SlideShare a Scribd company logo
3TU.Datacentrum
  Tuesday, June 12th 2012
     Jeroen Rombouts
3TU.Datacentrum = …
• 3 Dutch TU’s: Delft, Eindhoven, Twente
• Project 2008-2011, going concern 2012-
• Data archive
  –   2008 -
  –   “finished” data
  –   preserve but do not forget usability
  –   data citation information (incl. DataCite DOI’s)
• Data labs
  – Started (hosting)
  – Unfinished data + software/scripts
Website & Data-archive
                                •   http://datacentrum.3tu.nl
                                •   Information
                                    News, announcements
                                    Publications, links and
                                    tutorials




•   http://data.3tu.nl
•   Data sets download and
    ‘management’
•   ‘Use’ data with Google
    Maps/Earth, OPeNDAP, …
Data archiving options

•   ‘Simple’ sets (Do It Yourself)
    Standard (self)upload form and descriptive information, single file
    per object (can be a ‘zipped’ collection), single DOI, …

    E.g.: Zandvliet, H.J.W. et al. (2010): Diffusion driven concerted
    motion of surface atoms: Ge on Ge(001). MESA+ Institute For
    Nanotechnology, University of Twente.
    doi:10.4121/uuid:3f71549c-6097-4bb8-bc00-6db77deb161d

•   Special collections (Do It Together)
    Negotiate: deposit procedure, description (xml, picture, preview),
    data model, level of DOI assignment, query online, …

    E.g.: Otto, T., Russchenberg, H.W.J. (2010): IDRA weather radar
    measurements - all data. TU Delft - Delft University of
    Technology.
    doi:10.4121/uuid:5f3bcaa2-a456-4a66-a67b-1eec928cae6d
Meta data ‘publication’

• Meta data in DataCite Meta Data Store
  https://mds.datacite.org

• Meta data harvestable (OAI-PMH) (CC0)
  NARCIS (www.narcis.nl), …?

• Crawlable (OAI-ORE linked data) (CC0)
  PRIMO (soon…)

• Open to search engine bots
Training & Data-labs
                                  •   http://dataintelligence.3tu.nl
                                  •   Reference, News & Events
                                      for training library staff.




•   OpenEarth, SHARE,
    …?
Experience

• Front office
  – Being (physically) close helps building trust
  – Huge ‘disciplinary’ (individual) differences in openness and data
    management level
  – Need more than a few (trained) people

• Back office
  – Wide array of skills required (legal, it,
    management, digital curation,
    research tools, training, …)
  – Trade-off between long term preservation
    and (re-)use
  – Balancing generic and discipline specific

• Data labs
  – Value for acquisition and standardization
TYFYTAA
What our accountmanagers ‘sell’…

The benefits for data producers and data consumers
 • Increased visibility of research output.
   (metadata in repository networks, assigning doi’s, facilitate
   increases citation rate for ‘enhanced publications’, ...);
 • Improved quality of dataset (quality assurance for multi-
   user setup, checks on ingest, …);
 • Provide (long-term) preservation of and accessibility to,
   valuable research data;
 • Distribution of research data for reuse, including
 administration
   and usage statistics;
 • Provides advice on data management, rights, formats,
   metadata, etc.
What do data producers say? 1/2


                     Only for long term     Datasets are
                                             stored by
                     continuous data
       No time!                              publisher




                                           Our research is
                                             once only
Interesting but
  not for me




Nobody needs my
     data                                  Our datasets are
                     Data transfer not       confidential
                  needed, every PhD does
                       own project
What do data producers say? 2/2


                           Very usefull, essential
        When can I store   metadata often missing
         my datasets?                                  Much to improve
                                                      in reuse of data



Good opportunity to
 share datasets we
      bought

                                                           Would like to
                                                           publish data
      Surprising our
     university had no
                            Transfer of data between
     faciltity for data
                             PhD’s can be improved
       preservation

More Related Content

What's hot

Dataset Citation and Identification
Dataset Citation and IdentificationDataset Citation and Identification
Dataset Citation and Identification
guest453b14
 
Real-World Data Challenges: Moving Towards Richer Data Ecosystems
Real-World Data Challenges: Moving Towards Richer Data EcosystemsReal-World Data Challenges: Moving Towards Richer Data Ecosystems
Real-World Data Challenges: Moving Towards Richer Data Ecosystems
Anita de Waard
 
