon EC2 as a computational backend for tranSMART 1.3
improving the visual analytics in tranSMART, by updating or adding analytics workflows in the SmartR plugin
The reason for choosing these topics are:
For SparkR: Spark is the most active project in data science at the moment, with a lot of innovation and big names behind it. It makes sense to explore how we can optimally leverage this in the next version of the tranSMART platform. For this hackathon, a specific proposal has been prepared to use SparkR on top of the tranSMART core API to take advantage of the parallelization and lazy execution capabilities of Spark.
For Visual Analytics: the analytics in tranSMART are useful to get a quick overview of the data available in the platform, and one of the most visible and useful capabilities for early adopters to understand the value of the platform. The recently developed SmartR plugin (presented elsewhere in the meeting) provides already a few interactive analytics workflows, improving those and adding new ones is identified as a good opportunity for the hackathon.
Ideas for specific analytics workflows to work on are most welcome, and of course we are looking forward to welcome again both beginners and tranSMART developer ninja's in this years' sessions!
From Digital Platform Architectures to solutions in AgricultureOPEN DEI
OPEN DEI Webinar "The role of the Reference Architectures in Data-oriented Digital Platforms"
28 May 2020
Athanasios Poulakidas (INTRASOFT International)
Hajira Jabeen introduces the Big Data Europe Integrator Platform. The deck also includes the slides use to summarise the other presentations in the launch webinar.
During the tranSMART Annual Meeting 2015, a hackathon will take place for developers to work an a few proof of concepts innovations around tranSMART, also preparing for the future 2.0 version of the platform. There will be two main topics during this hackathon, one catering to backend and one more to frontend developers.
The topics are:
building a POC around using SparkR on Amazon EC2 as a computational backend for tranSMART 1.3
improving the visual analytics in tranSMART, by updating or adding analytics workflows in the SmartR plugin
The reason for choosing these topics are:
For SparkR: Spark is the most active project in data science at the moment, with a lot of innovation and big names behind it. It makes sense to explore how we can optimally leverage this in the next version of the tranSMART platform. For this hackathon, a specific proposal has been prepared to use SparkR on top of the tranSMART core API to take advantage of the parallelization and lazy execution capabilities of Spark.
For Visual Analytics: the analytics in tranSMART are useful to get a quick overview of the data available in the platform, and one of the most visible and useful capabilities for early adopters to understand the value of the platform. The recently developed SmartR plugin (presented elsewhere in the meeting) provides already a few interactive analytics workflows, improving those and adding new ones is identified as a good opportunity for the hackathon.
Ideas for specific analytics workflows to work on are most welcome, and of course we are looking forward to welcome again both beginners and tranSMART developer ninja's in this years' sessions!
Jens Lehmann's overview of the use of semantics in the Big Data Europe Integrator Platform. Including the Semantic Data Lake (Ontario), and the SANSA Analytics Engine.
BDE-BDVA Webinar: BigDataEurope Overview & Synergies with BDVABigData_Europe
Short outline of the project's mission and current status & summary of the identified synergies between BDVA and the project, included those at a technical level.
A project overview presented by Sergej Svorobej (Dublin City University) on March 10, 2017.
RECAP is a €4.6million EU-funded project to develop the next generation of cloud, edge and fog computing capacity provisioning via targeted research advances in cloud infrastructure optimisation, simulation and automation.
Delivered by Bob Jones of CERN at the Cloud Computing Research Innovation Challenges for WP 2018-2020 Workshop on November 7th, 2016, in Brussels, Belgium.
During the tranSMART Annual Meeting 2015, Kees van Bochove, chair of the tranSMART Foundation Architecture Working Group, presented on current tranSMART development highlights, which illustrate how the tranSMART core database layer and APIs enables a range of varying translational research applications.
TANGO Project is a new initiative undartaken by a group of european organizations and institutions to fullfil one purpose: Simplify the way developers approach the development of next-generation applications based in heterogeneous hardware architectures, configurations and software systems including heterogeneous clusters, chips and programmable logic devices.
TANGO Project is a new initiative undartaken by a group of european organizations and institutions to fullfil one purpose: Simplify the way developers approach the development of next-generation applications based in heterogeneous hardware architectures, configurations and software systems including heterogeneous clusters, chips and programmable logic devices.
