PUBLISHING RESEARCH DATA WITH FAIRLY TOOLSET

The FAIR prin­ci­ples require research data to be pub­lished with com­plete meta­da­ta and ide­al­ly shared at dif­fer­ent key mile­stones dur­ing the research. How­ev­er cur­rent­ly, data pub­li­ca­tion and shar­ing hap­pen most­ly at the end, and pub­lished data most­ly lack impor­tant sup­ple­men­tary infor­ma­tion and meta­da­ta lim­it­ing its reusabil­i­ty. On the oth­er hand, reg­u­lar high-qual­i­ty data pub­li­ca­tion takes time and requires man­u­al inter­ac­tion with the data repos­i­to­ries.

fair­ly toolset aims to bridge this gap by enabling easy research data pub­li­ca­tion direct­ly from your dig­i­tal research envi­ron­ment. The toolset, which includes a Jupyter­Lab exten­sion, a com­mand-line tool, and a Python library, allows quick research data cloning, local data and meta­da­ta man­age­ment, unat­tend­ed upload of large datasets, and smart syn­chro­niza­tion with remote data repos­i­to­ries with min­i­mum effort. Dur­ing the train­ing you will learn how to access and down­load datasets by using the toolset, and how to cre­ate and upload your own research datasets to pop­u­lar research data repos­i­to­ries, such as 4TU.ResearchData.

The work­shop, orga­nized in col­lab­o­ra­tion with TU Delft Dig­i­tal Com­pe­tence Cen­tre, cov­ers the fol­low­ing aspects:

• Fun­da­men­tals of research data man­age­ment
• Pop­u­lar research data repos­i­to­ries: Zen­o­do, 4TU.ResearchData, etc.
• Access­ing and down­load­ing research datasets with fair­ly toolset
• Cre­at­ing and man­ag­ing research datasets with fair­ly toolset

DATE

15 May 2024, 13:00–17:00

VENUE

ITC Build­ing, Room LA 2301
Hal­len­weg 8, 7522 NH Enschede

REGISTRATION

Reg­is­tra­tion is required to attend the work­shop. Please reg­is­ter by fill­ing out the reg­is­tra­tion form until 10 May 2024.

Read more infor­ma­tion on the work­shop.