« (…) The post below summarizes how Europeana’s principles (Usable, Mutual, Reliable) align with the FAIR Data ones, enhancing the findability, accessibility, interoperability, and reuse of digitised…
« Short presentation for the Drexel-CODATA FAIR and Responsible Research Data Management workshop. »
« This lecture first describes the FAIR Guiding Principles for scientific data management and stewardship, and then shows how the Dataverse open-source platform achieves compliance with the principles. »
« In October 2018 the Metadata for Machines (M4M) Workshop took place, which assesses the state of metadata practices in data-related communities and stimulates the creation and…
« (…) The FAIRsFAIR project addresses, in a 36 months timeplan, the development and concrete realisation of an overall knowledge infrastructure on academic quality data management, procedures, standards, metrics and related…
« For the past couple of months, a team of PARTHENOS project members has been working in close collaboration on the creation of the Guidelines to FAIRify data management and make…
« FAIR research data encompasses the way to create, store and publish research data in a way that they are findable, accessible, interoperable and reusable. In order to be FAIR,…
« The idea that scientific data should be FAIR — Findable, Accessible, Interoperable, and Reusable — is one increasingly endorsed by scientific institutions including the
« Le 13 décembre 2018 le groupe Dialogu’IST, réseau Renatis, a animé le 7e atelier de formation sur la thématique de gestion et de valorisation des données de…
« SPARC Europe a publié fin décembre 2018 une note d’information sur les données à destination des décideurs, FAIR and Open Data. Je…