Towards a Resource Slice Interoperability Hub for IoTHong-Linh Truong
Interoperability for IoT is a challenging problem
because it requires us to tackle (i) cross-system interoperability
issues at the IoT platform sides as well as relevant network
functions and clouds in the edge systems and data centers
and (ii) cross-layer interoperability, e.g., w.r.t. data formats,
communication protocols, data delivery mechanisms, and perfor-
mance. However, existing solutions are quite static w.r.t software
deployment and provisioning for interoperability. Many middle-
ware, services and platforms have been built and deployed as
interoperability bridges but they are not dynamically provisioned
and reconfigured for interoperability at runtime. Furthermore,
they are often not considered together with other services as a
whole in application-specific contexts. In this paper, we focus
on dynamic aspects by introducing the concept of Resource
Slice Interoperability Hub (rsiHub). Our approach leverages
existing software artifacts and services for interoperability to
create and provision dynamic resource slices, including IoT,
network functions and clouds, for addressing application-specific
interoperability requirements. We will present our key concepts,
architectures and examples toward the realization of rsiHub.
Bhadale group of companies projects portfolio - This is a list of public shareable projects for the past 10 years.Technologies used are AI / ML, Scala , Spark, Akka, Play, IoT, Hadoop, React, Javascript and several other related ones
Jens Lehmann's overview of the use of semantics in the Big Data Europe Integrator Platform. Including the Semantic Data Lake (Ontario), and the SANSA Analytics Engine.
BDE-BDVA Webinar: BigDataEurope Overview & Synergies with BDVABigData_Europe
Short outline of the project's mission and current status & summary of the identified synergies between BDVA and the project, included those at a technical level.
A project overview presented by Sergej Svorobej (Dublin City University) on March 10, 2017.
RECAP is a €4.6million EU-funded project to develop the next generation of cloud, edge and fog computing capacity provisioning via targeted research advances in cloud infrastructure optimisation, simulation and automation.
Delivered by Bob Jones of CERN at the Cloud Computing Research Innovation Challenges for WP 2018-2020 Workshop on November 7th, 2016, in Brussels, Belgium.
During the tranSMART Annual Meeting 2015, Kees van Bochove, chair of the tranSMART Foundation Architecture Working Group, presented on current tranSMART development highlights, which illustrate how the tranSMART core database layer and APIs enables a range of varying translational research applications.
TANGO Project is a new initiative undartaken by a group of european organizations and institutions to fullfil one purpose: Simplify the way developers approach the development of next-generation applications based in heterogeneous hardware architectures, configurations and software systems including heterogeneous clusters, chips and programmable logic devices.
TANGO Project is a new initiative undartaken by a group of european organizations and institutions to fullfil one purpose: Simplify the way developers approach the development of next-generation applications based in heterogeneous hardware architectures, configurations and software systems including heterogeneous clusters, chips and programmable logic devices.
Towards a Resource Slice Interoperability Hub for IoTHong-Linh Truong
Interoperability for IoT is a challenging problem
because it requires us to tackle (i) cross-system interoperability
issues at the IoT platform sides as well as relevant network
functions and clouds in the edge systems and data centers
and (ii) cross-layer interoperability, e.g., w.r.t. data formats,
communication protocols, data delivery mechanisms, and perfor-
mance. However, existing solutions are quite static w.r.t software
deployment and provisioning for interoperability. Many middle-
ware, services and platforms have been built and deployed as
interoperability bridges but they are not dynamically provisioned
and reconfigured for interoperability at runtime. Furthermore,
they are often not considered together with other services as a
whole in application-specific contexts. In this paper, we focus
on dynamic aspects by introducing the concept of Resource
Slice Interoperability Hub (rsiHub). Our approach leverages
existing software artifacts and services for interoperability to
create and provision dynamic resource slices, including IoT,
network functions and clouds, for addressing application-specific
interoperability requirements. We will present our key concepts,
architectures and examples toward the realization of rsiHub.
