From 9979befd0c8d25d90ea4af0ba7893f475062c566 Mon Sep 17 00:00:00 2001 From: Khaled196 <56037954+khaled196@users.noreply.github.com> Date: Mon, 29 Apr 2024 17:54:04 +0100 Subject: [PATCH 1/3] fix fair pointers link --- topics/fair/tutorials/fair-intro/tutorial.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/fair/tutorials/fair-intro/tutorial.md b/topics/fair/tutorials/fair-intro/tutorial.md index 15662cb2e1e6dd..4ed107c550576c 100644 --- a/topics/fair/tutorials/fair-intro/tutorial.md +++ b/topics/fair/tutorials/fair-intro/tutorial.md @@ -35,7 +35,7 @@ subtopic: fair-data The FAIR (Findable, Accessible, Interoperable, Reusable) principles emphasize machine-actionability. The main objective of FAIR is to increase data reuse by researchers. The core concepts of the FAIR principles are based on good scientific practice and intuitively grounded. -This tutorial is a short introduction to the FAIR principles and their origin. You can find out more at the [FAIR Pointers](https://elixir-uk-dash.github.io/FAIR-Pointers/ep1/index.html) online course. +This tutorial is a short introduction to the FAIR principles and their origin. You can find out more at the **FAIR Pointers module** at the [FAIR FAIR Data Management](https://training.galaxyproject.org/training-material/learning-pathways/fair-training.html) learning path. > > From 8f7d1377c93f714dd5e30d5e9b7ab80b0f1f996e Mon Sep 17 00:00:00 2001 From: Khaled196 <56037954+khaled196@users.noreply.github.com> Date: Mon, 29 Apr 2024 17:54:48 +0100 Subject: [PATCH 2/3] remove extra FAIR --- topics/fair/tutorials/fair-intro/tutorial.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/fair/tutorials/fair-intro/tutorial.md b/topics/fair/tutorials/fair-intro/tutorial.md index 4ed107c550576c..564e7e64edd4bf 100644 --- a/topics/fair/tutorials/fair-intro/tutorial.md +++ b/topics/fair/tutorials/fair-intro/tutorial.md @@ -35,7 +35,7 @@ subtopic: fair-data The FAIR (Findable, Accessible, Interoperable, Reusable) principles emphasize machine-actionability. The main objective of FAIR is to increase data reuse by researchers. The core concepts of the FAIR principles are based on good scientific practice and intuitively grounded. -This tutorial is a short introduction to the FAIR principles and their origin. You can find out more at the **FAIR Pointers module** at the [FAIR FAIR Data Management](https://training.galaxyproject.org/training-material/learning-pathways/fair-training.html) learning path. +This tutorial is a short introduction to the FAIR principles and their origin. You can find out more at the **FAIR Pointers module** at the [FAIR Data Management](https://training.galaxyproject.org/training-material/learning-pathways/fair-training.html) learning path. > > From edb4d7618dae45208d7662d7c0dcf53166e0c985 Mon Sep 17 00:00:00 2001 From: Khaled196 <56037954+khaled196@users.noreply.github.com> Date: Mon, 29 Apr 2024 19:24:53 +0100 Subject: [PATCH 3/3] fix link --- topics/fair/tutorials/fair-intro/tutorial.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/topics/fair/tutorials/fair-intro/tutorial.md b/topics/fair/tutorials/fair-intro/tutorial.md index 564e7e64edd4bf..1c549deebc6917 100644 --- a/topics/fair/tutorials/fair-intro/tutorial.md +++ b/topics/fair/tutorials/fair-intro/tutorial.md @@ -35,7 +35,8 @@ subtopic: fair-data The FAIR (Findable, Accessible, Interoperable, Reusable) principles emphasize machine-actionability. The main objective of FAIR is to increase data reuse by researchers. The core concepts of the FAIR principles are based on good scientific practice and intuitively grounded. -This tutorial is a short introduction to the FAIR principles and their origin. You can find out more at the **FAIR Pointers module** at the [FAIR Data Management](https://training.galaxyproject.org/training-material/learning-pathways/fair-training.html) learning path. +This tutorial is a short introduction to the FAIR principles and their origin. You can find out more at the **FAIR Pointers module** at the [FAIR Data Management]({% link learning-pathways/fair-training.md %}) learning path. + > >