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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

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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