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Biodiversity Databases Robert Colwell University of Connecticut Shahid Naeem

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Page 1: Biota: The Biodiversity Database Managerseek.ecoinformatics.org/attach?page...5 Biota’s origin Biota was initially developed for Project ALAS (The Arthropods of La Selva Project)

Biodiversity DatabasesRobert Colwell University of Connecticut

Shahid Naeem

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Specimens are the fundamental particles of biodiversity

Only individual organisms, living or in collections, carry biodiversity information.Everything we know about biodiversity ultimately arises from taxonomically and spatially referenced individuals:

What they are. Where they are.How many individuals there are and in what density.How many species there are in a place.How many places a species is found.

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Kinds of biodiversity databases

Specimen databases: spatially and taxonomically referenced records of individualsSpecies databases: spatially and taxonomically referenced records of species’ presence or approximate abundance Spatial range databases: spatially and taxonomically referenced polygons representing species’ presence

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What is Biota?

A biodiversity data and collections management application for taxonomically and spatially referenced specimen dataWebsite: http://viceroy.eeb.uconn.edu/biota

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Biota’s origin

Biota was initially developed for Project ALAS(The Arthropods of La Selva Project).

An inventory of 100 families, superfamilies, and orders of insects, mites, and spiders in lowland Costa Rican rainforestNearly 300,000 specimens in 12,412 species, including 203 holotypes and 1239 paratypes7 PI's and >100 systematist collaborators from 50 Costa Rican, North American, and European institutionsFunded by NSF from 1994 through 2006Website: http://viceroy.eeb.uconn.edu/alas/alas.html

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Early visitors to the ALAS laboratory made clear that a generalized version of Biota would fill unmet needs.Version 1 released for Mac OS in December 1996; for Windows in June 1997.Ten free updates for registered users (1997–2002) each with new features and tools suggested by users.Biota Version 2 was released in later 2003, with major new features.

Biota’s history

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Who uses Biota today?

About a thousand users in more than 30 countries, 44 US States (based on sales and registrations).Individual researchers in ecology, systematics, biogeography, and conservation biology.Biodiversity inventory projects.Natural area and field station managers.Museums, herbaria, botanical gardens, and private collectors/observers.

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A few technical details (Biota 2)

Platforms: Windows 98/2K/ ME/XP/NT4, Mac OS 9/ X (native)Formats: Desktop (stand-alone) or multiplatform Client/Server. Onboard web server supports web clients.Data Files: Instantly interchangeable between all formats and platformsEngine: 4th Dimension 6.8; beta version in 4D 2004 (www.4D.com)

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Documentation: A 600-page pedagogical Manual with Tutorial plus in-context help Support: By email, normally within 24 hoursUpdates: Free maintenance updates for registered users.Publisher: Sinauer Associates (since 1996) (www.sinauer.com)

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Financial considerations

Market niche: An off-the-shelf, low cost ($200 for desktop version) biodiversity data management solution for individuals, projects, and institutions.Development costs: NSF until 1996; University of Connecticut (my salary).Pricing: Fair profits for the publisher plus developer royalties sufficient to cover ongoing costs of development tools and engine licensing. (Biota has been self-supporting since 1996).

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Biota design objectives

Maximize user autonomy (self-training possible and no on-site support required).Minimize structural complexity, while implementing key relational properties of specimen-based data.Flexibility, customizability, and scalability.Open administrative access to all tables and keys.Comprehensive import tools for legacy data.Comprehensive export tools to guarantee future access to data.

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An industrial approach to specimen preparation and data management

Parataxonomists carry out most steps.Specimens individually barcoded and databased.Special tools optimized for inventory workSpecimen loan system to track material sent to collaborators and to comply with INBio agreement.

Early development based on ALAS needs

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Relational database structure

An indented table shares some features with a relational database.

Each distinct entry is made only once.Columns correspond to tables, rows to records.Each record in one table may be a linked to one or many records in another table. In a hierarchy of tables, we may speak of parent and child records.The relational model can accommodate any logical structure, not just hierarchies.

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Family Genus Specific Name

caoutchoucCentropogon

erianthus

laxifloraLobelia

salicifolia

ecuadoriensis

sanguineus

scandens

Anthopterus verticillatus

forreroi

gilgiana

leucantha

lindauiana

nodosum

peruvianum

reginaldi

bullata

cf. ericae

coccoloboides

glabra

Macleania

Ceratostema

Cavendishia

Ericaceae

Siphocampylus

Campanulaceae

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Biota is structured around 14 Core Tables.The taxonomic hierarchy includes the Specimen table and a table for each of the seven obligatory taxonomic ranks: Species, Genus, Family, Order, Class, Phylum, and Kingdom.The place hierarchy has two levels.