HathiTrust Research Center Secure Commons
HathiTrust Research Center Secure CommonsHathiTrust Research Center Secure Commons
HathiTrust Research Center Secure Commons
Beth Plale
 
HathiTrust Research Center Data Capsule Overview 09.10.14
HathiTrust Research Center Data Capsule Overview 09.10.14HathiTrust Research Center Data Capsule Overview 09.10.14
HathiTrust Research Center Data Capsule Overview 09.10.14
Robert H. McDonald
 
Research Data Management: What is it and why is the Library & Archives Servic...
Research Data Management: What is it and why is the Library & Archives Servic...Research Data Management: What is it and why is the Library & Archives Servic...
Research Data Management: What is it and why is the Library & Archives Servic...
GarethKnight
 
Executive Summary - Data Management Hub
Executive Summary - Data Management HubExecutive Summary - Data Management Hub
Executive Summary - Data Management HubDenis Parfenov
 
Research Data Management: Approaches to Institutional Policy
Research Data Management: Approaches to Institutional PolicyResearch Data Management: Approaches to Institutional Policy
Research Data Management: Approaches to Institutional Policy
Robin Rice
 
DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?
DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?
DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?
Incremental Project
 
Research Data (and Software) Management at Imperial: (Everything you need to ...
Research Data (and Software) Management at Imperial: (Everything you need to ...Research Data (and Software) Management at Imperial: (Everything you need to ...
Research Data (and Software) Management at Imperial: (Everything you need to ...
Sarah Anna Stewart
 
A basic course on Research data management: part 1 - part 4
A basic course on Research data management: part 1 - part 4A basic course on Research data management: part 1 - part 4
A basic course on Research data management: part 1 - part 4
Leon Osinski
 
Data Management Planning
Data Management PlanningData Management Planning
Data Management Planning
Sarah Jones
 
Empowering Transformational Science
Empowering Transformational ScienceEmpowering Transformational Science
Empowering Transformational Science
Chelle Gentemann
 
Providing support and services for researchers in good data governance
Providing support and services for researchers in good data governanceProviding support and services for researchers in good data governance
Providing support and services for researchers in good data governance
Robin Rice
 
Research data management : Open Research Data pilot, data management (plans),...
Research data management : Open Research Data pilot, data management (plans),...Research data management : Open Research Data pilot, data management (plans),...
Research data management : Open Research Data pilot, data management (plans),...
Leon Osinski
 
Introduction to Research Data Management - 2015-02-09 - MPLS Division, Univer...
Introduction to Research Data Management - 2015-02-09 - MPLS Division, Univer...Introduction to Research Data Management - 2015-02-09 - MPLS Division, Univer...
Introduction to Research Data Management - 2015-02-09 - MPLS Division, Univer...
Research Support Team, IT Services, University of Oxford
 
Cuna Ekmekcioglu (University of Edinburgh) - “Engaging academic support libra...
Cuna Ekmekcioglu (University of Edinburgh) - “Engaging academic support libra...Cuna Ekmekcioglu (University of Edinburgh) - “Engaging academic support libra...
Cuna Ekmekcioglu (University of Edinburgh) - “Engaging academic support libra...
ARLGSW
 
The Donders Repository
The Donders RepositoryThe Donders Repository
The Donders Repository
Robert Oostenveld
 
Preparing Your Research Data for the Future - 2015-06-08 - Medical Sciences D...
Preparing Your Research Data for the Future - 2015-06-08 - Medical Sciences D...Preparing Your Research Data for the Future - 2015-06-08 - Medical Sciences D...
Preparing Your Research Data for the Future - 2015-06-08 - Medical Sciences D...
Research Support Team, IT Services, University of Oxford
 
Service integration to Enhance RDM: RSpace electronic lab notebook at the Uni...
Service integration to Enhance RDM: RSpace electronic lab notebook at the Uni...Service integration to Enhance RDM: RSpace electronic lab notebook at the Uni...
Service integration to Enhance RDM: RSpace electronic lab notebook at the Uni...
ResearchSpace
 

What's hot (19)

Dataset Citation and Identification
Dataset Citation and IdentificationDataset Citation and Identification
Dataset Citation and Identification
 
