Merge pull request #150 from StellaEggels/main

small text fixes on main page and replace community figure
nfdi4plants · Sep 19, 2024 · 5077fc8 · 5077fc8
2 parents 92875d3 + 3d22fb9
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diff --git a/src/content/mainpagecards/annotated-research-context.md b/src/content/mainpagecards/annotated-research-context.md
@@ -11,4 +11,4 @@ text-position: left
 
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-DataPLANT will allow users to store their data in form of an annotated research context. This includes not only the measurement data, but also (meta)data annotations, tools, and scripts. This will allow reproducibility plus to forward “raw data” and metadata slices to public repositories (e.g. EBI NCBI etc.).
+DataPLANT enables users to store their data in form of an Annotated Research Context (ARC). This includes not only the measurement data, but also (meta)data annotations, tools, and scripts. This will allow reproducibility and also forwarding “raw data” and metadata slices to public repositories (e.g. EBI, NCBI etc.).
diff --git a/src/content/mainpagecards/our-mission.md b/src/content/mainpagecards/our-mission.md
@@ -11,4 +11,4 @@ text-position: left
 
 ---
 
-DataPLANT’s mission is to provide a sustainable and well annotated data management platform for plant sciences. DataPLANT will pave the way from classical paper publication to pure data publication including the annotated research context
+DataPLANT’s mission is to provide a sustainable and well annotated data management platform for plant sciences. DataPLANT will pave the way from classical paper publication to pure data publication by making use of the Annotated Research Context (ARC).
diff --git a/src/content/mainpagecards/the-community.md b/src/content/mainpagecards/the-community.md
@@ -5,10 +5,10 @@ index: 2
 card-bg: white
 container-bg: darkblue
 emphasis-color: darkblue
-image: /images/funding-map.svg
+image: /images/community.svg
 learn-more-link: content/learn-more/the-community.html
 text-position: right
 
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-DataPLANT is primarily geared towards the needs of fundamental plant research (e.g. those represented by the DFG categories 202-[01 evolution and systematics of plants and animals, 04 plant physiology, 05 plant biochemistry and biophysics, 06 plant cell and developmental biology, 07 plant genetics]. As such DataPLANT is especially adapter to large scale data sets be it omics science or imaging and is ready to store petabaytes of annotated data.
+DataPLANT is primarily geared towards the needs of fundamental plant research (e.g. those represented by the DFG categories 2.12-[01 evolution and systematics of plants and fungi, 04 plant physiology, 05 plant biochemistry and biophysics, 06 plant cell and developmental biology, 07 plant genetics and genomics]). As such DataPLANT is especially adapted to large scale data sets, be it omics science or imaging, and is ready to store petabaytes of annotated data.
diff --git a/src/images/community.svg b/src/images/community.svg
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Expand Up		@@ -11,4 +11,4 @@ text-position: left

		---

		DataPLANT will allow users to store their data in form of an annotated research context. This includes not only the measurement data, but also (meta)data annotations, tools, and scripts. This will allow reproducibility plus to forward “raw data” and metadata slices to public repositories (e.g. EBI NCBI etc.).
		DataPLANT enables users to store their data in form of an Annotated Research Context (ARC). This includes not only the measurement data, but also (meta)data annotations, tools, and scripts. This will allow reproducibility and also forwarding “raw data” and metadata slices to public repositories (e.g. EBI, NCBI etc.).
Original file line number	Diff line number	Diff line change
Expand Up		@@ -11,4 +11,4 @@ text-position: left

		---

		DataPLANT’s mission is to provide a sustainable and well annotated data management platform for plant sciences. DataPLANT will pave the way from classical paper publication to pure data publication including the annotated research context
		DataPLANT’s mission is to provide a sustainable and well annotated data management platform for plant sciences. DataPLANT will pave the way from classical paper publication to pure data publication by making use of the Annotated Research Context (ARC).