Unify naming #208

src/content/articles/arc-data-hub-instances.md

@@ -5,14 +5,14 @@ description: ""
 
 ## ARC Data Hubs managed by DataPLANT
 
-### PLANTDataHUB
+### PLANTdataHUB 
 
-The [PLANTDataHUB](https://git.nfdi4plants.org) is the reference implementation of the ARC Data Hub concept as a collaborative cloud repository for ARCs based on GitLab.
+The [PLANTdataHUB](https://git.nfdi4plants.org) is the reference implementation of the ARC Data Hub concept as a collaborative cloud repository for ARCs based on GitLab.
 It contains self-hosting and federation options (for more info on that, [see the repository](https://github.com/nfdi4plants/DataHUB)).
 It implements [**C**ontinuous **Q**uality **C**ontrol (**CQC**) pipelines](https://arc-rdm.org/details/arc-data-hub/#continuous-quality-control) for ARC validation distributed via the [AVPR service](https://avpr.nfdi4plants.org), and a semi-automated data publication process for the [ARChive](#archive) based on CQC hooks.
 The [ARC Search](#arc-search) service can be used to search for ARCs across federated instances.
 
-The PLANTDataHUB is hosted at the University of Freiburg. To gain access, you can either create an account or login through your home institution or another identity provider like ORCID, Google, or Apple.
+The PLANTdataHUB is hosted at the University of Freiburg. To gain access, you can either create an account or login through your home institution or another identity provider like ORCID, Google, or Apple.
 To secure your data, the DataHUB Node Freiburg makes use of backup and resilience strategies provided through the backend.
 
 #### ARC Search

src/content/articles/collect-and-structure.md

@@ -1,18 +1,18 @@
 ---
 title: Create, structure and fill your ARCs
-description: Our tools ARCitect and ARCCommander simplify the creation, structuring and maintenance of ARCs.
+description: Our tools ARCitect and ARC Commander simplify the creation, structuring and maintenance of ARCs.
 ---
 
-The ARCitect and ARCCommander are two essential tools developed by DataPLANT that assist users with the creation and management of ARCs.
+The ARCitect and ARC Commander are two essential tools developed by DataPLANT that assist users with the creation and management of ARCs.
 ARCitect employs a graphical user interface to guide researchers in creating, organizing, and annotating research data, ensuring adherence to FAIR principles.
-ARCCommander complements ARCitect by offering robust management capabilities via the command line.
-By initializing a new ARC using ARCitect or ARCCommander, the ARC folder structure, including studies, assays, workflows and runs as well as subfolders is constructed.
+ARC Commander complements ARCitect by offering robust management capabilities via the command line.
+By initializing a new ARC using ARCitect or ARC Commander, the ARC folder structure, including studies, assays, workflows and runs as well as subfolders is constructed.
 ISA metadata files are automatically added to each study and assay and can be easily filled using the same tools.
 The tools provide structured assistance and automation with processes following the ARC specification.
-ARCitect and ARCCommander initialize your ARC as a git repository, allowing you to track changes of your ARC.
+ARCitect and ARC Commander initialize your ARC as a git repository, allowing you to track changes of your ARC.
 The tools can also be used to back-up and synchronize your ARC with the DataHUB as well as to download and modify ARCs from the DataHUB.
 Managing data throughout the research lifecycle is thus simplified.
 
 [Try ARCitect](https://nfdi4plants.org/nfdi4plants.knowledgebase/docs/ARCitect-Manual/index.html)
 
-[Try ARCCommander](https://nfdi4plants.org/nfdi4plants.knowledgebase/docs/ArcCommanderManual/index.html)
+[Try ARC Commander](https://nfdi4plants.org/nfdi4plants.knowledgebase/docs/ArcCommanderManual/index.html)

src/content/articles/task-areas.md

@@ -10,7 +10,7 @@ Besides the definition of metadata standards, the application of widely used ont
 These existing ontologies will then be iteratively adapted to the needs of researchers and their specific experiments in order to comprehensively describe workflows.
 
 The often-long path from the identification of a missing term to the final adoption into the descriptive reference ontology will be significantly shortened with minimal friction.
-A first approach to achieve this is pursued by DataPLANT’s developed tool SWATE.
+A first approach to achieve this is pursued by DataPLANT’s developed tool Swate.
 
 ## Task Area II – Infrastructural Community Support