Guidelines for environmental information management in WB projects

1. Guidelines for environmental information management in WB projects Ángela M. Suárez-Mayorga Coordinator Team Biodiversity Information System of Colombia Boris Ramirez IABIN Thematic Networks Coordinator bramirez@iabin.net Washington DC, May 1, 2008

2. 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

3. 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

4. Data about organisms IABIN Thematic Networks specimens and observations SSTN species & specimens pollinators PTN pollinators information about species invasive species I3N invasive species Data about areas ETN ecosystems ecosystems protected areas PATN protected areas Images (pictures) Metadata (of biological resources, bibliographic, geospatial) Geospatial data GN What type of biodiversity information do I have?

5. How to assemble data? Data is only useful when combined IABIN is working in four areas at the same time: Semantic web – automated assembly over network Standards – agree on database format, individuals contribute Locate the data – Where the data is at Datawarehousing – specific people pull it together and maintain Effectiveness Cost $

6. 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

7. Guidelines addresses quality issues in 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.

8. Principles of data quality Methods and attributes for obtaining the data must be clearly established Proper documentation of datasets • METADATA Proper documentation of data • Data standards Data verification against authority resources (taxonomic authority files, tesauri) Data exchange in common formats

9. How the Guidelines address issues in • Controlledsources of methods and attributes • Controlledsources of valuesforattributes • Standardizedprocessesfor data recording • Taxonomicreferent • Methodologicalreferent • Geospatialreferent • Temporal referent • Sourcereferent Data capture and recording

10. How the Guidelines address issues in • Metadatastrategies • Recommendation of metadatastandards and capturingtools • Description of the use of international data standards • Recommendationstothe country level • Identification of thecollection (dataset) • Documentation of data

11. How the Guidelines address issues in • Recommendationsformanaging data in digital formats • Storing and physicalsecurity • Recommendedtoolsaccordingtothenationalcapacity • The IABIN network and thepublicknowledge • Data aboutorganisms • Data aboutareas • Images • Digitization of data • Data presentation and dissemination

12. How the Guidelines address issues in • 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 • Data presentation and dissemination

13. To start the process Select the most addecuate option Do you have data abour orgnisms? yes no Your dat a describe specimens orobservatiopns? yes Route No. 1 Do you have data about ecosystems/areas? no yes Your data describe species no yes Return to the first step no Your data describe protected areas? ¿Are your species pollinators? yes Route No. 6 Route No. 3 no yes no Route No. 5 Are your species invassive/alien? yes Route No. 4 no Route No. 2 Seesection 3.1.1 Seesection 2.2.4.3 Unknown Seesection 2.2.4.4 Unknown