guidelines for environmental information management in wb projects

www.iabin.netwww.iabin.net

Guidelines for environmental Guidelines for environmental information management in information management in

WB projectsWB projects

Washington DC, May 1, 2008Washington DC, May 1, 2008

Boris Ramirez Boris Ramirez IABIN Thematic Networks CoordinatorIABIN Thematic Networks [email protected]@iabin.net

Boris Ramirez Boris Ramirez IABIN Thematic Networks CoordinatorIABIN Thematic Networks [email protected]@iabin.net

Ángela M. Suárez-MayorgaÁngela M. Suárez-MayorgaCoordinator TeamCoordinator TeamBiodiversity Information System of ColombiaBiodiversity Information System of Colombia

Ángela M. Suárez-MayorgaÁngela M. Suárez-MayorgaCoordinator TeamCoordinator TeamBiodiversity Information System of ColombiaBiodiversity Information System of Colombia


World Bank projects are investing significant resources to collect biological and geospatial data not only in environmental projects, but also in agriculture, infrastructure, and rural development projects


Internet changed the world Internet changed the way we see

the world Internet is a worldwide, publicly

accessible series of interconnected computer networks that transmit data using the standard Internet Protocol (IP)

The World Wide Web is a huge set of interlinked documents, images and other resources, linked by hyperlinks and URLs.

Web services also use HTTP to allow software systems to communicate in order to share and

exchange business logic and data.

Data is using for multipurpose


What type of biodiversity information do What type of biodiversity information do I have?I have?

specimens and observations

information about species

ecosystems

protected areas

pollinators

invasive species

Metadata (of biological resources, bibliographic, geospatial)

Images (pictures)

Data about organisms

Data about areas

SSTN

PTN

I3N

ETN

PATN

IABIN Thematic Networks

species & specimens

pollinators

invasive species

ecosystems

protected areas

Geospatial data GN


How to assemble data?How to assemble data?

Data is only useful when combinedData is only useful when combined IABIN is working in four areas at the IABIN is working in four areas at the

same time:same time: Semantic web – automated assembly over Semantic web – automated assembly over

networknetwork Standards – agree on database format, Standards – agree on database format,

individuals contributeindividuals contribute Locate the data – Where the data is atLocate the data – Where the data is at Datawarehousing – specific people pull it Datawarehousing – specific people pull it

together and maintaintogether and maintain

Cost $ Effectiveness


World Bank Business In environmental, agriculture, infrastructure,

and rural development projects: Data collected are often full of errors and sometimes

unusable for other projects. Data access and manipulation is almost impossible if

raw data are being collected with poor documentation of field techniques and without standards

The GIS files are not documented. Data difficult to locate or disappear after the project

ends. Then another investment is needed to collect data to

be useful

Resources are not invested efficiently


Data capture and recording at the time of gathering

Data manipulation prior to digitisation

Identification of the collection and its recording

Digitization of the data

Documentation of the data

Data storage and archiving

Data presentation and dissemination

Data analysis and manipulation (use)

Chapman, A. D. 2005. Principles of data quality. Global Biodiversity Information Facility., online publication.

Guidelines addresses quality issues inGuidelines addresses quality issues in


Methods and attributes for obtaining the data must Methods and attributes for obtaining the data must be clearly establishedbe clearly established

Proper documentation of datasetsProper documentation of datasets METADATAMETADATA

Proper documentation of dataProper documentation of data Data standardsData standards

Data verification against authority resources Data verification against authority resources (taxonomic authority files, tesauri)(taxonomic authority files, tesauri)

Data exchange in common formatsData exchange in common formats

Principles of data qualityPrinciples of data quality


How the Guidelines address issues inHow the Guidelines address issues in

Data capture and Data capture and recordingrecording

• Controlled sources of methods and attributes

• Controlled sources of values for attributes

• Standardized processes for data recording

• Taxonomic referent• Methodological referent• Geospatial referent• Temporal referent• Source referent


• Identification of the collection (dataset)

• Documentation of data

• Metadata strategies• Recommendation of

metadata standards and capturing tools

• Description of the use of international data standards

• Recommendations to the country level



• Digitization of data

• Data presentation and dissemination

• Recommendations for managing data in digital formats

• Storing and physical security

• Recommended tools according to the national capacity

• The IABIN network and the public knowledge

• Data about organisms• Data about areas• Images




• Data presentation and dissemination

• The IABIN network and the public knowledge

• Data about organisms• Data about areas• Images

• Intellectual Property Rights• Licenses for use of the

data• Correct attribution of data• Data:

• value vs cost


yes

Select the most addecuate optionSelect the most addecuate optionDo you have data abour orgnisms?

no

yes

Do you have data about ecosystems/areas?

no

Route No. 5

yes

Route No. 6

Your data describe protected areas?

Your dat a describe specimens orobservatiopns?

Your data describe species

Return to the first step

¿Are your species pollinators?

Route No. 3no

yes

no

To start the process

no

yesRoute No. 1

no

yes

Are your species invassive/alien?

yesRoute No. 4

no

Route No. 2

See section 2.2.4.3 Unknown

Unknown

See section 2.2.4.4

See section 3.1.1

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