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When providing the search results, the SWR Catalogue will display a dataset or knowledge source to a user and show in which external repositories are, e.g., such a dataset available. The SWR also provides metadata, data & knowledge validation, among others, checks automatically persistence of available data/knowledge (e.g. if a dataset uploaded into Zenodo still exists or if a Web service endpoint is still alive and providing data). https://github.com/soilwise-he/Soilwise-userstories/issues/18
When providing the search results, the SWR Catalogue will display a dataset or knowledge source to a user and show in which external repositories are, e.g., such a dataset available. The SWR also provides metadata, data & knowledge validation, among others, checks automatically persistence of available data/knowledge (e.g. if a dataset uploaded into Zenodo still exists or if a Web service endpoint is still alive and providing data). https://github.com/soilwise-he/Soilwise-userstories/issues/18
Origin: D1.3 Repository architecture
With acceptance criteria:
Display a Dataset
Users can search for datasets using keywords, filters (e.g., date range, author), and advanced search options.
Search results for datasets are displayed within 2 seconds for typical queries.
Datasets are displayed in a user-friendly format with information about title, source, publication date, and summary.
The user shall be able to view detailed information of the dataset by clicking on the search result, which opens a detailed view page.
Users can sort datasets by columns (e.g., date, title).
Datasets with more than 50 entries are paginated.
Users can navigate between pages using 'Next', 'Previous', and direct page number buttons.
Display a Knowledge Source
Users can search for knowledge sources using keywords, filters (e.g., publication year, author), and advanced search options.
Knowledge source search results are displayed within 2 seconds for typical queries.
Each knowledge source is displayed with metadata including title, author, publication date, abstract, and source URL.
Users can view the full text of the knowledge source directly or via a provided link.
Knowledge sources are categorized (e.g., articles, books, reports).
Users can filter search results by category.
Show Originating External Repositories
Each document in the search results displays the originating external repository.
Users can view a list of all external repositories included in the search.
Users can click on the repository name to view more details (e.g., repository description, URL).
The user shall be able to filter search results by external repositories.
Display Linked Items
Each document displays related documents or references as linked items.
Linked items are displayed as clickable links.
Clicking a linked item shows its detailed metadata and a content preview.
Display Duplicities
The system automatically identifies and flags duplicate documents in the search results.
Users are notified of duplicate documents and can choose to view or ignore duplicates.
The system shall provide an option to merge duplicate entries and keep the most relevant information.
Display Broken Links
The system automatically checks for broken links during data ingestion and periodically thereafter.
Users are notified of broken links with a clear message and the option to report or ignore the issue.
Broken links are highlighted in search results, and users can view a list of all broken links.
Data Quality Assurance
The system performs automatic checks to ensure data integrity (e.g., correct formats, valid values).
Each document displays a quality score or indicator based on predefined quality metrics (e.g., completeness, accuracy).
Requirement: Data Completeness (only internal use, no reporting!!)
The system shall ensure that all mandatory metadata fields (e.g., title, author, publication date) are present for each dataset and knowledge source.
Internal administrators/actors shall be able to view a completeness score or indicator for each search result.
The system shall allow users to submit feedback or report incomplete data for improvement.
Requirement: Checks Automatically Persistence of Available Data/Knowledge
The system shall periodically verify the availability of datasets and knowledge sources in their originating repositories.
The user shall be notified if a dataset or knowledge source is no longer available, with the option to remove it from the search results.
The system shall log and report the persistence status of each dataset and knowledge source, providing a history of availability checks.
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