Here is how I imagine a user would approach SciCat. Basics are known but only in a fuzzy way.
1) Front page of SciCat says in a very short form (2 to 3 sentences):
Present benefits when using SciCat besides FAIR data
What SciCat is meant for (finding back data, eg to have an overview which data are used for users analysis)
Present the most prominent features (How to search, publish datasets, request a DOI, retrieve datasets),
Highlight data structures: guide the user through Dataset, Proposals, Instruments, Sample. Say which is most elaborated and plans.
Emphasize it's about the meta data. Data access is not necessarily granted but can be added (site-specific decision, link to site-documentation of SciCat?)
Mention the difference if authenticated or anonymous (user can see meta data of those he has right too and public otherwise only public).
2) More details per respective features mentioned above. In addition potential actions users may want to do after data taking and ingestion.
How to change some fields after ingestion
How to view history of changes to a dataset
How to group and tag datasets
How to group and tag grouped datasets
3) Trouble shooting/features under development/Known issues
Here is how I imagine a user would approach SciCat. Basics are known but only in a fuzzy way.
1) Front page of SciCat says in a very short form (2 to 3 sentences):
2) More details per respective features mentioned above. In addition potential actions users may want to do after data taking and ingestion.
3) Trouble shooting/features under development/Known issues
4) Glossary