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SUMMARY:MEchanics GAthering –MEGA- Seminar: On the necessity of curation
  for datasets to achieve FAIR standard goals in scientific publications
DTSTART:20240411T161500
DTEND:20240411T171500
DTSTAMP:20261023T233954Z
UID:a1000c845558a01cae6c0143dbd015e39c71ac2c60a7ded52cc55785
CATEGORIES:Conferences - Seminars
DESCRIPTION:Guillaume Anciaux (LSMS\, EPFL)\nAbstract: Academic knowledg
 e is traditionally disseminated by academic journals. However\, nowadays\,
  the production of scientific data in any given project exceeds by a vast 
 amount what can be contained in a few journal pages. Reproducible scientif
 ic data and publications must be associated to boost scientific collaborat
 ions and discoveries. There is today an always increasing pressure coming 
 from universities and funding institutions towards publishing open data\, 
 despite the important workload it represents. Thus far\, only limited solu
 tions/tools to curate and share data produced by experiments and simulatio
 ns. At large\, this situation does not favor open science.\nIn this presen
 tation\, I will start with a small history of the academic press\, up to t
 he diamond open access principles and the role that can be played by scien
 tists themselves. Naturally the evolution of practices towards digitizatio
 n and computational disciplines will bring us to consider datasets.  The 
 possibilities and the rather limited curative requirements for datasets in
  generalist repositories such as Zenodo will be detailed.\nI also will pre
 sent the recent initiative of the overlay diamond open access "Journal of 
 Theoretical\, Computational and Applied Mechanics" towards the curation of
  the datasets accompanying published paper. Just like for the paper review
  procedure\, it is believed that datasets can only become valuable when co
 rrectly cleaned\, annotated\, documented and proved with minimal reproduci
 bility. The JTCAM could make this move thanks to the Dissemination of Comp
 utational Solid Mechanics (DCSM) project\, which aimed at developing a web
  platform and an open-source software (Solidipes) to support scientists wh
 en curating and publishing their datasets. Such a platform will be briefly
  presented and illustrated with show case papers+datasets.\nFinally\, the 
 ideal curation framework will be sketched. In particular\, the need for sp
 ecific ontologies\, describing the relational hierarchy between objects\, 
 will be linked with robust and simplified recognition/validation procedure
 s. In other terms\, a normalization of the (discipline dependent) scientif
 ic community output is called for. While this certainly represents an impo
 rtant amount of work\, it has the potential of reducing the workload for d
 ataset curators\, which is a sine qua non condition to convince dataset re
 viewers to highlight our digital production.\n\nBio: Guillaume Anciaux go
 t his master's from the Graduate School in Electronics\, Computer Sciences
 \, Telecommunications\, Mathematics and Mechanics (ENSEIRB-MATMECA)\, Bord
 eaux\, France\, with a Computer Science degree in 2003.  Then\, he starte
 d his PhD in 2003 with Prof. Coulaud and Prof. Roman in the High Performan
 ce Computing team ScAlApplix at INRIA (Bordeaux\, France). His Ph.D work f
 ocused on multiscale concurrent coupling methods to bridge molecular dynam
 ics with finite elements. He then joined the team of J.F. Molinari at EPFL
 \, where he explored computational solid mechanics\, for various scales\, 
 models\, and computing architecture. In particular\, contact mechanics\, t
 ribology\, and material defects were topics he contributed to during the p
 ast decade. More recently\, G. Anciaux worked on promoting Open Research D
 ata to mechanics disciplines. For instance he got involved in the editoria
 l board of the Diamond Open Access journal JTCAM\, with the goal to introd
 uce dataset curation to the publishing procedure of the JTCAM.\n 
LOCATION:MED 0 1418 https://plan.epfl.ch/?room==MED%200%201418 https://epf
 l.zoom.us/j/67041786969?pwd=a1lXa3lsVGpvL1VpN2RDR2l4clg0QT09
STATUS:CONFIRMED
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