Changes between Version 8 and Version 9 of Curation Module
- Timestamp:
- 11/05/15 15:07:15 (9 years ago)
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Curation Module
v8 v9 67 67 === Identified Use Cases === 68 68 69 ==== Use Case 1 – Metadata Editor checks the validity of newly created record ====69 ==== Use Case 1 – Metadata Creator checks the validity of newly created record ==== 70 70 * Title: Check validity of metadata record 71 * Actor: MD Author / Editor71 * Actor: MD Creator 72 72 * Level: User Goal 73 73 * Main Success Scenario:[[BR]] … … 78 78 79 79 80 ==== Use Case 2 – CMDI Admin checks the quality of newly created profile====80 ==== Use Case 2 – MD Modeler checks the quality of profiles ==== 81 81 * Title: Check quality of profile/schema 82 * Actor: CMDI Editor82 * Actor: MD Modeler 83 83 * Level: User Goal 84 84 * Main Success Scenario:[[BR]] … … 111 111 === Requirements === 112 112 * Curation module will be integrated in VLO workflow. It has to provide VLO with normalized MD records for further (post-) processing and ingestion in SOLR. Since there are already huge number of records (currently 800K) and this number grows every week, curation module has to be performable. 113 * Ability to provide validation and / or assessment service for metadata authors (editors). 114 * Data provider can assess MD repository. 115 * Curation module has to provide service for CMDI admin of CMDI profile/schema assessment. 116 * Curation module must be able to work with single record and with collections. 117 * Ability to work with CMD records (instances) and CMDI profiles/schemas. 113 * Ability to provide validation and / or assessment service for metadata creators (on instance level). 114 * Curation module has to provide service for CMDI profile/schema assessment for for MD modeler. 115 * Curation module must be able to work with single record and with collections in batch mode. 118 116 * Local and remote invocation. 119 117 * Implementation of curation workflow includes following steps: schema validation, URL inspection, value validation against vocabularies and normalization. 120 118 * Feedback about errors, per record or per collection. 121 119 * Feedback about quality: score, facet coverage. 122 * Optional, ability to provide instructions how to improve md quality. 120 * Provision of instructions on MD improvement. 121 * Time dimension, keep track of quality in time for analysis. 123 122 124 123 ----