Bhadale group of companies projects portfolio - This is a list of public shareable projects for the past 10 years.Technologies used are AI / ML, Scala , Spark, Akka, Play, IoT, Hadoop, React, Javascript and several other related ones
Data science holds tremendous potential for organizations to uncover new insights and drivers of revenue and profitability. Big Data has brought the promise of doing data science at scale to enterprises, however this promise also comes with challenges for data scientists to continuously learn and collaborate. Data Scientists have many tools at their disposal such as notebooks like Juypter and Apache Zeppelin & IDEs such as RStudio with languages like R, Python, Scala and frameworks like Apache Spark. Given all the choices how do you best collaborate to build your model and then work through the development lifecycle to deploy it from test into production ?
In this session learn the attributes of a modern data science platform that empowers data scientists to build models using all the data in their data lake and foster continuous learning and collaboration. We will show a demo of DSX with HDP with the focus on integration, security and model deployment and management.
Speakers:
Sriram Srinivasan, Senior Technical Staff Member, Analytics Platform Architect, IBM
Vikram Murali, Program Director, Data Science and Machine Learning, IBM
The Rise of Big Data Governance: Insight on this Emerging Trend from Active O...DataWorks Summit
Each of today’s most forward-thinking enterprises have been forced to face similar data challenges: the reliance on real-time data to better serve their customers and, subsequently, the requirement of complying with regulations to protect that data – one example being the General Data Protection Regulation (GDPR).
The solution to this emerging challenge is a tricky one – for companies like ING, this data governance challenge has been met with metadata, a consistent view across a large heterogeneous ecosystem and collaboration with an active open source community.
This joint presentation, John Mertic – director of program management for ODPi – and Ferd Scheepers – Global Chief Information Architect of ING – will address the benefits of a vendor-neutral approach to data governance, the need for an open metadata standard, along with insight around how companies ING, IBM, Hortonworks and more are delivering solutions to this challenge as an open source initiative.
Speakers
John Mertic, Director of Program Management for ODPi, R Consortium, and Open Mainframe Project, The Linux Foundation
Maryna Strelchuk, Information Architect, ING
Virtualisation de données : Enjeux, Usages & BénéficesDenodo
Watch full webinar here: https://bit.ly/3oah4ng
Gartner a récemment qualifié la Data Virtualisation comme étant une pièce maitresse des architectures d’intégration de données.
Découvrez :
- Les bénéfices d’une plateforme de virtualisation de données
- La multiplication des usages : Lakehouse, Data Science, Big Data, Data Service & IoT
- La création d’une vue unifiée de votre patrimoine de données sans transiger sur la performance
- La construction d’une architecture d’intégration Agile des données : on-premise, dans le cloud ou hybride
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...Denodo
Watch full webinar here: https://buff.ly/46pRfV7
This Denodo session explores the power of data virtualization, shedding light on its architecture, customer value, and a diverse range of use cases. Attendees will discover how the Denodo Platform enables seamless connectivity to various data sources while effortlessly combining, cleansing, and delivering data through 5 differentiated use cases.
Architecture: Delve into the core architecture of the Denodo Platform and learn how it empowers organizations to create a unified virtual data layer. Understand how data is accessed, integrated, and delivered in a real-time, agile manner.
Value for the Customer: Explore the tangible benefits that Denodo offers to its customers. From cost savings to improved decision-making, discover how the Denodo Platform helps organizations derive maximum value from their data assets.
Five Different Use Cases: Uncover five real-world use cases where Denodo's data virtualization platform has made a significant impact. From data governance to analytics, Denodo proves its versatility across a variety of domains.
- Logical Data Fabric
- Self Service Analytics
- Data Governance
- 360 degree of Entities
- Hybrid/Multi-Cloud Integration
Watch this illuminating session to gain insights into the transformative capabilities of the Denodo Platform.
How to reinvent your organization in an iterative and pragmatic way? This is the result of using our digital toolbox. It allows you to transform your business model, expand your ecosystem by setting up your digital platform. This reinvention is also supported by the adaptation of your governance allowing you to innovate while guaranteeing the performance of your organization. For any information / suggestion / collaboration - william.poos@nrb.be
Comment réinventer votre organisation de manière itérative et pragmatique ? C'est le résultat de l'utilisation de notre boîte à outils digitale. Elle vous permet de transformer votre modèle métier, d'étendre votre écosystème en mettant en place votre plateforme digitale. Cette réinvention est également supportée par l'adaptation de votre gouvernance vous permettant d'innover tout en garantissant la performance de votre organisation. Pour toute information / suggestion / collaboration - william.poos@nrb.be
ODSC East 2020 Accelerate ML Lifecycle with Kubernetes and Containerized Da...Abhinav Joshi
This deck provide an overview of containers and Kubernetes, and how these technologies can help solve the challenges faced by data scientists, ML engineers, and application developers. Next, it showcases the key capabilities required in a containers and kubernetes platform to help data scientists easily use technologies like Jupyter Notebooks, ML frameworks, programming languages to innovate faster. Finally it discusses the available platform options (e.g. KubeFlow, Open Data Hub, etc.), and some examples of how data scientists are accelerating their ML initiatives with containers and kubernetes platform.
