Towards a joint service catalogue for e-infrastructure services

Similar documents
EUDAT B2FIND A Cross-Discipline Metadata Service and Discovery Portal

EUDAT-B2FIND A FAIR and Interdisciplinary Discovery Portal for Research Data

EUDAT Towards a Collaborative Data Infrastructure

GeoDCAT-AP Representing geographic metadata by using the "DCAT application profile for data portals in Europe"

Linda Strick Fraunhofer FOKUS. EOSC Summit - Rules of Participation Workshop, Brussels 11th June 2018

The European Commission s science and knowledge service. Joint Research Centre

Why CERIF? Keith G Jeffery Scientific Coordinator ERCIM Anne Assserson eurocris. Keith G Jeffery SDSVoc Workshop Amsterdam

For each use case, the business need, usage scenario and derived requirements are stated. 1.1 USE CASE 1: EXPLORE AND SEARCH FOR SEMANTIC ASSESTS

EUDAT. A European Collaborative Data Infrastructure. Daan Broeder The Language Archive MPI for Psycholinguistics CLARIN, DASISH, EUDAT

INSPIRE & Environment Data in the EU

EUDAT. Towards a pan-european Collaborative Data Infrastructure. Damien Lecarpentier CSC-IT Center for Science, Finland EUDAT User Forum, Barcelona

The EUDAT Collaborative Data Infrastructure

Inge Van Nieuwerburgh OpenAIRE NOAD Belgium. Tools&Services. OpenAIRE EUDAT. can be reused under the CC BY license

Part 2: Current State of OAR Interoperability. Towards Repository Interoperability Berlin 10 Workshop 6 November 2012

INSPIRE overview and possible applications for IED and E-PRTR e- Reporting Alexander Kotsev

Coupled Computing and Data Analytics to support Science EGI Viewpoint Yannick Legré, EGI.eu Director

ESFRI WORKSHOP ON RIs AND EOSC

Towards FAIRness: some reflections from an Earth Science perspective

Robin Wilson Director. Digital Identifiers Metadata Services

Using DCAT-AP for research data

EUDAT & SeaDataCloud

Data driven transformation of the public sector Tallinn, Estonia Head of unit 22 September 2016 European Commission

Long-term preservation for INSPIRE: a metadata framework and geo-portal implementation

EUDAT- Towards a Global Collaborative Data Infrastructure

European Cloud Initiative: implementation status. Augusto BURGUEÑO ARJONA European Commission DG CNECT Unit C1: e-infrastructure and Science Cloud

Specific requirements on the da ra metadata schema

Detailed analysis + Integration plan

FREYA Connected Open Identifiers for Discovery, Access and Use of Research Resources

PERSISTENT IDENTIFIERS FOR THE UK: SOCIAL AND ECONOMIC DATA

Data Discovery - Introduction

ISO 2146 INTERNATIONAL STANDARD. Information and documentation Registry services for libraries and related organizations

EUDAT Data Services & Tools for Researchers and Communities. Dr. Per Öster Director, Research Infrastructures CSC IT Center for Science Ltd

EGI federated e-infrastructure, a building block for the Open Science Commons

DOIs for Research Data

eresearch Collaboration across the Pacific:

re3data.org - Making research data repositories visible and discoverable

Deliverable 6.4. Initial Data Management Plan. RINGO (GA no ) PUBLIC; R. Readiness of ICOS for Necessities of integrated Global Observations

Poland - e-infrastructure ecosystem and relation to EOSC

Reducing Consumer Uncertainty

EGI Strategy Enabling collaborative data- and compute-intensive science

Data and visualization

Open Science Commons: A Participatory Model for the Open Science Cloud

Design & Manage Persistent URIs

Data Management Plans. Sarah Jones Digital Curation Centre, Glasgow

European Interoperability Reference Architecture (EIRA) overview

Metadata for Data Discovery: The NERC Data Catalogue Service. Steve Donegan

EUDAT. Towards a pan-european Collaborative Data Infrastructure - A Nordic Perspective? -