Real-World Data Challenges: Moving Towards Richer Data Ecosystems
Real-World Data Challenges: Moving Towards Richer Data EcosystemsReal-World Data Challenges: Moving Towards Richer Data Ecosystems
Real-World Data Challenges: Moving Towards Richer Data Ecosystems
 
HathiTrust Research Center Secure Commons
HathiTrust Research Center Secure CommonsHathiTrust Research Center Secure Commons
HathiTrust Research Center Secure Commons
 
HathiTrust Research Center Data Capsule Overview 09.10.14
HathiTrust Research Center Data Capsule Overview 09.10.14HathiTrust Research Center Data Capsule Overview 09.10.14
HathiTrust Research Center Data Capsule Overview 09.10.14
 
Research Data Management: What is it and why is the Library & Archives Servic...
Research Data Management: What is it and why is the Library & Archives Servic...Research Data Management: What is it and why is the Library & Archives Servic...
Research Data Management: What is it and why is the Library & Archives Servic...
 
Executive Summary - Data Management Hub
Executive Summary - Data Management HubExecutive Summary - Data Management Hub
Executive Summary - Data Management Hub
 
Research Data Management: Approaches to Institutional Policy
Research Data Management: Approaches to Institutional PolicyResearch Data Management: Approaches to Institutional Policy
Research Data Management: Approaches to Institutional Policy
 
DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?
DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?
DATA MANAGEMENT – WHAT DOES IT MEAN FOR RESEARCHERS?
 
Research Data (and Software) Management at Imperial: (Everything you need to ...
Research Data (and Software) Management at Imperial: (Everything you need to ...Research Data (and Software) Management at Imperial: (Everything you need to ...
Research Data (and Software) Management at Imperial: (Everything you need to ...
 
A basic course on Research data management: part 1 - part 4
A basic course on Research data management: part 1 - part 4A basic course on Research data management: part 1 - part 4
A basic course on Research data management: part 1 - part 4
 
Data Management Planning
Data Management PlanningData Management Planning
Data Management Planning
 
Empowering Transformational Science
Empowering Transformational ScienceEmpowering Transformational Science
Empowering Transformational Science
 
Providing support and services for researchers in good data governance
Providing support and services for researchers in good data governanceProviding support and services for researchers in good data governance
Providing support and services for researchers in good data governance
 
Research data management : Open Research Data pilot, data management (plans),...
Research data management : Open Research Data pilot, data management (plans),...Research data management : Open Research Data pilot, data management (plans),...
Research data management : Open Research Data pilot, data management (plans),...
 
Introduction to Research Data Management - 2015-02-09 - MPLS Division, Univer...
Introduction to Research Data Management - 2015-02-09 - MPLS Division, Univer...Introduction to Research Data Management - 2015-02-09 - MPLS Division, Univer...
Introduction to Research Data Management - 2015-02-09 - MPLS Division, Univer...
 
Cuna Ekmekcioglu (University of Edinburgh) - “Engaging academic support libra...
Cuna Ekmekcioglu (University of Edinburgh) - “Engaging academic support libra...Cuna Ekmekcioglu (University of Edinburgh) - “Engaging academic support libra...
Cuna Ekmekcioglu (University of Edinburgh) - “Engaging academic support libra...
 
The Donders Repository
The Donders RepositoryThe Donders Repository
The Donders Repository
 
Preparing Your Research Data for the Future - 2015-06-08 - Medical Sciences D...
Preparing Your Research Data for the Future - 2015-06-08 - Medical Sciences D...Preparing Your Research Data for the Future - 2015-06-08 - Medical Sciences D...
Preparing Your Research Data for the Future - 2015-06-08 - Medical Sciences D...
 
Service integration to Enhance RDM: RSpace electronic lab notebook at the Uni...
Service integration to Enhance RDM: RSpace electronic lab notebook at the Uni...Service integration to Enhance RDM: RSpace electronic lab notebook at the Uni...
Service integration to Enhance RDM: RSpace electronic lab notebook at the Uni...
 

