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
Notas del editor
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