# 20191220

## Experience team

### Done

* Insight from stories survey for the Content team reported back and available from ticket [#4862](https://github.com/wellcometrust/wellcomecollection.org/issues/4862)
* Improvement to book viewer to better associate the image number and thumbnail [#4546](https://github.com/wellcometrust/wellcomecollection.org/issues/4546)
* New designs reduce the height of the post-search search area on /works [https://app.zeplin.io/project/5aab926b4b6efde01259e959/dashboard?tag=Search%20Filters](https://app.zeplin.io/project/5aab926b4b6efde01259e959/dashboard?tag=Search%20Filters)
* Third round of wc.org site navigation tree testing completed and analysed, to be used in planning placement for site content [#1611](https://github.com/wellcometrust/wellcomecollection.org/issues/1611)
* Identifying appropriate metrics for a baseline for image search analysis [#4935](https://github.com/wellcometrust/wellcomecollection.org/issues/4935)
* A fix to allow Pocket/Instapaper/Safari Reader view to work properly [#2917](https://github.com/wellcometrust/wellcomecollection.org/issues/2917)

## Preservation team

### Done

* Improvements to S3 support merged into Archivematica's codebase
* Migrated digitised content replica to Glacier Deep Archive [#3501](https://github.com/wellcometrust/platform/issues/3501)
* Prepared Archivematica for born digital material and began migration [#4094](https://github.com/wellcometrust/platform/issues/4094), [#4089](https://github.com/wellcometrust/platform/issues/4089)

### Focusing on next:

* Born digital migration

## Data team

### Done

* Started the ingest of METS data (licences and availability) [#4083](https://github.com/wellcometrust/platform/issues/4083)
* Implemented a strategy for handling multiple manifestations on digitised items [#4082](https://github.com/wellcometrust/platform/issues/4082)

### Focusing on next

* Digitised status and copyright

### Current [search relevance tests](https://docs.wellcomecollection.org/catalogue/search_relevance/tests)

* AND: Takes the query, splits it into tokens on whitespace, and creates an AND query to match across multiple fields. e.g. ‘Heart starvation’ would only match works that had ‘heart’ AND ‘starvation’ in one of the searchable fields e.g. title, description etc
* Scoring tiers: Queries against different features of the data, such as title or contributors, differently. We then boost these accordingly to make sure more relevant works are surfaced first, and more loosely relevant works are included further down in the results.
