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• Searching for one or more keywords in metadata or extracted full-text
• Faceted browsing through any field provided in the item description. 
  Search is an essential component of discovery in DSpace. Users' expectations from a search engine are quite high, so a goal for DSpace is to supply as many search features as possible. DSpace's indexing and search module has a very simple API which allows for indexing new content, regenerating the index, and performing searches on the entire corpus, a community, or collection. Behind the API is the Java freeware search engine Lucene. Lucene gives us fielded searching, stop word removal, stemming, and the ability to incrementally add new indexed content without regenerating the entire index. The specific Lucene search indexes are configurable enabling institutions to customize which DSpace metadata fields are indexed.
• Through external reference, such as a Handle

Another important mechanism for discovery in DSpace is the browse. This is the process whereby the user views a particular index, such as the title index, and navigates around it in search of interesting items. The browse subsystem provides a simple API for achieving this by allowing a caller to specify an index, and a subsection of that index. The browse subsystem then discloses the portion of the index of interest. Indices that may be browsed are item title, item issue date, item author, and subject terms. Additionally, the browse can be limited to items within a particular collection or community.

For more information on Search/Browse functionality in DSpace, see Discovery.

Supported file types

DSpace can accommodate any type of uploaded file. While DSpace is most known for hosting text based materials including scholarly communication and electronic theses and dissertations (ETDs), there are many stakeholders in the community who use DSpace for multimedia, data and learning objects. While some restrictions apply, DSpace can even serve as a store for HTML Archives.

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