3 tu.dc 5min nordbib jp rombouts
DESCRIPTION
5 minute madness presentation of 3TU.Datacentrum at Nordbib 2012.A TDR by the 3 Dutch Universities of TechnologyTRANSCRIPT
3TU.Datacentrum
Tuesday, June 12th 2012
Jeroen Rombouts
3TU.Datacentrum = …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-archiveWebsite & Data-archive• http://datacentrum.3tu.nl• Information
News, announcementsPublications, links and tutorials
• http://data.3tu.nl• Data sets download and
‘management’• ‘Use’ data with Google
Maps/Earth, OPeNDAP, …
• ‘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
Data archiving optionsData archiving options
• Meta data in DataCite Meta Data Storehttps://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
Meta data ‘publication’Meta data ‘publication’
Training & Data-labsTraining & Data-labs• http://dataintelligence.3tu.nl• Reference, News & Events
for training library staff.
• OpenEarth, SHARE, …?
ExperienceExperience
• 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 preservationand (re-)use
– Balancing generic and discipline specific
• Data labs– Value for acquisition and standardization
TYFYTAATYFYTAA
What our accountmanagers ‘sell’…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.
Nobody needs my data
Data transfer not needed, every PhD does own project
Our datasets are confidential
Interesting but not for me
Only for long term continuous
data
Datasets are stored by publisherNo time!
Our research is once only
What do data producers say? 1/2What do data producers say? 1/2
Surprising our university had no faciltity for data
preservation
Transfer of data between PhD’s can be
improved
Would like to publish data
Good opportunity to share datasets
we bought
Very usefull, essential metadata
often missing Much to
improve in reuse of data
When can I store my datasets?
What do data producers say? 2/2What do data producers say? 2/2