# Analyzing/mining specimen data for novel applications

**URL:** <https://discourse.gbif.org/t/analyzing-mining-specimen-data-for-novel-applications/2423>\
**Category:** Digital/Extended Specimen\
**Created:** [January 30, 2021, 5:01pm UTC](https://discourse.gbif.org/t/analyzing-mining-specimen-data-for-novel-applications/2423 "2021-01-30T17:01:39Z")\
**Posts on this page:** 1\
**Showing post:** 17

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**Author:** ![nickyn](https://sea1.discourse-cdn.com/gbif1/user_avatar/discourse.gbif.org/nickyn/32/416_2.png) [@nickyn](https://discourse.gbif.org/u/nickyn)\
**Post date:** [February 18, 2021, 11:49pm UTC](https://discourse.gbif.org/t/analyzing-mining-specimen-data-for-novel-applications/2423/17 "2021-02-18T23:49:58Z")

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> How do the extended/digital specimen (ES/DS) concepts help to address making specimen data widely usable for novel applications?

If we are trying to build a system of very interconnected data, then I would like to see some mechanism to search across ES/DS data using graph style queries, ie emphasising and properly utilising the links between records as much as attributes on the records themselves.

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