Viewers also liked

Themamiddag ukb wg rdm introductie jr v06
Themamiddag ukb wg rdm introductie jr v06Themamiddag ukb wg rdm introductie jr v06
Themamiddag ukb wg rdm introductie jr v06
Jeroen Rombouts
 
Elag workshop sessie 3 v4
Elag workshop sessie 3 v4Elag workshop sessie 3 v4
Elag workshop sessie 3 v4Jeroen Rombouts
 
Themamiddag ukb wg rdm quick scan beleid jr v05
Themamiddag ukb wg rdm quick scan beleid jr v05Themamiddag ukb wg rdm quick scan beleid jr v05
Themamiddag ukb wg rdm quick scan beleid jr v05
Jeroen Rombouts
 
Chcaod511 b session three
Chcaod511 b session threeChcaod511 b session three
Chcaod511 b session threelmabbott
 
Session one 080411
Session one 080411Session one 080411
Session one 080411lmabbott
 
Elag workshop sessie 1 en 2 v10
Elag workshop sessie 1 en 2 v10Elag workshop sessie 1 en 2 v10
Elag workshop sessie 1 en 2 v10
Jeroen Rombouts
 
Chcpol501 a session five 250311
Chcpol501 a session five 250311Chcpol501 a session five 250311
Chcpol501 a session five 250311lmabbott
 

Viewers also liked (7)

Themamiddag ukb wg rdm introductie jr v06
Themamiddag ukb wg rdm introductie jr v06Themamiddag ukb wg rdm introductie jr v06
Themamiddag ukb wg rdm introductie jr v06
 
Elag workshop sessie 3 v4
Elag workshop sessie 3 v4Elag workshop sessie 3 v4
Elag workshop sessie 3 v4
 
Themamiddag ukb wg rdm quick scan beleid jr v05
Themamiddag ukb wg rdm quick scan beleid jr v05Themamiddag ukb wg rdm quick scan beleid jr v05
Themamiddag ukb wg rdm quick scan beleid jr v05
 
Chcaod511 b session three
Chcaod511 b session threeChcaod511 b session three
Chcaod511 b session three
 
Session one 080411
Session one 080411Session one 080411
Session one 080411
 
Elag workshop sessie 1 en 2 v10
Elag workshop sessie 1 en 2 v10Elag workshop sessie 1 en 2 v10
Elag workshop sessie 1 en 2 v10
 
Chcpol501 a session five 250311
Chcpol501 a session five 250311Chcpol501 a session five 250311
Chcpol501 a session five 250311
 

Similar to 3 tu.dc 5min nordbib jp rombouts

What is-rdm
What is-rdmWhat is-rdm
What is-rdm
Sarah Jones
 
Intro to RDM
Intro to RDMIntro to RDM
Intro to RDM
Sarah Jones
 
DataCite: the Perfect Complement to CrossRef
DataCite: the Perfect Complement to CrossRefDataCite: the Perfect Complement to CrossRef
DataCite: the Perfect Complement to CrossRefCrossref
 
e-Science, Research Data and Libaries
e-Science, Research Data and Libariese-Science, Research Data and Libaries
e-Science, Research Data and Libaries
Rob Grim
 
Metadata - What Works, What Doesn't? 2009
Metadata - What Works, What Doesn't? 2009Metadata - What Works, What Doesn't? 2009
Metadata - What Works, What Doesn't? 2009
Stephanie Taylor
 
Research Data Management
Research Data ManagementResearch Data Management
Research Data Management
Jamie Bisset
 
Research Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATResearch Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Research Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Tony Ross-Hellauer
 
Research Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATResearch Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Research Data Management: An Introductory Webinar from OpenAIRE and EUDAT
OpenAIRE
 
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu |
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu | Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu |
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu |
EUDAT
 
Managing data throughout the research lifecycle
Managing data throughout the research lifecycleManaging data throughout the research lifecycle
Managing data throughout the research lifecycle
Marieke Guy
 
Some Ideas on Making Research Data: "It's the Metadata, stupid!"
Some Ideas on Making Research Data: "It's the Metadata, stupid!"Some Ideas on Making Research Data: "It's the Metadata, stupid!"
Some Ideas on Making Research Data: "It's the Metadata, stupid!"
Anita de Waard
 
ESI Supplemental Webinar 2 - DataONE presentation slides
ESI Supplemental Webinar 2 - DataONE presentation slides ESI Supplemental Webinar 2 - DataONE presentation slides
ESI Supplemental Webinar 2 - DataONE presentation slides
DuraSpace
 