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...Denodo
Watch full webinar here: https://bit.ly/3g9PlQP
It is no news that Oil and Gas companies are constantly faced with immense pressure to stay competitive, especially in the current climate while striving towards becoming data-driven at the heart of the process to scale and gain greater operational efficiencies across the organization.
Hence, the need for a logical data layer to help Oil and Gas businesses move towards a unified secure and governed environment to optimize the potential of data assets across the enterprise efficiently and deliver real-time insights.
Tune in to this on-demand webinar where you will:
- Discover the role of data fabrics and Industry 4.0 in enabling smart fields
- Understand how to connect data assets and the associated value chain to high impact domain areas
- See examples of organizations accelerating time-to-value and reducing NPT
- Learn best practices for handling real-time/streaming/IoT data for analytical and operational use cases
Top 10 Data analytics tools to look for in 2021Mobcoder
This write-up has surrounded the top 10 tools used by data analysts, architects, scientists, and other professionals. Each tool has some specific feature that makes it an ideal fit for a specific task. So choose wisely depending on your business need, type of data, the volume of information, experience in analytical thinking.
Watch full webinar here: https://bit.ly/2vN59VK
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
- What data virtualization really is.
- How it differs from other enterprise data integration technologies.
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations.
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3joZa0a
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
Watch this session to understand:
- What is a logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
- Customer use case depicting logical architecture implementation
Similar to Open DMPs: Machine Actionable open data management planning (Presentation at RDA 11th plenary) (20)
OpenAIRE Content Providers Community Call, November 4th, 2020
This call was focused on the PROVIDE future developments, functionalities wishlist and PROVIDE service in EOSC.
Was also an opportunity to share the most recent updates and novelties in the OpenAIRE Content Provider Dashboard, and to get feedback from community.
Recordings: https://youtu.be/wY4fOS767Us
Follow the Community activities at https://www.openaire.eu/provide-community-calls
OpenAIRE in the European Open Science Cloud (EOSC)OpenAIRE
Openness is the success factor for EOSC. OpenAIRE has been working in delivering an open access scholarly communication in Europe for the past 10 years and we now present how our work fits into the EOSC core developments
OpenAIRE Content Providers Community Call, October 7th, 2020
This call was focused on the OpenAIRE Broker Service, specifying how the service works to deploy the enrichment events to the Content Providers managers.
Was also an opportunity to share the most recent updates and novelties in the OpenAIRE Content Provider Dashboard, and to get feedback from community.
Recording: https://youtu.be/3sF4B58EGcs
Follow the Community activities at https://www.openaire.eu/provide-community-calls
OpenAIRE Content Providers Community Call, July 1st, 2020
This call was focused on Data Repositories namely the OpenAIRE Research Graph and Data Repositories, the OpenAIRE Content Acquisition Policy, and the Guidelines for Data Archive Managers.
Was also an opportunity to share the most recent updates and novelties in the OpenAIRE Content Provider Dashboard, and to get feedback from community.
Follow the Community activities at https://www.openaire.eu/provide-community-calls
OpenAIRE Content Providers Community Call. May 6th, 2020.
This Call focused the presentation of the new User Interface of Provide Dashboard and the presentation of 4 use cases using the Provide service.
Was also an opportunity to share the most recent updates and novelties in the OpenAIRE Content Provider Dashboard, and to get feedback from community.
