Difference between revisions of "Use case scenarios"
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Susanna Ånäs (talk | contribs) (Created page with "==Disasters== When a disaster hits, such as an earthquake, pandemic or conflict, Wikidocumentaries may be useful for making sense of the information. Here are some random tho...") |
Susanna Ånäs (talk | contribs) (→Complementing disaster mapping) |
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===Complementing disaster mapping=== | ===Complementing disaster mapping=== | ||
* HOT OSM Tasking Manager data may be good to present in Wikidocumentaries. Possible places include the main map for browsing data and all maps displaying areas of interest. They should be displayed by default, because no-one will look for them behind menus. | * HOT OSM Tasking Manager data may be good to present in Wikidocumentaries. Possible places include the main map for browsing data and all maps displaying areas of interest. They should be displayed by default, because no-one will look for them behind menus. | ||
| − | *OSM and Wikidata are powerful together. A linked geographic item makes available loads of information that can be used by the aid workers. These should be identified, and made into campaigns. | + | * OSM and Wikidata are powerful together. A linked geographic item makes available loads of information that can be used by the aid workers. These should be identified, and made into campaigns. |
| + | * Display external data and ingest. Identify what and how to store, how to visualize and make available. For example earthquake data: What is important? | ||
| + | |||
| + | ===Images=== | ||
| + | * Wikimedia Commons images should be easy to find regarding a disaster. SDC-tagging images would be very important to achieve this. | ||
| + | * Tapping into news image sources that might allow open licensing. Do they exist? | ||
| + | |||
| + | ===User contributions from the ground=== | ||
| + | * Identifying the needs. | ||
| + | * Geolocating | ||
| + | |||
| + | ===How can this help save lives=== | ||
| + | * Gather and visualize information from several sources to highlight crucial hazards, existing structures, historical data. | ||
| + | * Translate information. Articles should be automatically translatable on-the-fly from any language. | ||
| + | * Make available information from news sources in some way. | ||
| + | |||
| + | ===Other goals=== | ||
| + | * Identifying important topics. Make use of analyzing Wikipedia articles. | ||
| + | * Linking topics in a way they can be found and visualized | ||
Revision as of 13:55, 12 February 2023
Contents
Disasters
When a disaster hits, such as an earthquake, pandemic or conflict, Wikidocumentaries may be useful for making sense of the information. Here are some random thoughts that can be added to and elaborated over time.
Complementing disaster mapping
- HOT OSM Tasking Manager data may be good to present in Wikidocumentaries. Possible places include the main map for browsing data and all maps displaying areas of interest. They should be displayed by default, because no-one will look for them behind menus.
- OSM and Wikidata are powerful together. A linked geographic item makes available loads of information that can be used by the aid workers. These should be identified, and made into campaigns.
- Display external data and ingest. Identify what and how to store, how to visualize and make available. For example earthquake data: What is important?
Images
- Wikimedia Commons images should be easy to find regarding a disaster. SDC-tagging images would be very important to achieve this.
- Tapping into news image sources that might allow open licensing. Do they exist?
User contributions from the ground
- Identifying the needs.
- Geolocating
How can this help save lives
- Gather and visualize information from several sources to highlight crucial hazards, existing structures, historical data.
- Translate information. Articles should be automatically translatable on-the-fly from any language.
- Make available information from news sources in some way.
Other goals
- Identifying important topics. Make use of analyzing Wikipedia articles.
- Linking topics in a way they can be found and visualized
