training

Enabling reproducibility throughout the research lifecycle

At 4TU.ResearchData, we rec­og­nize that repro­ducibil­i­ty is not just about shar­ing results at the end of a project. Rather, it starts from the very first steps of research. To ensure that data, code, and research out­puts remain trans­par­ent, reusable, and well-doc­u­ment­ed, we offer train­ing that sup­ports best prac­tices through­out the entire research life­cy­cle.

Our cours­es focus on foun­da­tion­al skills for repro­ducible research, help­ing researchers and data pro­fes­sion­als apply best prac­tices from data cre­ation to analy­sis and pub­li­ca­tion. By inte­grat­ing ver­sion con­trol, struc­tured pro­gram­ming, and com­mand-line tools into research work­flows, we enable effi­cient col­lab­o­ra­tion, long-term usabil­i­ty, and seam­less shar­ing of sci­en­tif­ic out­puts.

Our train­ing aims to strength­en dig­i­tal skills in four main direc­tions:

  1. Foun­da­tion­al skills for repro­ducible research in col­lab­o­ra­tion with ongo­ing train­ing at the tech­ni­cal uni­ver­si­ties
  2. Domain spe­cif­ic train­ing to pro­duce high qual­i­ty research out­puts in the Nat­ur­al and Engi­neer­ing Sci­ences
  3. Knowl­edge about 4TU.ResearchData repos­i­to­ry fea­tures and ser­vices
  4. Data sup­port skills as part of the RDNL coali­tion

Our training offerings:

1. Foundational skills for reproducible research

✅ Intro­duc­tion to ver­sion con­trol with Git – Learn to track and man­age changes in research code and col­lab­o­rate effec­tive­ly using Git and GitHub.

✅ Intro­duc­tion to good prac­tices in pro­gram­ming for research (Python) – Devel­op clean, reusable, and well-doc­u­ment­ed code fol­low­ing best prac­tices in Python.

✅ Intro­duc­tion to the Unix Shell – Gain com­mand-line skills to auto­mate tasks and work more effi­cient­ly .

If you are inter­est­ed in orga­niz­ing one of those train­ings at your insti­tu­tion (cur­rent 4TU.ResearchData mem­ber’s insti­tu­tions), please approach our train­er Leila Iñi­go!

2. Domain specific training to produce high quality research outputs

The val­ue of sci­en­tif­ic data depends not only on its sci­en­tif­ic con­tent but on how eas­i­ly it can be found, accessed, inte­grat­ed, and reused by oth­ers, whether they are human researchers or auto­mat­ed com­pu­ta­tion­al work­flows. We are cur­rent­ly devel­op­ing and pilot­ing a course that focus­es on how to cre­ate first-class research out­puts using the NetCDF for­mat and pub­lish them through the 4TU.ResearchData repos­i­to­ry. We aim to pro­duce NetCDF datasets that meet these stan­dards, datasets that are not only sci­en­tif­i­cal­ly valu­able today, but that remain acces­si­ble, inter­op­er­a­ble, and reusable for years to come.

We are using the infra­struc­ture of the Car­pen­tries to devel­op this train­ing and with the aim that oth­er train­ers and researchers can reuse our mate­ri­als world­wide. We expect to have mate­ri­als ready by the end of 2026.

3. Knowledge about 4TU.ResearchData repository features and services

Since 2025, we’ve start­ed devel­op­ing work­shops about using the API (Appli­ca­tion Pro­gram­ming inter­face) of 4TU.ResearchData.

If you are a sup­port staff or researcher inter­est­ed in using the API of 4TU.ResearchData for a spe­cif­ic use case and you need help on the process, you can fill out this form, and get in con­tact with our train­er Leila Iñi­go to dis­cuss pos­si­ble options for your request.

4. Data support skills

✅ Essen­tials for Data Sup­port – A world­wide course aimed at data pro­fes­sion­als and research sup­port staff, equip­ping them with the skills to assist researchers in man­ag­ing, and pre­serv­ing data effec­tive­ly.

Through our train­ing, we empow­er researchers to embed repro­ducibil­i­ty into their dai­ly prac­tices, ensur­ing that data and soft­ware are well-man­aged, open, and reusable, advanc­ing both indi­vid­ual research and the broad­er sci­en­tif­ic com­mu­ni­ty.

Training instances

Foundational skills for reproducible research

Domain specific training

  • Inter­op­er­abil­i­ty for Cli­mate and Atmos­pher­ic sci­ences
    Pilot stage
    Pilot work­shop t.b.a

Knowledge about the services that the 4TU.ResearchData repository provides

Data support skills

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