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2017
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Cover: Wilson Smith - Assistent professor at the Faculty of Applied Sciences TU Delft
2
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1. New policies & services
1.1 Policies & documentation
1.2 Data funds
1.3 NetCDF data services
2. Growing Archive
2.1 Data uploads
2.2 7500th dataset
2.3 Data usage
2.4 Sand Motor data
2.5 Datasets via Open Aire
2.6 Website hits
3. Collaborations
3.1 Nioz pilot
3.2 Outreach to 4TU. centres
4. FAIR data
5. Essentials
2
2
2
2
3
3
3
3
3
3
3
6
6
6
7
7
ZpL(tZpL(t{בCט   {u׉׉	 7cassandra://2DHj8E6Cv_8lViVYj05aeH7tzw57NqFgNraSjTLsuz0 ja`׉	 7cassandra://JPb_lc5S7MLcqhDiUylE_9dwWWddQ0XCJJN62sScop8ͳ`׉	 7cassandra://uzcJCE1AueefXJEXpRkPB1fBYVmGHd050k7XMC1IBd49`j ׉	 7cassandra://c8Egk_1agmKWxuulzr1u8Ga0Ua7WMd83R0ONWQsOVl0 D͠	ZpL(t$נZpL(t ̫9׉H dhttp://researchdata.4tu.nl/fileadmin/editor_upload/pdf/Preservation_Plan/4TU.Preservation_Policy.pdfGׁׁrנZpL(t 9׉H ohttp://researchdata.4tu.nl/fileadmin/editor_upload/pdf/Collection_Policy/Data_collection_policy_aug.2017PDF.pdfGׁׁrנZpL(t ́9׉H ^http://researchdata.4tu.nl/fileadmin/editor_upload/pdf/File_formats/preffered_file_formats.pdfGׁׁrנZpL(t  79׉H ghttp://researchdata.4tu.nl/fileadmin/editor_upload/pdf/README/Guidelines_for_creating_a_README_file.pdfGׁׁrנZpL(t! 9׉H ghttp://researchdata.4tu.nl/fileadmin/editor_upload/pdf/README/Guidelines_for_creating_a_README_file.pdfGׁׁrנZpL(t" ́9׉H Ghttp://researchdata.4tu.nl/en/publishing-research/data-refinement-fund/GׁׁrנZpL(t#  B̖9׉H Bhttp://researchdata.4tu.nl/en/publishing-research/data-paper-fund/GׁׁrנZpL(tZ 
̧9ׁHhttp://4TU.ReׁׁЈנZpL(tY 	GI9ׁHhttp://4TU.ReׁׁЈ׉E cPicture: Joris van Zeben - Researcher at
the Faculty of Civil Engineering and Geosciences
TU Delft
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1.1 Policies and documentation
In anticipation of the renewal of the
Data Seal of Approval, that is succeeded
by the new CoreTrustSeal,
we have updated some policies and
documentation and created new
ones:
- Preservation policy
- Data collection policy
- List of preferred formats
- Guidelines for creating a README
file
1.2 Data funds
This year we introduced two funds
to support researchers with their
research data management: the
Data Refinement Fund and the Data
Paper Fund.
The Data Refinement Fund offers
researchers a budget to make their
valuable research data available online
by refining their data for proper
discoverability and reusability.
With the Data Paper Fund 4TU.ResearchData
promotes publishing of
data papers by funding the publishing
costs.
1.3 NetCDF data services
This year we started exploring our
options for providing services related
to netCDF data. Atmospheric
and environmental research data
form the bulk of the content of the
4TU.ResearchData archive. Most of
these datasets are coded in netCDF,
a data format that is especially
suited to store multi-dimensional
array-oriented data.
In the report that we will write we
will be assessing the opportunities
for creating not just technical services
related to storing and archiving
NetCDF, but for advice and guidance,
and the advantages that could
accrue from being recognised as a
source of data in the area.
2
ZpL(t&ZpL(t%{בCט   {u׉׉	 7cassandra://oedLVV0aMcVhJM9InSSSBm5-DXt65vJwwb191RKlk4s `׉	 7cassandra://7AtOt-kQwHSFUfGNwH58x_NHwMDvaUYnTgZz92JdQIEͤG`׉	 7cassandra://A_nqNfPDIP8F_FPj7FHP6jncAP1m5MYky8rH0en89982`j ׉	 7cassandra://N7fFzvlPZ_xYRTYD4b9dZABN8ygO91vEFOtFGGpcOLY iN͠	ZpL(t1נZpL(t' R<I9׉H Ahttps://doi.org/10.4121/uuid:7a932119-cf0e-4710-b2f7-2655b2befa4bGׁׁrנZpL(t* d</9׉H Hhttps://data.4tu.nl/repository/uuid:7e326e7e-8b93-4701-8860-71213edf0fbeGׁׁrנZpL(t, d̿9׉H Hhttps://data.4tu.nl/repository/uuid:4251048f-f408-42cc-b1cf-83522430e420GׁׁrנZpL(t- ̛9׉H Hhttps://data.4tu.nl/repository/uuid:62b7976b-a249-4aff-816b-8e3fa5926f65GׁׁrנZpL(t. o^9׉H Hhttps://data.4tu.nl/repository/uuid:4b0483fe-b258-4c1a-900f-8adb030bb42fGׁׁrנZpL(t/ *F19׉H ,https://doi.org/10.4121/collection:zandmotorGׁׁrנZpL(t[ 	Z9ׁHhttp://data.4tu.nlׁׁЈ׉E2. Growing Archive
2.1 Uploads
This year the archive expanded with
478 datasets, 3.23 TB byte of data.
