Highlights 2017
All full page pictures by Annemiek van der Kuil | PhotoA.nl Cover: Wilson Smith - Assistent professor at the Faculty of Applied Sciences TU Delft 2
Content 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
Picture: Joris van Zeben - Researcher at the Faculty of Civil Engineering and Geosciences TU Delft
1. New policies & services 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
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).
Facts & figures 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
Picture: Fokko Mulder- Professor at the Faculty of Applied Sciences Department of Chemical Engineering TU Delft
3.Collaborations 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
4. FAIR data 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
Picture: Fred van der Zwan - Electronic designer at the Faculty of Electrical Engineering, Mathematics and Computer Science TU Delft
1 Online Touch