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ASA Blog

May 10, 2016

 Blog Launch - Mining | Data | Cost | IoT

Emerging Trends in Mining Labor

May 12, 2016

 85K U.S. Mine Sites with Employment Data - Commercial Edition Available Here

March 1, 2016

 85K U.S. Mine Sites with Employment Data - Community Edition Available Here

February 28, 2014

 Overview of Workforce Trends in US Aggregate and Industrial Minerals Industries - SME Annual Meeting

2013

 Emerging Workforce Trends of the U.S. Energy and Mining Industries - National Academies Press

February 20, 2012

Emerging Workforce Trends in the U.S. Mining Industry - SME Annual Meeting

January 3, 2012

 Emerging Workforce Trends in the U.S. Mining Industry - White Paper (Sponsors: SME, NMA, NSSGA, and IMA-NA)

August 23, 2011 and November 9, 2011

Emerging Workforce Trends in Mining - Presentation to the National Academies.

 
September 1, 2011

 

Newest site launch. Replaces our original site from 2008

Jobs:

Mining labor to be in short supply

August 26, 2011

boy with haulpak in snowYour Future in mining....

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Silver charts on InfoMine.com

 

Comming! U.S. Mine Labor Updates

      Only .25% of the U.S. Labor pool is responsible for 13%-14% of the GDP every year. See how miners contribute to the U.S. economy...We will be expanding this section shortly. 

     This portion of the site will update and expand on a paper written on U.S. Mine Labor trends.

New! 85K U.S. Mine Sites

     Mining in the United States is responsible for 13%-14% of the GDP every year. See where these commodities originate.

     Commercial and No-Charge versions of of the the data list are available. Select here to download the Excel version. Want to know the difference? Select here to view the documentation or to contact us about the commercial version.

Virtual Data Rooms...

     Imagine being able to securely share project, assay, NI 43-101, JORC, M&A, financial or other sensitive company information with investors, your board, or field teams from a secure cloud location that also records who opened what documents and when. All this in a managed environment...no IT required. Contact us to hear more about our Virtual Data Rooms.

 Internal Social Media for Mining & Exploration ...

     Face it...Your knowledge base is mostly in your employee's and contractor's heads. What happens when that knowledge base leaves? Between 2009 and 2029 52% of mining labor will leave the business mostly due to retirement. Since the downturn in commodities, that rate is projected to be higher.

     Internal social media could be the answer to slowing the brain drain. Leverage the knowledge of your organization by brining together internal information and conversations along with emails, internal data, and external news sources in a single secure cloud environment.

PCDW - Project Control Data Warehouse ...

     Check out the first Open Source Style Data Warehouse Model. This model consumes project data and makes it available for complex consolidated reporting. For use by the project control community‚Ķwith license conditions but without a fee.

   The PCDW is built on the Open Data Warehouse Model (ODWM - see below). Very similar to the Open Source model, it provides a standard warehouse container, for use by the community with license conditions but without a fee. 

   ASA's mission is to provide and maintain the PCDW so that owners, developers, and vendors have a stable platform that can be openly shared. 

ODWM - Open Data Warehouse Model ...

    The ODWM is a model for building an Open Source Style data warehouse. The model provides a mechanism for delivering and maintaining standard, targeted data warehouses to a community using a model that incorporates many of the ideas from the Open Source model

ASA has released two white papers explaining why the ODWM concept works and the basics for how to construct an Open Data Warehouse.

Opening the Data Warehouse (click to open)

The Open Data Warehouse Model (click to open)

   The commoditization of data warehousing, particularly if it follows an Open Warehouse/Source trajectory has some profound implications for the Business Intelligence, Data Warehouse, and ERP markets.