4TU.ResearchData
We offer researchers a trusted long-term archive, qualified with a Data Seal of Approval, for storing and reusing applied, technical-scientific research data.
Baiba Pudane
“Publishing my data ensures my results can be understood and perhaps reproduced, even if I am unable to find the relevant files anymore. Especially qualitative data is useful for several research questions. Why not maximise the return-on-investment by allowing other researchers to re-use it?”
Anneke Zuiderwijk
“The interview data from my research cannot be shared to protect respondents’ identities. The methodology, procedures and standards used for analysing the data can, however, be shared along with the analysed data and code book. This data can be useful for somebody else, even maybe my future self.”
John-Alan Pascoe
"I see major advantages to depositing my research data in the 4TU.ResearchData archive as soon as a publication is submitted to a publisher. The dataset carries a DOI and has been referred to in the publication. The reviewer thus used the dataset when evaluating the paper."
About us
We offer all researchers a trusted long-term archive for storing and reusing research data in the technical sciences.
Find our data
4TU.ResearchData has archived thousands of datasets. With the help of the Data Browser you can find, view, download and reuse them.
Upload data
In our data archive you can upload datasets from scientific research. This can be raw data, edited data or specific data that has connection to a publication.
Data funds
4TU.ResearchData offers two funds to support researchers in making their data available. The Data Paper Fund and the Data Refinement Fund.
Our latest interview w/ @tudelft @idetudelft Assist. Professor Natalia Romero Herrera on her team's use of @4TUResearchData Data Refinement Funds to enable them "to interpret every piece of data w/utmost care" Be inspired👉 bit.ly/37mhDBw Apply👍bit.ly/38w25v7 pic.twitter.com/K6ZOKV5MA9
@aslavec @RDA_Europe Are you a member of the @RDA_Europe group for Engineering? It might be good if @paulammartinez2 had a chat with you :)
Our 1st group showcase! @LeidenDelftEras trainee Daen Smits met E.Sutanudjaja & N.Wanders @UUGeo to talk data standards, collaboration & hydrological data reuse, Global Water Balance Model &publishing netCDF data @4TUResearchData bit.ly/2RuQzJy #RDM(photo:A.vanderKuil) pic.twitter.com/fz8jEv8U3c
Baan @DANSKNAW Medewerker Projecten en Beleid, met specifieke aandacht voor trainingen academictransfer.com/en/288737/mede…
And we are back online, and with a new dataset on mangroves data.4tu.nl/repository/uui…