geoscience data transfers standards: earthresourceml and geosciml, tools to deliver mineral...

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Geoscience Data Transfers Standards: EarthResourceML and

GeoSciML, tools to deliver mineral resources data in EU and

globally. The EU-MKDP example

Jouni, Vuollo1, Taina Eloranta1, Daniel Cassard 2, Robert Tomas3

and Chris Schubert3

1GTK, Rovaniemi, Finland, 2BRGM), Orléans, France 3 and JRC, Ispra, Italy

J Vuollo - 26th November 2014 – MINCE - First international conference on minerals in Circular Economy, Espoo, Finland

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OUTLINE OF THE PRESENTATION

• Why do we need geostandars – GeoSciML – EarthResourceML?

• Geostandards – GeoSciML and EarthResourceML

• Background of development

• What are these standards

• ERML 2.0

• Vocabularies for ERML

• How does GeoSciML and ERML Work?

• How to deliver Geology and Mineral Resource Data now and in the future by using standards – ERML

• Data delivery - examples


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• ERML 2.0



• How to deliver Geology and Mineral Resource Data now and in the future by using standards – ERML and GeoSciML

• Data delivery – examples


Why do we need geostandars – GeoSciML –

EarthResourceML?

Why we need geostandards – classifications –vocabularies now

Until now, classifications have tended to be country / state dependent,

Data delivery systems/ways are changing - > interoperability needs are here

Globalization – exploration companies are doing work all over the globe!

Spatial data infra in EU/INSPIRE implementation

Geology and Mineral Resource themes are based on these global

geostandards

4J Vuollo - 26th November 2014 – MINCE - First international conference on minerals in Circular Economy, Espoo, Finland

Modified from B Simons – 2013- Canberra 2013

Why EarthResourceML?


Why we need geostandards –classifications – vocabularies now

• How to find gold deposits from Europe – national databases

According to agreed EarthResourceML global commodity code list - 290 terms

• Minerals4EU will use this INSPIRE/global code list

Kulta-Au

золото

zloto

gold

gull

or

oro

Gold

guld

ouro

Western Australia Northern Territory

Why GeoSciML?

• The problem of incompatible data

Unit identifier

Age

Description


Modified from O Raymond/GA - 2013-CGI meeting

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• ERML 2.0



• How to deliver Geology and Mineral Resource Data now and in the future by using standards – ERML



A Brief History - GeoSciML

• 2003, Edinburgh - Starting point to develop Geostandard for geological society

– first international meeting held to begin harmonisation of geological data models developed in North America, Europe, and Australia

– several precursor projects were considered, including

• the North American Data Model (NADM)

• the Australian Exploration and Mining Markup Language (XMML)

• the Multi-Lingual Thesaurus of Geology

• First step was to develop GeoSciML and data model for deliver geological data• 2004, Ottawa & Florence

– CGI launched and its Interoperability Working Group (IWG) was formed

• 2004, Perth - first official meeting of the IWG GeoSciML Task Group

• 2005, Ottawa - GeoSciML version 1

• 2006, Orleans, Liege & Brussels

• 2007, Tucson & Melbourne - GeoSciML version 2

• 2008, Orleans, Uppsala & Oslo

• 2009, Quebec

• 2010, Rome

• 2011, Edinburgh

• 2012, Wellington - GeoSciML version 3

– Work under Open Geospatial Consortium (OGC)

• 2013, Redlands and St. Petersburg

• 2014, Tucson


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A Brief History - ERML

• Extension of GeoSciML v3.0

• Developed by Australian geological survey organisations

– Started 2006

– MineralResourceML v. 1.0 released 3/2007 and v. 1.1. 6/2009

– Australian Design Task Group

• Governance now with the CGI-IUGS (9/2010)

– Earth ResourceML Interoperability Working Group established –2010 September

– EarthResourceML v 2.0 released June 2012 – see http://www.earthresourceml.org

• Potential uptake by international community

– European projects/SDI’s accepted as a standard– INSPIRE – EURARE – EGDIScope – Minerals4EU


http://www.earthresourceml.org/

A Brief History – GeoSciML and ERML

• British Geological Survey, UK

• CSIRO, Australia

• Geological Survey of Canada

• US Geological Survey

• Arizona Geological Survey, USA

• Geological Survey of Japan

• Geoscience Australia

• Geological Survey of Victoria, Australia

• BRGM, France

• Geological Survey of Sweden

• Geological Survey of Italy (ISPRA)