Division by uploader:
TU Delft
TU/e
UTwente
Other institutes
396 (2.81 TiB)
16 (29.8 GiB)
17 (74.4 GiB)
49
Other instutitutes:
Universiteit Leiden, NIOZ, University
of Tuscia, Deltares, University of
Sarajevo, Wageningen University &
Research, University of Padova
CA Strategic Research, Warsaw University
of Life Science, University of
Agriculture Peshawar, Kipp & Zonen
University of Basilicata.
This year we received again lot’s of
IDRA data (Delft): 302 datasets
Trend over the last few years, excluding
IDRA:
2017
2016
2015
2014
:
:
:
:
176 ( 510 GiB)
108 ( 425 GiB)
78 ( 161 GiB)
51 ( 159 GiB)
2.2 Mile Stone: 7500 datasets
We celebrated our 7500 dataset:
‘A full-Maxwell approach for large
angle polar wander of viscoelastic
bodies’ by Haiyang Hu.
https://doi.org/10.4121/
uuid:7a932119-cf0e-4710-b2f72655b2befa4b.
2.3
Data usage
116 times a dataset at 4TU.ResearchData
was downloaded.
The 3 most resolved DOI’s of the
year were:
1 The BPI Challenge 2017 combined
with the Offer log dataset.
2 The Crablock dataset
3 Wind set-up datasets of as well
3
Grevelingenmeer as IJsselmeer.
2.4 Sand Motor data
Since 2011 researchers of the Sand
Motor project (project of Rijkswaterstaat)
explore the possibilities
of sustainable and natural coastal
protection through the construction
of a peninsula near the coast of Ter
Heijde. In 2016 the first phase of
the research program was completed
and lin 2017 various data came
publicly available at 4TU.ResearchData.
https://doi.org/10.4121/collection:zandmotor
2.5
Datasets available via
OpenAIRE
Via the OpenAIRE portal all European
funded research output is
made as much as possible, available
to all.
Every dataset published in the 4TU
data archive, which has an associated
article or project, now becomes
automatically aggregated to the
OpenAIRE portal, where it can be
found alongside other research. This
way we help researchers to comply
with the EC’s policies on Open Access,
and help increase the visibility
of our content.
2.6 Website hits
This year we had 148249 visitors
to our Archive website (data.4tu.nl)
and 18530 people visited our general
webpages (researchdata.4tu.nl).
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Uploads
2014
12%
2015
19%
2016
26%
2017
43%
2017
2016
2015
2014
Amount of uploads over the last four years
Picture: Rijkswaterstaat/Jurriaan Brobbel
Downloads of 2017 by country
20000
40000
60000
80000
100000
120000
140000
160000
0
Amount of website visits at data.4tu.nl in 2017
4
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Faculty of Applied Sciences
Department of Chemical Engineering TU
Delft
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3.1 NIOZ pilot
At the beginning of 2017 two NIOZ
research groups have decided to
use the 4TU.ResearchData archive
for making data underlying their
publications available and discoverable.
Datasets are deposited by
either the data librarian of NIOZ or
the researcher him/herself.
A service that is highly appreciated
by NIOZ is the ‘DOI reservation’.
The researcher receives a DOI for
the dataset in advance to integrate
the DOI into a paper that is in the
publication process.
In total, NIOZ has deposited 16 datasets
last year.
3.2 Outreach to 4TU. research
centres
In the second half of 2017 explored
the research data management
needs within the research centres of
the 4TU.Federation and (re)introduced
the services provided by 4TU.
ResearchData that can cover those
needs.
The project included structured
interviews with the Scientific Directors
of each Research Centre. The
results will be presented as a report
,which will be shared with the 4TU.
Federation (soon available).
6
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FAIR Data Principles research
project
We worked on a IDCC17 practice
paper and a Excel spreadsheet that
includes an overview of 37 evaluated
research data repositories in
context of the FAIR (Findable, Accessible,
Interoperable and Re-usable)
data principles. With this research
project we wanted to test the
effectiveness and relevance of the
FAIR Data Principles. Simultaneously,
analyses how easy it is for data
archives to adhere to the principles.
The research was a part of the
CESAER TFOS-RDM working group.
Pre-print Paper: https://zenodo.org/
record/321423#.Wl9YXfCnFEY
Spread sheet: Evaluation of data repositories
based on the FAIR Principles
for IDCC 2017 practice paper
We also analysed our own archive in
the context of the FAIR Principles.
This review focuses on the metadata
that describes each dataset rather
than the data sitting within each
dataset.
FAIR Principles - review in context
of 4TU.ResearchData
5.Essentials
Training Essentials for data
support
This year we organised three rounds
of our RDNL Essentials 4 Data Support
course, which resulted in another
40 educated data supporters.
In February we coordinated a Trainthe-Trainer
version. In this one-day
workshop we focused on how we organized
our course and the content
to a blended training.‘
For two institutes: The Nederlandse
Vereniging voor Technische Geneeskunde
(NVvTG) and Fontys Hogescholen,
we organised an inhouse
datamanagement training.
And at the LIBER conference in July
we held a presentation on the FAIR
aspects of the Essentials 4 Data
Support training.
7
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at the Faculty of Electrical Engineering,
Mathematics and Computer Science TU
Delft
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