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INFORMATION MANAGEMENT
Maximising exploration data for discovery
Time wasted finding, cleaning and reformatting large volumes of data continues to be one of the biggest barriers to efficient analysis and knowledge development for discovery in exploration industries.
Last year, the Digital Universe grew by 62% to nearly 800,000 petabytes, according to a study released by IDC and EMC Corp. By 2020, we’ll have created 35 trillion gigabytes of data — much of that in the “cloud.”
As data volumes continue to grow, exploration organisations need new ways to deal with data and information – ensuring data is easily found when needed, and where needed, to inform decision-making on global project portfolios. This includes having solutions for:
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Cleaning and cataloguing data: The quality of source data, including metadata, is the foundation for all the analysis and interpretation that follows and forms the basis for exploration decisions.
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Efficient search and retrieval: Timely access to data is consistently cited as one of the biggest data management challenges. Time spent sourcing data takes away from more valuable exploration work.
- Sharing data and knowledge: Automation of how data, maps and interpretations generated from data, are stored and shared eliminates the risk of losing historical information and ensures project knowledge is transferable across global team members.
Five best practices for handling the data explosionBased on its experience helping companies effectively manage exploration data assets, Geosoft has come up with five best practices to make exploration data management more efficient. You can read more on this topic in the latest issue of Earth Explorer – Handling the Data Explosion. |
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Deploying targeted solutions for exploration management
To ensure their huge amounts of data are fully utilized throughout the project exploration lifecycle, Barrick has established a strategy to better organise and serve its geospatial data throughout the company. The initiative has provided an opportunity to take a fresh look at their data management practices, and target opportunities to optimise how datasets are found and utilised within their exploration team. |
Developments in geospatial technology for exploration
Two important recent developments in exploration technology have been the delivery of stronger spatial data access and management capabilities through the Internet, and advanced workflow support within GIS for integrating and analyzing geospatial data with geology and other exploration datasets. Both are helping explorers to work faster and smarter; and to make sense of larger amounts of digital data for exploration decision-making. |
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The benefits of knowledge management in exploration industriesWithin a few years, the critical gap between the demand for more exploration data, and the supply of expertise to process it, may widen past the point of no return. Having a strategy for knowledge management can help close the widening rift, ensuring exploration organisations retain knowledge that could lead to the next big discovery. |
The fundamentals of exploration data managementGeosoft has been helping exploration companies tackle their data management challenges for over 15 years. In 2003, Rio Tinto was progressive in adopting a data management solution for its terabytes of digital exploration data. Today the need for, and benefits of, preserving the value of exploration data are recognised industry-wide, and exploration companies of all sizes are deploying solutions to better manage their growing data assets. |
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