• Geological Survey of Finland

• GNS Science, New Zealand

• Landcare Research, New Zealand

• BGR, Germany

• plus many observers

• and in 2013, the Open Geospatial Consortium

Contributing

Organisations


http://moodle.productivitypartners.com.au/moodle/file.php/1/dbi_flag_australia.gif






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• ERML 2.0







• A language for exchange of geoscience information

• Developed by IUGS Commission for Geoscience Information (CGI-IUGS)

• Based on North American Data Model (NADM)

• Covers data shown on geological maps (geology, boreholes)

• INSPIRE standard, moving to OGC standard (version 4)

GeoSciML


• Developed by GGIC now governed by CGI-IUGS

• Extension of GeoSciML

• Covering mineral occurrences, mines, mining activities, commodities, mining waste

• INSPIRE standard

ERML

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OneGeologyUses

part of

EarthResource

ML

Derived

GeoSciML

IUGS

CGI

IWG’s

ISO OGC

INSPIRE

Influence – use

parts of

MINERALS4EU

EURARE FODD

EDGI

Use/extend?

AuScope1G-E

Use/extend?

Aegos

ProMine


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INSPIRE

• What is INSPIRE

• INSPIRE is "an EU initiative to establish an infrastructure for

spatial information in Europe

• 34 different spatial themes

• INSPIRE has adopted both geostandards as a base on Geology

and Mineral Resource data specifications

• Geology – GeoSciML

• Mineral Resources – EarthResourceML and GeoSciML

(part)

•Overview

• http://inspire.jrc.ec.europa.eu/index.cfm/pageid/2 -

•Data models

• http://inspire.jrc.ec.europa.eu/index.cfm/pageid/2/list/datamodels


http://inspire.jrc.ec.europa.eu/index.cfm/pageid/2

http://inspire.jrc.ec.europa.eu/index.cfm/pageid/2/list/datamodels

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• ERML 2.0






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EarthResourceML

• Earth Resource: natural material of potential economic value

• Mining Feature: working on the Earth Resource

Earth Resource:

• Mineral Occurrence

• Commodity and Commodity Measure

• Ore Measure

• Mineral deposit model

• Exploration Activity (INSPIRE)

• Earth Resource Material

• Supergene processes (ex. alteration)

• Mineral system

Mining Feature:

• Mine

• Mining Activity

• Mined material

• Products

• Mining waste (INSPIRE)


EarthResourceML v 2.0 - EarthResource

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class MineralOccurrence

«FeatureType»

EarthResource

«estimatedProperty, voidable»

+ dimension: EarthResourceDimension

+ expression: Category [1..*]

+ form: Category [1..*]

+ linearOrientation: CGI_LinearOrientation [1..*]

+ planarOrientation: CGI_PlanarOrientation [1..*]

+ shape: Category [1..*]

«voidable»

+ sourceReference: CI_Citation [1..*]

«DataType»

SupergeneProcesses

«voidable»

+ depth: QuantityRange

+ material: EarthMaterial [1..*]

+ type: Category

«FeatureType»

MineralOccurrence

«voidable»

+ endusePotential: EndusePotentialValue [1..*]

«estimatedProperty»

+ type: MineralOccurrenceTypeValue

«FeatureType»

MineralSystem

+ associationType: Category

«Type»

MineralDepositModel


+ mineralDepositGroup: MineralDepositGroupValue [1..*]


+ mineralDepositType: MineralDepositTypeValue [1..*]

«DataType»

EarthResourceMaterial

+ earthResourceMaterialRole: EarthResourceMaterialRoleValue

+ material: EarthMaterial

«voidable»

+ proportion: QuantityRange

MiningFeature

«FeatureType»

Mine::MiningActiv ity


+ activityDuration: TM_Period

+ activityType: MiningActivityTypeValue

+ processingType: ProcessingActivityTypeValue


+ oreProcessed: Quantity

«FeatureType»

