This is a short introduction into findable data in context of the FAIR principles from Research Data Center of the University of Mannheim. It provides definition, motivation and basic ways how to make your data findable. There is additionally a GitHub repository for the whole course: https://github.com/UB-Mannheim/FAIR-Data-Week
For open science to flourish, data and any related digital outputs should be discoverable and re-usa...
The FAIR principles were published in 2016 in a Scientific Data article titled ‘FAIR Guiding Princip...
Born out of a 2014 workshop in The Netherlands, the Data FAIRport initiative was formed to set up ‘G...
This is a short introduction into accessible data in context of the FAIR principles from Research Da...
This is a short introduction into reusable data in context of the FAIR principles from Research Data...
This is a short introduction into interoperable data in context of the FAIR principles from Research...
The presentation was held on February 15, 2023 as a webinar as part of Love Data Week 2023. Some Swi...
FAIR Data Point (FDP) is a RESTful web service that enables data owners to expose their datasets and...
Research data repositories must adhere to the FAIR Principles to make data Findable, Accessible, Int...
An introduction to the FAIR data guidelines from F1000Research, including an explanation of what FAI...
FAIR Data Point (FDP) is a RESTful web service that enables data owners to expose their datasets and...
This is 4 of 6 webinars scheduled for Fall 2021 for UF researchers. Participants (13 University of F...
In recent years, the so-called FAIR principles have become the gold standard for research data and a...
The Consortium for the Social, Behavioral, Educational, and Economic Sciences (KonsortSWD) TA5 measu...
FAIR Data Principles is a guideline for making data and other digital objects findable, accessible, ...
For open science to flourish, data and any related digital outputs should be discoverable and re-usa...
The FAIR principles were published in 2016 in a Scientific Data article titled ‘FAIR Guiding Princip...
Born out of a 2014 workshop in The Netherlands, the Data FAIRport initiative was formed to set up ‘G...
This is a short introduction into accessible data in context of the FAIR principles from Research Da...
This is a short introduction into reusable data in context of the FAIR principles from Research Data...
This is a short introduction into interoperable data in context of the FAIR principles from Research...
The presentation was held on February 15, 2023 as a webinar as part of Love Data Week 2023. Some Swi...
FAIR Data Point (FDP) is a RESTful web service that enables data owners to expose their datasets and...
Research data repositories must adhere to the FAIR Principles to make data Findable, Accessible, Int...
An introduction to the FAIR data guidelines from F1000Research, including an explanation of what FAI...
FAIR Data Point (FDP) is a RESTful web service that enables data owners to expose their datasets and...
This is 4 of 6 webinars scheduled for Fall 2021 for UF researchers. Participants (13 University of F...
In recent years, the so-called FAIR principles have become the gold standard for research data and a...
The Consortium for the Social, Behavioral, Educational, and Economic Sciences (KonsortSWD) TA5 measu...
FAIR Data Principles is a guideline for making data and other digital objects findable, accessible, ...
For open science to flourish, data and any related digital outputs should be discoverable and re-usa...
The FAIR principles were published in 2016 in a Scientific Data article titled ‘FAIR Guiding Princip...
Born out of a 2014 workshop in The Netherlands, the Data FAIRport initiative was formed to set up ‘G...
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