RDAP13 John Kunze: The Data Management Ecosystem
RDAP13 John Kunze: The Data Management EcosystemRDAP13 John Kunze: The Data Management Ecosystem
RDAP13 John Kunze: The Data Management Ecosystem
ASIS&T
 
Planning for Research Data Management
Planning for Research Data ManagementPlanning for Research Data Management
Planning for Research Data Management
dancrane_open
 
Love Your Data Locally
Love Your Data LocallyLove Your Data Locally
Love Your Data Locally
Erin D. Foster
 
Behind the scenes of data science
Behind the scenes of data scienceBehind the scenes of data science
Behind the scenes of data science
Loïc Lejoly
 
Research data management during and after your research ; an introduction / L...
Research data management during and after your research ; an introduction / L...Research data management during and after your research ; an introduction / L...
Research data management during and after your research ; an introduction / L...
Leon Osinski
 
Cni research data_oxford_horstmann_jefferies
Cni research data_oxford_horstmann_jefferiesCni research data_oxford_horstmann_jefferies
Cni research data_oxford_horstmann_jefferiesBDLSS
 
The state of global research data initiatives: observations from a life on th...
The state of global research data initiatives: observations from a life on th...The state of global research data initiatives: observations from a life on th...
The state of global research data initiatives: observations from a life on th...
Projeto RCAAP
 

Similar to 3 tu.dc 5min nordbib jp rombouts (20)

What is-rdm
What is-rdmWhat is-rdm
What is-rdm
 
Intro to RDM
Intro to RDMIntro to RDM
Intro to RDM
 
DataCite: the Perfect Complement to CrossRef
DataCite: the Perfect Complement to CrossRefDataCite: the Perfect Complement to CrossRef
DataCite: the Perfect Complement to CrossRef
 
e-Science, Research Data and Libaries
e-Science, Research Data and Libariese-Science, Research Data and Libaries
e-Science, Research Data and Libaries
 
Metadata - What Works, What Doesn't? 2009
Metadata - What Works, What Doesn't? 2009Metadata - What Works, What Doesn't? 2009
Metadata - What Works, What Doesn't? 2009
 
Research Data Management
Research Data ManagementResearch Data Management
Research Data Management
 
Imac 090924
Imac 090924Imac 090924
Imac 090924
 
Research Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATResearch Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Research Data Management: An Introductory Webinar from OpenAIRE and EUDAT
 
Research Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATResearch Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Research Data Management: An Introductory Webinar from OpenAIRE and EUDAT
 
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu |
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu | Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu |
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu |
 
Managing data throughout the research lifecycle
Managing data throughout the research lifecycleManaging data throughout the research lifecycle
Managing data throughout the research lifecycle
 
Some Ideas on Making Research Data: "It's the Metadata, stupid!"
Some Ideas on Making Research Data: "It's the Metadata, stupid!"Some Ideas on Making Research Data: "It's the Metadata, stupid!"
Some Ideas on Making Research Data: "It's the Metadata, stupid!"
 
ESI Supplemental Webinar 2 - DataONE presentation slides
ESI Supplemental Webinar 2 - DataONE presentation slides ESI Supplemental Webinar 2 - DataONE presentation slides
ESI Supplemental Webinar 2 - DataONE presentation slides
 
RDAP13 John Kunze: The Data Management Ecosystem
RDAP13 John Kunze: The Data Management EcosystemRDAP13 John Kunze: The Data Management Ecosystem
RDAP13 John Kunze: The Data Management Ecosystem
 
Planning for Research Data Management
Planning for Research Data ManagementPlanning for Research Data Management
Planning for Research Data Management
 
Love Your Data Locally
Love Your Data LocallyLove Your Data Locally
Love Your Data Locally
 
Behind the scenes of data science
Behind the scenes of data scienceBehind the scenes of data science
Behind the scenes of data science
 
Research data management during and after your research ; an introduction / L...
Research data management during and after your research ; an introduction / L...Research data management during and after your research ; an introduction / L...
Research data management during and after your research ; an introduction / L...
 
