Publication

Research Data Lunch Talk - 17th meeting - Simulations & Research Data Management: Best Practices that Scale

2026

Abstract

The 17th event of the Research Data Lunch Talks entitled “Simulations & Research Data Management: Best Practices that Scale”, took place on March 26th, 2026. Open to everyone interested, to connect with experts from the EPFL community, and discover how FAIR principles are playing a critical role in the Simulation realm.

Started with Chiara Gabella - head of the Research Data Management team from the EPFL library - presenting an overview of the EPFL Research Data Week initiative, followrf by:

“From Atoms to XYZ: How the atomistic machine learning community shares data” by Dr. Marcel F. Langer from the COSMO Laboratory - Institue of Materials Science - EPFL, “Enabling FAIR Science: Open Data and Interoperability in the Materials Cloud Archive” by Dr. Valeria Granata from THEOS - Laboratory of theory and simulation of materials - EPFL, “Research Data Services Explorer: Your gateway to research data services across the ETH Domain" by Angela Montano from the RDM team at SISB - EPFL library.

Official source

https://infoscience.epfl.ch/entities/publication/cc07f87d-af84-4250-b383-a611a1493d0b

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2026

Abstract

Started with Chiara Gabella - head of the Research Data Management team from the EPFL library - presenting an overview of the EPFL Research Data Week initiative, followrf by:

Official source

https://infoscience.epfl.ch/entities/publication/cc07f87d-af84-4250-b383-a611a1493d0b

About this result

Related concepts (25)

Open data

Open data is data that is openly accessible, exploitable, editable and shared by anyone for any purpose. Open data is licensed under an open license. The goals of the open data movement are similar to those of other "open(-source)" movements such as open-source software, open-source hardware, open content, open specifications, open education, open educational resources, open government, open knowledge, open access, open science, and the open web. The growth of the open data movement is paralleled by a rise in intellectual property rights.

FAIR data

FAIR data are data which meet principles of findability, accessibility, interoperability, and reusability (FAIR). The acronym and principles were defined in a March 2016 paper in the journal Scientific Data by a consortium of scientists and organizations. The FAIR principles emphasize machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention) because humans increasingly rely on computational support to deal with data as a result of the increase in volume, complexity, and creation speed of data.

Research data archiving

Research data archiving is the long-term storage of scholarly research data, including the natural sciences, social sciences, and life sciences. The various academic journals have differing policies regarding how much of their data and methods researchers are required to store in a public archive, and what is actually archived varies widely between different disciplines. Similarly, the major grant-giving institutions have varying attitudes towards public archival of data.

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Research Data Lunch Talk - 17th meeting - Simulations & Research Data Management: Best Practices that Scale

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