- Resource tools
- Alternative files
- Editing resources
- Editing multiple resources
- Editing resource previews
- Resource status & access
- Sharing resources
- Deleting resources
- Related resources
- Version control
- Lockable metadata
- Geolocation
- CSV export
- Metadata report
- Resource commenting
- User rating of resources
- Usage history
- Resource locking
- Downloading multiple resources
- Image preview zoom
- Subtitles for Video Preview
- Annotating resources
Full text searching
ResourceSpace handles long text stored in metadata fields as follows:
- Keywords (tags) are only processed for the first 500 characters of any text* and simple search will use keywords present in this portion only
- To search the full text, use the option on advanced search page that utilises native database full-text indexing.
* If language translations have been entered for a field the character limit applies to each entered translation, not the total text length.
Finding resources with text stored in long text fields
A full text search is initiated by adding text in the 'Search all text' box on advanced search

The following examples give an idea of the methods from the advanced search page. Please note that these searches can take longer than normal searches. If you find that you are needing to use full text searches frequently, consider asking your system administrator to add more options to fixed list fields and adding these tags to resources.
- smile party
Find resources where text fields contain at least one of the two words. - +smile +party
Find resources where text fields contain both words. - +smile -party
Find resources where text fields contain the word smile, but don't include resources where 'party' is present
Configuring full text searching
The config option $node_keyword_index_chars can be configured to a different value than the default 500 characters e.g. $node_keyword_index_chars = 250;
WARNING: Increasing this value can seriously impact search performance. Relying on large text fields can result in unnecessary database bloat, pollution of search results and irrelevant keywords.