training

Enabling repro­ducibil­i­ty through­out the research life­cy­cle 

At 4TU.ResearchData, we rec­og­nize that good research data prac­tices begin long before data are pub­lished or deposit­ed in a repos­i­to­ry. They are embed­ded through­out the research life­cy­cle, from plan­ning and data cre­ation to pro­cess­ing, analy­sis, col­lab­o­ra­tion, preser­va­tion, and shar­ing. 

Our train­ing sup­ports researchers and data pro­fes­sion­als in devel­op­ing the dig­i­tal and data skills need­ed to pro­duce high-qual­i­ty, repro­ducible, reusable, and well-doc­u­ment­ed research out­puts. Through prac­ti­cal, hands-on train­ing, par­tic­i­pants learn how to inte­grate good prac­tices, tools, stan­dards, and research data man­age­ment prin­ci­ples into their every­day work­flows. 

Our train­ing pro­gramme builds on col­lab­o­ra­tion with the 4TU.ResearchData part­ners insti­tutes and with nation­al part­ners, respond­ing to both foun­da­tion­al and domain-spe­cif­ic needs with­in the Nat­ur­al and Engi­neer­ing Sci­ences. It also con­nects these skills with the ser­vices and infra­struc­ture pro­vid­ed by 4TU.ResearchData and con­tributes to strength­en­ing the pro­fes­sion­al skills of those who sup­port researchers in man­ag­ing their research data. 

Our train­ing activ­i­ties are orga­nized around four main areas: 

1. Foun­da­tion­al skills for repro­ducible research 
Train­ing in essen­tial dig­i­tal research skills, devel­oped and deliv­ered in col­lab­o­ra­tion with ongo­ing train­ing ini­tia­tives at the tech­ni­cal uni­ver­si­ties. These cours­es intro­duce tools and prac­tices that sup­port repro­ducible and effi­cient research work­flows. 

2. Domain-spe­cif­ic train­ing for the Nat­ur­al and Engi­neer­ing Sci­ences 
Train­ing address­ing dis­ci­pline-spe­cif­ic prac­tices, stan­dards, tools, and work­flows that sup­port the cre­ation of high-qual­i­ty, inter­op­er­a­ble, and reusable research out­puts. 

3. 4TU.ResearchData repos­i­to­ry fea­tures and ser­vices 
Train­ing on how to use 4TU.ResearchData ser­vices effec­tive­ly, from prepar­ing and deposit­ing research data to mak­ing use of repos­i­to­ry fea­tures that sup­port FAIR and reusable research. 

4. Data sup­port skills as part of the RDNL coali­tion 
Train­ing for data pro­fes­sion­als who sup­port researchers through­out the research data life­cy­cle. As part of the Research Data Nether­lands (RDNL) coali­tion, 4TU.ResearchData con­tributes to devel­op­ing pro­fes­sion­al skills and shared exper­tise in research data man­age­ment and data sup­port across the Dutch research land­scape.