Merge pull request #4936 from galaxyproject/yakalo-cobra

[news] Perfectly FAIR Training!

faqs/gtn/gtn_citing.md

@@ -13,3 +13,37 @@ We wrote two articles about our efforts:
 
 To cite individual tutorials, please find citation information at the end of the tutorial.
 
+Here is the BibTeX formatted version of those citations:
+
+```
+@article{Hiltemann_2023,
+	title        = {Galaxy Training: A powerful framework for teaching!},
+	author       = {Hiltemann, Saskia and Rasche, Helena and Gladman, Simon and Hotz, Hans-Rudolf and Larivi\`{e}re, Delphine and Blankenberg, Daniel and Jagtap, Pratik D. and Wollmann, Thomas and Bretaudeau, Anthony and Gou\'{e}, Nadia and Griffin, Timothy J. and Royaux, Coline and Le Bras, Yvan and Mehta, Subina and Syme, Anna and Coppens, Frederik and Droesbeke, Bert and Soranzo, Nicola and Bacon, Wendi and Psomopoulos, Fotis and Gallardo-Alba, Crist\'{o}bal and Davis, John and F\"{o}ll, Melanie Christine and Fahrner, Matthias and Doyle, Maria A. and Serrano-Solano, Beatriz and Fouilloux, Anne Claire and van Heusden, Peter and Maier, Wolfgang and Clements, Dave and Heyl, Florian and Gr\"{u}ning, Bj\"{o}rn and Batut, B\'{e}r\'{e}nice},
+	year         = 2023,
+	month        = jan,
+	journal      = {PLOS Computational Biology},
+	publisher    = {Public Library of Science (PLoS)},
+	volume       = 19,
+	number       = 1,
+	pages        = {e1010752},
+	doi          = {10.1371/journal.pcbi.1010752},
+	issn         = {1553-7358},
+	url          = {http://dx.doi.org/10.1371/journal.pcbi.1010752},
+	editor       = {Ouellette, Francis},
+}
+@article{Batut_2018,
+	title        = {Community-Driven Data Analysis Training for Biology},
+	author       = {Batut, B\'{e}r\'{e}nice and Hiltemann, Saskia and Bagnacani, Andrea and Baker, Dannon and Bhardwaj, Vivek and Blank, Clemens and Bretaudeau, Anthony and Brillet-Gu\'{e}guen, Loraine and \v{C}ech, Martin and Chilton, John and Clements, Dave and Doppelt-Azeroual, Olivia and Erxleben, Anika and Freeberg, Mallory Ann and Gladman, Simon and Hoogstrate, Youri and Hotz, Hans-Rudolf and Houwaart, Torsten and Jagtap, Pratik and Larivi\`{e}re, Delphine and Le Corguill\'{e}, Gildas and Manke, Thomas and Mareuil, Fabien and Ram\'{\i}rez, Fidel and Ryan, Devon and Sigloch, Florian Christoph and Soranzo, Nicola and Wolff, Joachim and Videm, Pavankumar and Wolfien, Markus and Wubuli, Aisanjiang and Yusuf, Dilmurat and Taylor, James and Backofen, Rolf and Nekrutenko, Anton and Gr\"{u}ning, Bj\"{o}rn},
+	year         = 2018,
+	month        = jun,
+	journal      = {Cell Systems},
+	publisher    = {Elsevier BV},
+	volume       = 6,
+	number       = 6,
+	pages        = {752--758.e1},
+	doi          = {10.1016/j.cels.2018.05.012},
+	issn         = {2405-4712},
+	url          = {http://dx.doi.org/10.1016/j.cels.2018.05.012},
+}
+```
+

news/_posts/2024-05-13-fair.md

@@ -0,0 +1,34 @@
+---
+title: Perfectly FAIR Training!
+layout: news
+tags:
+- gtn infrastructure
+contributions:
+  authorship:
+    - hexylena
+  infrastructure:
+    - shiltemann
+    - hexylena
+    - bebatut
+cover: news/images/FAIR-Checker-us.png
+coveralt: A screenshot of a radar plot visibly from fair-checker's site showing a perfect score.
+tutorial: faqs/gtn/fair_training.html
+---
+
+We are happy to report that over the years of our fruitful collaboration with ELIXIR TeSS, all GTN materials should receive a perfect score on the [FAIR-Checker](https://fair-checker.france-bioinformatique.fr/check).
+
+This achievement is a reflection of our long standing and ongoing commitment to ensuring all of the materials you share with others via the GTN are automatically FAIR: Findable, Accessible, Interoperable, and Reusable. Of course the GTN goes further meeting criteria for FAIR/O, as all of our resources are shared with the community under an Open License.
+
+## Why the GTN?
+
+Amongst other competitors in the bioinformatics training material repository space the GTN is unique, we are the only one (which we're aware of!) receiving a perfect score on the FAIR-Checker.
+
+![two more radar plots, each receive approximately half the score. a few have axes they they are perfect on, but no one is perfect on all axes, unlike us.]({% link news/images/FAIR-Checker-others.png %} "Other platforms are still working towards FAIRness")
+
+## For Tutorial Authors
+
+We have made *no new requirements* for tutorial authors, simply by contributing a tutorial to the GTN which passes our linting, you can be sure it meets all relevant FAIR criteria due to our infrastructure and automation.
+
+## For Trainers
+
+If you're a trainer, you can be confident that all GTN materials you use in your training are FAIR. Please let your funders know you are meeting these criteria as well!