Time-Based Media Preservation Repository Use Cases:
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| Indiana University Use Case - Ingest of large audio and video files |
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Indiana University Use Case - Ingest of large audio and video files |
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- Output from time-based media digitization workflow is uploaded out-of-band to HPSS-based HSM system via PFTP, GridFTP, or Globus Online:
- Master (as large as 100-200GB), mezzanine, and derivative video files in .mov and/or .mp4 wrappers
- Master and derivative audio files in Broadcast WAV and .mp4
- Technical, process history, and descriptive metadata in XML files
- File checksums (MD5)
2. Fedora ingests / takes on management of content and metadata already stored in HPSS.
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| Indiana University Use Case - Dissemination of large audio-video files |
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| Indiana University Use Case - Dissemination of large audio-video files |
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Dissemination of large audio/video files
| Dissemination of large audio/video files |
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Primary Actor | Collection manager/curator |
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Story | Collection manager finds identifier for audio/video object for which he/she wants to download master or mezzanine file and makes request for file through locally-developed web application. Fedora is able to authorize download of file based on user's identity, permissions on object, and group membership information obtained via LDAP. File (may be as large as 200GB) is downloaded from HPSS to user-designated location. |
more to come...
Fedora Triplestore Use Cases:
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| Indiana University Use Case - Easy traversal against the triplestore |
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| Indiana University Use Case - Easy traversal against the triplestore |
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a. bottom up: Given an object, list all the parents of all levels
b. top down: For a collection, we would like to know hierarchical structure of the object, even the relationship stored on its children. would like to know how many children of the object and how many grandchildren for each of its children...
c. statistical information for the objects with particular datastream on repository level: for example, we need to know how many items have a PDF file for a particular collection.
A great many example queries that have proved useful in the past are documented here.
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| Indiana University Use Case - Support Flexible data model change |
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| Indiana University Use Case - Support Flexible data model change |
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