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+++ b/_data/speakers.yml
@@ -161,4 +161,16 @@
link: https://www.anl.gov/profile/patrick-wells
talk_num: 11
photo: wells.jpg
- bio: "Patrick Wells is a postdoctoral appointee at Argonne National Laboratory who designs and builds tools to simplify access to large-scale cosmological datasets. He joined Argonne in 2024 after completing his PhD in Astrophysics from the University of California, Davis, where he worked on measuring the expansion rate of the universe by extracting information from galaxy surveys. His primary computational interests include data management and workflow orchestration, and he has scientific interests in large-scale structure cosmology and gravitational lensing."
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+ bio: "Patrick Wells is a postdoctoral appointee at Argonne National Laboratory who designs and builds tools to simplify access to large-scale cosmological datasets. He joined Argonne in 2024 after completing his PhD in Astrophysics from the University of California, Davis, where he worked on measuring the expansion rate of the universe by extracting information from galaxy surveys. His primary computational interests include data management and workflow orchestration, and he has scientific interests in large-scale structure cosmology and gravitational lensing."
+
+- name: Laurent Thomas
+ role: Research Software Engineer at EMBL Heidelberg
+ institution:
+ - name: European Molecular Biology Laboratory
+ link: https://www.embl.de
+ image: embl.png
+ country: de
+ link: https://www.embl.org/people/person/laurent-sylvain-vincent-thomas/
+ talk_num: 12
+ photo: thomas.jpg
+ bio: "Laurent Thomas is a research software engineer, and currently a postdoctoral researcher at EMBL Heidelberg in the MODIS data science team. The team is developing LabID, the data-management solution of the EMBL. Prior to joining the EMBL, he did his PhD in Heidelberg working on image-analysis for microscopy. Then he worked a couple of years as a software engineer for a local microscopy company, before joining the EMBL in March last year."
diff --git a/_talks/2026_03_25.html b/_talks/2026_03_25.html
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+---
+layout: talk
+title: "Recording data-provenance from sample to workflow results with LabID"
+authors: Laurent Thomas (European Molecular Biology Laboratory)
+event_date: March 25, 2026
+times: 11:00am PST / 2:00pm EST / 20:00 CEST
+talk_number: 12
+given: false
+image: /images/talks/thomas-banner.jpg
+
+
+---
+
+Lab Integrated Data (LabID) is an open-source web-based platform for research
+data management in life science institutes, featuring sample and dataset
+management, an inventory management system and an electronic lab notebook.
+LabID allows recording extensive experimental information about the provenance
+of data (samples, reagents, instrument, protocols, assay parameters) and is
+designed to help individual scientists, research groups and core facilities
+better manage, annotate and share their research according to FAIR principles.
+
+
+
+We recently developed the LabID workflow integration, as a solution to document
+the provenance of processed-data, typically originating from computational
+workflows. While workflows are commonly used to process data, we found that
+there was no central solution accessible to researcher to keep track of
+workflows execution together with the data. The workflow integration extends
+the data-provenance functionality of LabID to document processed data, by
+recording extensive informations about a workflow and its execution.
+
+
+
+Besides enriching metadata about data-provenance, this new development
+facilitates workflow versioning, collaborative workflow development and
+tracking of workflow invocations with associated data and metadata. In this
+talk, I will present the general data-management concept of LabID, then
+introduce the workflow integration, and how it interacts with workflow
+management platforms (Galaxy, Nextflow...) and workflow repositories
+(WorkflowHub, Git...).
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