Recording available here: https://youtu.be/J4m_ryRxtnY
20200504_OpenAIRE Legal Policy Webinar: GDPR and Sharing DataOpenAIRE
Presentation by Jacques Flores Dourojeanni (Research Data Management Consultant Utrecht University Library), as delivered during the OpenAIRE Legal Policy Webinar series on May 4th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200504_Research Data & the GDPR: How Open is Open?OpenAIRE
Presentation by Prodromos Tsiavos (Senior Legal Advisor - ARC/ Director - Onassis Group) as delivered during the OpenAIRE Legal Policy Webinar series on May 4th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200504_Data, Data Ownership and Open ScienceOpenAIRE
Presentation by Thomas Margoni (Senior Lecturer in Intellectual Property and Internet Law, Co-director, CREATe, University of Glasgow) as delivered during the OpenAIRE Legal Policy Webinar series on May 4th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200429_Research Data & the GDPR: How Open is Open? (updated version)OpenAIRE
Presentation by Prodromos Tsiavos (Senior Legal Advisor - ARC/ Director - Onassis Group) as delivered during the OpenAIRE Legal Policy Webinar series on April 29th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200429_Data, Data Ownership and Open ScienceOpenAIRE
Presentation by Thomas Margoni (Senior Lecturer in Intellectual Property and Internet Law, Co-director, CREATe, University of Glasgow) as delivered during the OpenAIRE Legal Policy Webinar series on April 29th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200429_OpenAIRE Legal Policy Webinar: GDPR and Sharing DataOpenAIRE
Presentation by Jacques Flores Dourojeanni (Research Data Management Consultant Utrecht University Library), as delivered during the OpenAIRE Legal Policy Webinar series on April 29th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
COVID-19: Activities, tools, best practice and contact points in GreeceOpenAIRE
Presentation from the webinar organized by the Greek OpenAIRE and RDA Nodes (Athena RC) and Elixir-GR to inform participants of EU and national efforts, in collaboration with the following research organizations: Flemming, CERTH, HEAL-Link, Demokritos, Univ. of Athens (Medical School).
Presentation of the 2nd Content Providers Community Call, targeting the following topics: 1) OpenAIRE Content provider dashboard updates; Main topic: DSpace-CRIS for OpenAIRE: implementation of the CRIS guidelines and beyond; 3) Community questions & comments.
Presentation of the 2nd Content Providers Community Call, targeting the following topics: 1) OpenAIRE Content provider dashboard updates;
2) OpenAIRE aggregation and enrichment processes: specifications and good practices;
3) Community questions & comments.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Open DMPs: Machine Actionable open data management planning (Presentation at RDA 11th plenary)
1. @openaire_euRDA 11th plenary | Berlin | 21st March 2018
OpenDMPS
Machine actionable open data management planning
Natalia Manola
AthenaResearchandInnovation Center
George Kakaletris
AthenaResearchandInnovation Center
CITE
2. • Jointly designed & developed by OpenAIRE
& EUDAT
Core: OpenAIRE
EEStore: EUDAT
• Consists of several interconnected
elements that operate as loosely coupled
reusable software / services
Architecture
RDA 11th plenary | Berlin | 21st March 2018
Architecture
DMPCore
DMPService:Coretoolsforediting,managementandadministrationof
DMPs/Datasetdescriptions.
DMPUI:End-userUIforeditingDMPsandDatasetdescriptions
DMPAdminUI:AdministrativeUIanddatasetprofiledefinitionUI
EEStore:bridgetovariousproviders ofdataforthe
OpenDMPS
Corebridgecomponent
Severaladaptersforexternalproviders
Launched implementation Aug 2017
Now: testing phase of core services
Monthly releases
3. • Flexible data model that may support a large range of DMP schemata
Domain discipline data profiles
Currently verified for H2020 – template is provided
• Open architecture for integrating external information providers to the DMP
entities
EEstore abstracts over the behavior and performance of external providers
• Supporting a preliminary machine readable DMP export
currently proprietary format to adopt RDA recommendation
• Designed for interoperability with data repositories, registries and other
dataset handling services
depositing and verification of dataset(s) and DMP(s)
• REST API for utilization of core components
Powering interoperability
RDA 11th plenary | Berlin | 21st March 2018
4. Data model basics
OpenAIRE operation and services at a glance
Key features
Few structural data model entities
Repositories
Registries
Services
Researchers
Datasets / External datasets
Etc.
Self sustained, yet linked
Allows caching referenced key data on the modelShifting from funder template
to
data profile as a central entity