Mine::Product

+ product: ProductValue



+ grade: Quantity

+ production: Quantity

+ recovery: Quantity

«FeatureType»

Commodity

+ commodity: CommodityCodeValue


+ commodityImportance: ImportanceValue

+ commodityRank: Integer

«DataType»

EarthResourceDimension


+ area: QuantityRange [1..*]

+ depth: QuantityRange [1..*]

+ length: QuantityRange [1..*]

+ width: QuantityRange [1..*]

«DataType»

OreMeasure

+ classificationMethodUsed: ClassificationMethodUsedValue

+ date: TM_GeometricPrimitive



+ dimension: EarthResourceDimension


+ ore: QuantityRange

«voidable»

+ proposedExtractionMethod: Category

«DataType»

Endowment

«voidable»

+ includesReserves: Boolean

+ includesResources: Boolean

«DataType»

Reserv e

+ category: ReserveCategoryValue

«DataType»

Resource

+ category: ResourceCategoryValue

«voidable»

+ includesReserves: Boolean

«DataType»

CommodityMeasure


+ commodityAmount: QuantityRange

+ cutOffGrade: QuantityRange

+ grade: QuantityRange

«CodeList»

MineralOccurrenceTypeValue

«CodeList»

EarthResourceMaterialRoleValue «CodeList»

ResourceCategoryValue

«CodeList»

ImportanceValue

«CodeList»

CommodityCodeValue

«FeatureType»

ExplorationActiv ity


+ activityType: ExplorationActivityTypeValue

+ explorationResult: ExplorationResultValue [1..*]

«CodeList»

ExplorationActiv ityTypeValue«CodeList»

ExplorationResultValue

«CodeList»

ClassificationMethodUsedValue«CodeList»

EndusePotentialValue«CodeList»

MineralDepositGroupValue

«CodeList»

MineralDepositTypeValue«CodeList»

Reserv eCategoryValue

+composition

«voidable»

1..*

+oreAmount

«voidable»

1..*

+resultantResource

«voidable»1..*

+geneticDescription

«voidable»

1

+child

«voidable»

1..*

+parent

«voidable»

1

+supergeneModification

«voidable»

1..*

+producedMaterial

1..*

+measureDetails

1..*

+commodityOfInterest

1..*

+explorationHistory

«voidable»

1..*

+classification

«voidable»

1

+sourceCommodity

1

+resourceExtraction

«voidable»

0..*

+deposit1

+source

1

+commodityDescription

1..*


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class Mine

«FeatureType»

Mine

+ mineName: MineName [1..*]

+ status: MineStatusValue

«voidable»

+ endDate: TM_Instant [0..1]


+ startDate: TM_Instant

«DataType»

MineName

+ isPreferred: Boolean

+ mineName: CharacterString

«CodeList»

MineStatusValue

«DataType»

MinedMaterial

+ material: EarthMaterial

+ rawMaterialRole: RawMaterialRoleValue

«voidable»

+ proportion: QuantityRange

«FeatureType»

MiningActiv ity



+ activityType: MiningActivityTypeValue

+ processingType: ProcessingActivityTypeValue


+ oreProcessed: Quantity

«CodeList»

MiningActiv ityTypeValue

«FeatureTyp...

MiningFeature

«FeatureType»

MiningFeatureOccurrence

+ observationMethod: Category [1..*]

«voidable, estimatedProperty»

+ positionalAccuracy: Quantity

«voidable»

+ resolutionScale: MD_RepresentativeFraction

«FeatureType»

Product

+ product: ProductValue



+ grade: Quantity

+ production: Quantity

+ recovery: Quantity

«CodeList»

RawMaterialRoleValue«CodeList»

ProcessingActiv ityTypeValue

«FeatureType»

MiningWaste

+ wasteType: MiningWasteTypeValue

«voidable, estimatedProperty»

+ environmentalImpact: EnvironmentalImpactValue [1..*]

+ material: EarthMaterial [1..*]

+ wasteMeasure: MiningWasteMeasure

«voidable»

+ storageType: WasteStorageTypeValue [1..*]

«CodeList»

WasteStorageTypeValue

«CodeList»

