• What IS Technical Data?

    The fundamental information that underpins all your analysis, evaluation, reporting and decision making

    These days its so much more than the alphanumeric base data we are used to…


Technical Data Management Specialists

There is one thing on which all of the very competent exploration and mining analysis, evaluation and management applications rely on. It’s the same thing that the new emerging technologies from artificial intelligence and big data to block-chain and quantum computing rely on for successful outcomes

An underlying foundation of sound, complete, accurate, secure and accessible technical data

GDD’s Data Philosophy

Whether you’re a Vulcanologist, a Data-Miner, a Surface Packer, develop Very Small Mines or you just like to Leap Frogs, you need to assemble and manage your technical data competently

Managing this master data in a logically organised, independent and auditable data management environment allows more rapid and accurate analysis, interpretation and decision making, enhancing both the outcomes, their confidence, and reducing project risk

In a nutshell, GDD’s philosophies include the following –

  • Accept the critical need for competent a master working technical data set for all projects
  • Understand what constitutes your master technical data; it’s far more than letters and numbers these days….
    • Visible
    • Accessible
    • Auditable
    • Current
  • Fully appreciate the true value of this technical data collection
  • Intentionally plan and proactively manage how you technical data acquired, stored and protected
  • Create and ‘encourage’ clear data management standards and procedures, and data governance guidelines
  • Train your own people in these areas to retain full control of this critical project asset

So How GDD Can Help …?

GDD Services

GDD can help you-

  • Understand the value and importance of your master technical data resource
  • Analyse, distil, identify, assemble, organise, integrate and secure this data
  • Migrate your master data into a robust database environment, and link your secondary and supporting files to this data
  • And make it readily accessible! – ALL of it.

GDD’s Services include –

  • Technical Data Management – All aspects of exploration and mining life-cycle data design, implementation, analysis and management
  • Data Hosting – Hosting, organisation and management of your project data
  • Geological Consulting – Exploration and mining consulting, resource and reserve estimation, independent reviews and audits across the full mining life-cycle
  • Training – GDD provide training in all aspects of these services to increase your internal skill levels and self-reliance

GDD Data Solutions

GDD provide technical data management applications including –

gPick Resources Database Applications

  • gPick database systems to enable you to organise, manage and deliver your master technical data where its required

geoUte – Data Management Utilities

  • geoUte Utilities to catalogue, identify, validate and assemble your data to get it into your database in the first place

gNeric – Generic Database Function Capabilities

  • gNeric functions and capabilities that can be incorporated into custom database applications providing broad and powerful functionality in short order

Our Experience

So what gives us the right to claim this?

Very simply, 30+ years building around 100 database systems for more than 60 clients in multiple commodities around the world

Underpinned by the many geological and mining data analysis, resource and reserve estimation, reconciliation and management projects we have undertaken along the way

A listing of some of our projects can be found HERE

Andy’s ‘Andy Tips – No. 27

Preserving Original Data Values

One of the primary goals in recording and assembling data is (or should be) to preserve where possible the original observation, log or measurement data, so it can be reconciled back to related original documents, thereby providing a clear audit trail

While this approach relates to almost all data collected, two common examples are the recording of drillhole logging depths, and original analysis or assay results.

In coal logging, depth corrections are applied based on the geophysical log; preserving the original ‘as logged’ depth is important for audit reasons

Similarly, recording the original reported values for assays is important for verification, as the ‘working’ value will be set to (often) half the detection limit in the example above. In understanding statistical analysis exercises (for example), it is important to be able to identify these ‘BDL’ values, or more importantly ‘above detection limit’ values that may be present

Read Andy’s Article