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Title | Art Tracks | Art |
Description | Overview Toggle navigation Art Tracks A project of Carnegie Museum of Art The Provenance Standard The Team Publications & Articles Mary Cassatt, Young Women Pickin |
Keywords | N/A |
WebSite | museumprovenance.org |
Host IP | 217.70.184.38 |
Location | France |
Site | Rank |
US$1,590,750
Last updated: 2023-05-14 17:17:04
museumprovenance.org has Semrush global rank of 6,653,659. museumprovenance.org has an estimated worth of US$ 1,590,750, based on its estimated Ads revenue. museumprovenance.org receives approximately 183,548 unique visitors each day. Its web server is located in France, with IP address 217.70.184.38. According to SiteAdvisor, museumprovenance.org is safe to visit. |
Purchase/Sale Value | US$1,590,750 |
Daily Ads Revenue | US$1,469 |
Monthly Ads Revenue | US$44,052 |
Yearly Ads Revenue | US$528,619 |
Daily Unique Visitors | 12,237 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
museumprovenance.org. | A | 10799 | IP: 217.70.184.38 |
museumprovenance.org. | NS | 10800 | NS Record: b.dns.gandi.net. |
museumprovenance.org. | NS | 10800 | NS Record: c.dns.gandi.net. |
museumprovenance.org. | NS | 10800 | NS Record: a.dns.gandi.net. |
museumprovenance.org. | MX | 10800 | MX Record: 50 fb.mail.gandi.net. |
museumprovenance.org. | MX | 10800 | MX Record: 10 spool.mail.gandi.net. |
Toggle navigation Art Tracks A project of Carnegie Museum of Art The Provenance Standard The Team Publications & Articles Mary Cassatt, Young Women Picking Fruit (detail), 1894. Carnegie Museum of Art, Patron Arts Fund, 22.8. Overview Art Tracks is an initiative of the Carnegie Museum of Art (CMOA) that aims to turn provenance in to structured data by building a suite of open source software tools. These tools transform traditional written provenenance records into searchable data, with an emphasis on existing data standards and a strong focus on building tools that are useful (and usable) across multiple institutions. Once we have converted our provenance information into structured data, we can ask complex questions like “Which works in our collection were in the same city in the same year?” or “Which artworks in our collection were owned by an artist whose work is also in our collection?” By doing more with the data we already have, we can discover gaps in knowledge, shape |
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