EUDAT. Towards a pan-european Collaborative Data Infrastructure

Science Europe Consultation on Research Data Management

European Open Science Cloud

SWIM Standards Evolution Workshop

Introduction to INEXDA s Metadata Schema

United States Government Cloud Standards Perspectives

Promoting semantic interoperability between public administrations in Europe

Mercè Crosas, Ph.D. Chief Data Science and Technology Officer Institute for Quantitative Social Science (IQSS) Harvard

Dutch View on URN:NBN and Related PID Services

Data Warehousing Fundamentals by Mark Peco

Striving for efficiency

Centre of Excellence in PM 2 (CoEPM 2 )

Assessing the FAIRness of Datasets in Trustworthy Digital Repositories: a 5 star scale

EUDAT - Open Data Services for Research

Infrastructure for Spatial Information in Europe. Proposed action for update of MIWP: Alternative encodings for INSPIRE data

Supporting European e-infrastructure service providers to join the European Open Science Cloud

European Open Science Cloud Implementation roadmap: translating the vision into practice. September 2018

Key Elements of Global Data Infrastructures

Dataset Documentation Reference Guide for Pure Users

Fundamentals of Data Infrastructures

Research Data Repository Interoperability Primer

1. CONCEPTUAL MODEL 1.1 DOMAIN MODEL 1.2 UML DIAGRAM

FAIR-aligned Scientific Repositories: Essential Infrastructure for Open and FAIR Data

Global Reference Architecture: Overview of National Standards. Michael Jacobson, SEARCH Diane Graski, NCSC Oct. 3, 2013 Arizona ewarrants

Perspectives on Open Data in Science Open Data in Science: Challenges & Opportunities for Europe

The emerging EU certification framework: A role for ENISA Dr. Andreas Mitrakas Head of Unit EU Certification Framework Conference Brussels 01/03/18

Metadata Management in the FAO Statistics Division (ESS) Overview of the FAOSTAT / CountrySTAT approach by Julia Stone

GEOSS Data Management Principles: Importance and Implementation

RADAR. Establishing a generic Research Data Repository: RESEARCH DATA REPOSITORY. Dr. Angelina Kraft

EUDAT. Towards a pan-european Collaborative Data Infrastructure

Reviewing Aspects of User Orientated Quality Reporting

The GIGAS Methodology

Persistent Identifier the data publishing perspective. Sünje Dallmeier-Tiessen, CERN 1

Welcome to the Pure International Conference. Jill Lindmeier HR, Brand and Event Manager Oct 31, 2018

EU Liaison Update. General Assembly. Matthew Scott & Edit Herczog. Reference : GA(18)021. Trondheim. 14 June 2018

The DOI Identifier. Drexel University. From the SelectedWorks of James Gross. James Gross, Drexel University. June 4, 2012

Helix Nebula The Science Cloud

European Interoperability Framework

The Research Data Alliance (RDA): building global data connections CC BY-SA 4.0

«Prompting an EOSC in Practice»

Persistent identifiers, long-term access and the DiVA preservation strategy

Conferenza GARR Moving Forward to deliver an «EOSC in Practice» by 2018

EUDAT. Towards a Collaborative Data Infrastructure. Ari Lukkarinen CSC-IT Center for Science, Finland NORDUnet 2012 Oslo, 18 August 2012

University of Bath. Publication date: Document Version Publisher's PDF, also known as Version of record. Link to publication

SNIA/DMTF Work Register. Version 1.4

Data Staging and Data Movement with EUDAT. Course Introduction Helsinki 10 th -12 th September, Course Timetable TODAY

Geographical Base Registries for Flanders

Reducing Consumer Uncertainty Towards a Vocabulary for User-centric Geospatial Metadata

Metadata Overview: digital repositories

Consolidation Team INSPIRE Annex I data specifications testing Call for Participation

Europe and its Open Science Cloud: the Italian perspective. Luciano Gaido Plan-E meeting, Poznan, April

INSPIRE status report

case study The Asset Description Metadata Schema (ADMS) A common vocabulary to publish semantic interoperability assets on the Web July 2011

Transcription:

Towards a joint service catalogue for e-infrastructure services Dr British Library 1 DI4R 2016 Workshop Joint service catalogue for research 29 September 2016 15/09/15

Goal A framework for creating a Catalogue of s (CoS) Primarily intended for e-infrastructure services Framework: Used to specify and implement a concrete catalogue not a catalogue itself does not list or describe services http://bit.ly/1nk0jca 2

