CWR IMC Meeting, August 28 2007CWR IMC Meeting, August 28 2007

Cover Cover slideslideCrop Wild Genetic

Resources

The CWR PortalIMC MeetingAugust 28, 2007Bioversity International, Rome, Italy

Imke Thormann, Bioversity InternationalAnnie Lane, Bioversity InternationalDag Terje Filip Endresen, Bioversity International / Nordic Gene Bank

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KeywordsKeywords

A portal to crop wild genetic resources:

Taxonomy level metadata

Country level metadata Data exchange

CWR portal, IMC Meeting, August 28, 2007, Bioversity International, RomeCWR portal, IMC Meeting, August 28, 2007, Bioversity International, Rome3

Project partnersProject partners

International partners Bioversity International BLE, Federal Agency for Agriculture and Food,

Germany UNEP GEF, Global Environment Facility UNEP WCMC, World Conservation Monitoring

Centre FAO, UN Food and Agriculture Organization IUCN, The World Conservation Union BGCI, Botanical Gardens Conservation

International

National partners Armenia, Ministry of Nature Protection of the

Republic of Armenia Bolivia, Ministerio de Desarrollo Rural,

Agropecuario y Medio Ambiente Madagascar, Centre National de la Recherche

Appliquée au Développement Rural Sri Lanka, Department of Agriculture Uzbekistan, Plants Genetic Resources in

Central Asia and Caucasus

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CWR data networkCWR data network

ARMLKA

BOL

MDG

UZB

National Datasetsare shared with the central CWR GRIS application.

The centralCWR GRIS datasetand other relevantInternational datasetsare then shared with the CWR data portal.

EURISCO

SINGER

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Data Sharing SoftwareData Sharing Software CWR GRIS v.1.0 is based on

the GeoNetwork data management and data sharing software.

Other recommended data sharing alternatives could include DiGIR and PyWrapper:

- DiGIR, Distributed Generic Information Retrieval. [http://digir.net]

- PyWrapper is based on the BioCASE Python wrapper software. [http://www.pywrapper.org/]

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The data portal applicationThe data portal application

[http://cwrint.grinfo.net] The data portal application is tested to work

well with MS Windows, Mac OSX, Linux, FreeBSD...

The data portal is developed for the PostgreSQL database, but works well with many different database systems, through the ADODB database abstraction library.

The data portal is developed for UNICODEאבדו ضاإطقكغب ששچپچ

The data portal is Open Source and licensed as GPL 2.

The data portal is developed with the PHP5 programming language, with some maintenance scripts developed with Perl.

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CWR PortalCWR Portal [http://cwrint.grinfo.net] [http://cwrint.grinfo.net]

T

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CWR Portal - AboutCWR Portal - About

The CWR portal has an “About” section. Here you will find information pages about the content of the CWR portal.

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Explore the data Explore the data modelmodel

The database structure of the portal is based on the data model of the CWR GRIS.

The data portal uses the ADODB database abstraction library allowing for many different database systems.

You may explore the table definitions from the “Explore Data Model” option in the left side menu.

The data portal administrator may also modify or define new tables using the native database system.

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All the data from all tables can be explored using the “Browse Data Units” portal tool.

The administrator of the Data portal may modify the database table structures to add or remove columns without disturbing the generic data browse feature.

A data dictionary is used to provide metadata for popup tip and more to assist when exploring the data.

Explore database Explore database tablestables

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Search the CWR portal

There is a keyword search in the top menu to locate taxonomy level data.

The simple keyword search will give you fast access to the CWR name cache (CWR taxonomy names list).

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Search the CWR portal

The default search form works the same way for all the data units.

You may select any descriptor/column from a select list to build a filter condition.

You may search for an exact match, contains, larger than, less than…

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Search Results

You may modify the presentation of your search results to add more descriptors/ columns.

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Search Results

Or remove added descriptors/ columns again using the “x” in the column title.

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Search Results

You may modify how many hits to display per page.

When there are more search hits than you have selected to display per page, the navigation controls are displayed.

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Search Results

You may choose the order by column by clicking the column title

Selecting the same column again will give the reverse order.

Most column titles have a tip when you move the mouse over the title.

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Search Results

The letter bar offer a fast way to filter by the first letter of the order by column.

The letter bar follows the selected order by column.

You may filter by the first letter, the first two letters… etc.

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Search results

All the lists of taxonomy objects have a link to the “Taxon level metadata” page.

Country object lists have a link to the “Country level metadata” page.

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Taxonomy level metadata

Taxon and Country lists have a link to a summary of CWR metadata for the indexed external datasets.

You will also find links to other relevant online CWR resources – not indexed by the CWR portal.

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Country level metadata

For each country, you will also see the national flag and a outline map.

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Contact institutes and persons

Project institutes and persons including their CWR expertise is available from the “Contact institute, persons” link in the side menu.

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A simple image gallery

A simple image gallery for CWR resources is also part of the CWR portal.

Please help to contribute images and image metadata…

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WebGIS application

A WebGIS application is under development for the CWR portal.

CWR occurrence data from the National Inventories will be displayed with the UMN MapServer and Mapbender.

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OutlookOutlook

The compatibility of data standards between PGR and other biodiversity collections made it possible to integrate the worldwide ex situ germplasm collections into the biodiversity community.

Using GBIF technology (and contributing to its development), the PGR community can easily establish specific PGR networks without duplicating GBIF's work.

Use of GBIF technology and integration of PGR collection data into GBIF allows PGR users to simultaneously search PGR collections and other biodiversity collections, and to get access to the data (and possibly the material) of relevant biodiversity collections.

The Crop Wild Resources could also build on the experiences of the ex situ genebank collections to improve the compatibility with the GBIF/TDWG technology and standards…

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Thank you for listening!