acQuire Neo

Code

aQ111

Description

acQuire Neo is an application designed for the rapid discovery of data stored in an acQuire Geoscientific Information Management System (GIMS). It uses an innovative and intuitive interface that removes the need to configure any underlying queries or interfaces to interrogate data as well as metadata. No specialist knowledge of the database or the acQuire Data Model (ADM) is required to query the database and get the required results. It presents the data in appropriate contexts for all types of personnel in the Natural Resources industry, including managers, geoscientists, database specialists and other technical professionals.

This unit provides you with an overview of how to use acQuire Neo.

Duration

3-4 hours

Who should attend?

This training session is designed for acQuire users, database managers and any person who needs to query and interrogate an acQuire database.

Prerequisite

A broad understanding of the concepts of geoscientific data is needed.

(No understanding or previous use of acQuire is required).

Learning Outcomes

On successful completion of this training session, participants should be able to:

1. Use the acQuire Neo interface.
   • Demonstrate an understanding of the interface terminology (e.g. library, canvas, view, grid, log)
   • Use the interface features (e.g. create a view, link views, sort data, filter data).
   • Use the library to store and categorise views (shared and personal) and to search for database items.
   • Use the acQuire Neo Help to find how to complete a required task.
   • Use filters and grouping to find the data you need.
   • Use linked views to filter data sets.
   • Create customised views using fields from various parts of the database.
   • Create log views for data interrogation.
   • View and launch documents (e.g. core photos, assay certificates).
   • Export data to Excel and Text formats.
2. Use acQuire Neo to query and/or interrogate the database
   • Query data over a reporting period.
   • Identify anomalous data (e.g. drillholes with high gold grades).
   • Identify observation and measurement data errors (e.g. geology not logged to bottom of hole).
   • Identify data completion (i.e. all sample data is available).
   • Compare different types of data in a drill log (e.g. geology, assay data).