Benefits Inform service users Make services findable Enable determining the services relevance Identify overlapping efforts or gaps in the catalogued service landscape Assist service providers Provide shared language for service descriptions Resulting in interoperable project-local service descriptions Provide competitive advantage by being able to show your products 3

Methodology Exploratory information coverage vs. maintainability Reusing existing conceptualisations: FitSM ISO 20000 : requirements for an information technology service management (ITSM) system UK Government Design Manual Validated with examples from projects THOR, EGI, EUDAT, GEANT, OpenAIRE, BlueBridge Implementation independent 4

Result http://bit.ly/1nk0jca 5

attributes condition Payment model User group Terms of use function Customer group SLA Value name ID phase descrip tion type webpage area contact provider 6

attributes Term Definition Notes name Name of a specific service as assigned by the service provider Source: FitSM template for service portfolio Format: Free text ID Global unique and persistent identifier of a specific service Format: DOI or any other relevant standard; it should contain information about the identifier type and value. Additional info: A PID can be used ideally resolvable to a landing page or a machine readable data typed metadata page. It should be assigned by the CoS owner. description 7 High-level description of Format: Free text what the service does in Additional info: terms of functionalities it It may provide also information related to the offered provides and the capacity, number of installations, underlying data that is resources it enables offered

Validation name Object storage Cloud compute Assign persistent identifier Metadata store 8 ID https://www.datacite https://www.datacite webpage.org/.org/ EGI EGI DataCite DataCite provider support@egi.eu support@egi.eu https://www.datacite https://www.datacite contact.org/contact.org/contact description Store and retrieve unstructured data as objects via a uniform/standard interface. Most object stores allow attaching metadata to objects, and Run virtual machines of your choice on high quality IT resources accessible via a uniform interface from multiple service providers A service to assign persistent identifiers to data sets backed-up by a governance structure A metadata management service to for maintaining descriptive metadata associated with datasets.

(1) A service supports defined functions for defined purposes for defined stakeholders under defined conditions available from a provider Key attributes are captured in the framework s conceptual model 9

(2) 10 area taken from the IT life-cycle: low to high-level functions across IT functions vocabulary customised to the CoS Data & Information Training / Consulting / Policy Distributing/ Sharing/ Collaborating Visualisation Publication Access Discovery Analysis Applications Authorization/ Authentication PID Identification Networking Hosting Computing Data Management & Preservation Storage

(3) From a customer perspective Not Project That produce a service One project can offer multiple services Specific software / tool The product that implements and provides the service A service can be implemented through multiple software solutions Level Agreements (SLA) Several different SLAs can be associated with a service 11

(4) The CoS should Inform, not market Capture service abstractions, not service instances Capture live services and pre- and post-production services 12

CoS and service providers Not necessarily owned and maintained by service providers a current and prospective service provider (ESFRI RIs, e-infrastructures, VRE projects ) a funding agency a research community s from multiple service providers High level, core information about the service detailed information at the service provider s website 13

How to use the framework: Tailor Tailor the framework to requirements of specific CoS State requirements and policies explicitly Framework = range of relevant concepts that describe a generic CoS The most likely concepts to be desirable for a CoS instance Detail determined by the creator of the CoS instance 14

How to use the framework: Adopt Adopt fields dependent on Purpose E.g. Is cost/benefit information needed by the user? Stakeholder target groups E.g. owners, managers, customers, users E.g. domain / research area E.g. organisation types Policies : vary for service types, departments, organisations, sectors, regions Systems context : able to obtain and maintain information 15

How to use the framework: Add Add Data types : permissible values Controlled vocabularies for each field Applicability and obligation, under what conditions 16

How to use the framework: Extend Extend the general framework additional information needed depending on scope and types of services domain-specific information technical detail more specific / granular information 17

How to use the framework: Constrain Define constraints for use of CoS the geographic scope such as organisational, regional, European the nature of the included services such as training, IT services, consultancy other constraints such as who funded the service size, style and format limitations for text resulting in homogeneous presentation useful and comparable content 18

How to use the framework: Governance Agree on maintenance and update policy Agree on granularity of description to ensure comparability 19