MiningWasteTypeValue

«DataType»

MiningWasteMeasure

«voidable»

+ density: Quantity

+ grade: Quantity

+ volume: Quantity

«CodeList»

ProductValue

«CodeList»

Env ironmentalImpactValue

+associatedMine

«voidable»

1

+producedWaste

«voidable»

1..*

+rawMaterial

«voidable»

1..*

+producedMaterial

1..*

+relatedActivity

1..*

+specification

1

+occurrence

0..*

RelatedMines

+relatedMine

«voidable»

1..*

EarthResourceML v 2.0 – Mining Activity


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• ERML 2.0






Vocabularies for ERML

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• Now the ERML v 2.0 model has 24 code lists

• 21 hosted by IUGS/CGI

• 3 lists from other international organizations

• mineral names from IMA

• Products from Gensus.org

• Mining Waste types from EIONET

• See vocabularies

• http://def.seegrid.csiro.au/sissvoc/cgi201211/collection

• http://inspire.ec.europa.eu/registry/


http://inspire.ec.europa.eu/registry/

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EarthResourceML v 2.0 – Code lists


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• ERML 2.0



• How to deliver Mineral Resource Data now and in the future by using standards – ERML and GeoSciML



How Does GeoSciML and ERML Work?

GA

GTK

BRGM

USGS

GSCCanada

USA

France

Finland

Source databases

(eg, Oracle, ArcGIS,

PostGIS, MySQL)

Australia

Web mapping apps,

portals,

GIS applications,

modelling applications,

analytical tools

WWWINTEROPERABILITY

“My stuff works with your stuff”




GA

GTK

BRGM

USGS

GSCCanada

USA

France

Finland

Source databases

(eg, Oracle, ArcGIS,

PostGIS, MySQL)

Australia

WMS

WFS

WMS

WFS

WMS

WFS

WMS

WFS

WMS

WFS

GSC mapping

USGS mapping

BRGM mapping

GA mapping

GTK mapping

Transformation

from database to

GeoSciML/ERML

schema

Web

services

(eg, Geoserver, Snowflake, Deegree, Mapserver)

Web mapping apps,

portals,

GIS applications,


analytical tools

WWWGeoSciML-ERML

GeoSciML-Portrayal




WMS

WFS

WMS

WFS

WMS

WFS

WMS

WFS

WMS

WFS

GA

GTK

BRGM

USGS

GSCGSC mapping

USGS mapping

BRGM mapping

GA mapping

GTK mapping

Canada

USA

BRGM

Finland

Australia

WWWGeoSciML-ERML

GeoSciML-Portrayal

Many data formats One standard format

Web mapping apps,

portals,

GIS applications,


analytical tools



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• ERML 2.0






GeoSciML

• OneGeology portal (map data)

• OneGeologyEurope (map data)

• Groundwater Information Network

• USGIN (GeoThermal Data)


EarthResourceML

• AuScope portal (5 national surveys)

• ProMine (one database)

• EuroGeoSource (5 national surveys )


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• ERML 2.0






How to deliver Mineral Resource data – EU

Minerals4EU – EU-MKDP


Geostandards - Internet Resources

GeoSciML and ERML home• http://www.geosciml.org

• http://www.earthresourceml.org

IUGS – CGI – general info

• http://www.cgi-iugs.org/tech_collaboration/geosciml.html

• http://www.cgi-iugs.org/tech_collaboration/earthResourceML.html

Schemas

• http://schemas.geosciml.org

• http://schemas.earthresourceml.org

Vocabularies

• http://resource.geosciml.org

• http://def.seegrid.csiro.au/sissvoc/cgi201211/collection


http://www.cgi-iugs.org/tech_collaboration/earthResourceML.html

Making Mineral Resource Data for the Earth

Accessible MineralResource Portal

VISION 2020f

Mineral resource data -

AuScope - ProMine –

Minerals4EU (EU-

MKDP - INSPIRE - >

Global data

Minerals4EU


geoscience data transfers standards: earthresourceml and geosciml, tools to deliver mineral...

Data & Analytics

geostandards geosciml

circular economy

international conference

mineral resource data

italy j vuollo

mineral resources data

spatial data

data delivery systemsways