Cni research data_oxford_horstmann_jefferies
Cni research data_oxford_horstmann_jefferiesCni research data_oxford_horstmann_jefferies
Cni research data_oxford_horstmann_jefferies
 
The state of global research data initiatives: observations from a life on th...
The state of global research data initiatives: observations from a life on th...The state of global research data initiatives: observations from a life on th...
The state of global research data initiatives: observations from a life on th...
 

Recently uploaded

Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
Bhaskar Mitra
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Product School
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
Abida Shariff
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
CatarinaPereira64715
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 

Recently uploaded (20)

Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
ODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User GroupODC, Data Fabric and Architecture User Group
ODC, Data Fabric and Architecture User Group
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 

3 tu.dc 5min nordbib jp rombouts

  • 1. 3TU.Datacentrum Tuesday, June 12th 2012 Jeroen Rombouts
  • 2. 3TU.Datacentrum = … • 3 Dutch TU’s: Delft, Eindhoven, Twente • Project 2008-2011, going concern 2012- • Data archive – 2008 - – “finished” data – preserve but do not forget usability – data citation information (incl. DataCite DOI’s) • Data labs – Started (hosting) – Unfinished data + software/scripts
  • 3. Website & Data-archive • http://datacentrum.3tu.nl • Information News, announcements Publications, links and tutorials • http://data.3tu.nl • Data sets download and ‘management’ • ‘Use’ data with Google Maps/Earth, OPeNDAP, …
  • 4. Data archiving options • ‘Simple’ sets (Do It Yourself) Standard (self)upload form and descriptive information, single file per object (can be a ‘zipped’ collection), single DOI, … E.g.: Zandvliet, H.J.W. et al. (2010): Diffusion driven concerted motion of surface atoms: Ge on Ge(001). MESA+ Institute For Nanotechnology, University of Twente. doi:10.4121/uuid:3f71549c-6097-4bb8-bc00-6db77deb161d • Special collections (Do It Together) Negotiate: deposit procedure, description (xml, picture, preview), data model, level of DOI assignment, query online, … E.g.: Otto, T., Russchenberg, H.W.J. (2010): IDRA weather radar measurements - all data. TU Delft - Delft University of Technology. doi:10.4121/uuid:5f3bcaa2-a456-4a66-a67b-1eec928cae6d
  • 5. Meta data ‘publication’ • Meta data in DataCite Meta Data Store https://mds.datacite.org • Meta data harvestable (OAI-PMH) (CC0) NARCIS (www.narcis.nl), …? • Crawlable (OAI-ORE linked data) (CC0) PRIMO (soon…) • Open to search engine bots
  • 6. Training & Data-labs • http://dataintelligence.3tu.nl • Reference, News & Events for training library staff. • OpenEarth, SHARE, …?
  • 7. Experience • Front office – Being (physically) close helps building trust – Huge ‘disciplinary’ (individual) differences in openness and data management level – Need more than a few (trained) people • Back office – Wide array of skills required (legal, it, management, digital curation, research tools, training, …) – Trade-off between long term preservation and (re-)use – Balancing generic and discipline specific • Data labs – Value for acquisition and standardization
  • 9. What our accountmanagers ‘sell’… The benefits for data producers and data consumers • Increased visibility of research output. (metadata in repository networks, assigning doi’s, facilitate increases citation rate for ‘enhanced publications’, ...); • Improved quality of dataset (quality assurance for multi- user setup, checks on ingest, …); • Provide (long-term) preservation of and accessibility to, valuable research data; • Distribution of research data for reuse, including administration and usage statistics; • Provides advice on data management, rights, formats, metadata, etc.
  • 10. What do data producers say? 1/2 Only for long term Datasets are stored by continuous data No time! publisher Our research is once only Interesting but not for me Nobody needs my data Our datasets are Data transfer not confidential needed, every PhD does own project
  • 11. What do data producers say? 2/2 Very usefull, essential When can I store metadata often missing my datasets? Much to improve  in reuse of data Good opportunity to share datasets we bought Would like to publish data Surprising our university had no Transfer of data between faciltity for data PhD’s can be improved preservation

Editor's Notes

  1. Data management logical part of Library research support but unfamiliar territory Safest long-term preservation option not always best for re-use E.g. existing University ICT staff unfamiliar with digital preservation Data-labs save on ingest/acquisition/training costs but not straight forward to publish from data-lab to archive