The Collection table records data for collecting events.The Locality table records the location of one or more collecting events.

Biota’s relational structure: Core Tables

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Literature references are recorded in the Referencestable.Names and contact data for collectors, preparators, borrowers, project participants, and authors of notes are recorded in the Personnel table.To keep track of specimen loans, the Loans table records which specimens have been loaned, borrowed, and returned. Changes in Specimen identification are recorded in the Determination History table.

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20 Peripheral Tables keep track of supporting or ancillary data related to Core Table records.

Auxiliary FieldsNotesProjectsLinking tables

…etc.

Biota’s relational structure: Peripheral Tables

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Geunus Recores

Data Table: All Records

Current Selection Record Set

Record Set Pointer File

Four representations of records

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Entering data Updating recordsFinding records (queries) Working with Record SetsImporting and exporting data to text filesDisplaying, printing, and publishing dataMaintaining database integrity and security

Database tasks

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Tools carry out specific tasks forIndividual recordsAll records in a tableA selection of records from a tableLinked records in two or more tablesA Record Set for a tableA pair of Record Sets for a table

Database tools

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Data can be entered directly in any Core table, or “on the fly” from any table lower in the taxonomic or place hierarchy.We will now take a look at the Input Screens for the four principal Core Tables (“SSC & L”):

SpecimenSpeciesCollectionLocality

Entering data

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Intelligent date handling International or US date format for data entryInternational, US, or ANSI date format for exportComplete or partial dates:

Day-Month-Year (or Month-Day-Year)Month-Year onlyYear only

Mixed full and partial dates for date rangesAutomatic recording or record creation and revision dates

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Complete date range

Month only

Year only

Record creation and revision dates

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“Guest” Specimen records can be linked many-to-one with “host” Specimen recordsCollection data for hosts and their guests is separately recordedExamples: Parasites and hosts, herbivores and plants, DNA and organs, organs and donorsMulti-level (recursive) host-guest records are supported

“Host-guest” relationships

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Georeferenced locality data Multiple input/export formats for latitude and longitude

Degree/Minutes/SecondsInteger degrees/decimal minutesDecimal degrees (internal format): up to 6 places (1 cm) accuracy

Alternate coordinate systems (UTM, Lambert, TRS, State Plane, etc.)

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Relational literature reference system Reference table accommodates journal articles, books, book sections, and online resources. “Go to URL” button for any reference.Link any number of Reference records with any number of SSC or L records.Enter References directly or from linked SSC or L records.Display all linked SSC or L records for a given Reference or all References for a given SSC or L record. Import References directly from EndNote and other reference managers (tab-delimited text).

Tools common to Species, Specimen, Collection and Locality tables: References

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Image management system: Input Link any number of Image records to each SSC or L record.Enter images from files, the clipboard, or directly from TWAIN devices (scanners, digital cameras).Create a thumbnail in the Biota Data File, linked to a full image file on disk, or import a full image to Biota.

Tools common to Species, Specimen, Collection and Locality tables: Images

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Image management system: EditingUse Biota’s onboard Image Editor to crop, enlarge, or apply Photoshop-style filters to images.Link, import, or export images in any of 10 QuickTime image formats (including JPEG,TIFF, BMP, & Photoshop), or transform from one format to another.Compress image files from within Biota, using any of 14 QuickTime compression codecs.

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Image management system: ComparisonUse the Zoom button to display a full image from disk.Input screens: Compare up to 4 images linked to the same record.Listing screens: Compare up to 4 images for any selection of records.

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NotesLink any number of Notes records to each Species, Specimen, Collection, Locality or Loan record.Note Records, like all other alphanumeric records, are searchable and exportable.

Tools common to Species, Specimen, Collection and Locality tables: Notes

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Define and name any number of additional fields (Auxiliary Fields, each 80 characters in length) for SSC or L tables.Define any number of Projects within a Data File, each with its own set of Aux Fields.Each Aux Field can belong to just one Project or be shared by many Projects.Compare Aux Field data for any selection of records in matrix format.

Customizing Biota: Projects and Auxiliary Fields

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Support for automated entry of collecting data and specimen determinationsA system for recording partial determinationsAutomatic recording and updating of determination historiesSoftware tools for handling barcodes

Special tools for inventories

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Rapid input of new records for specimens that share collection dataRapid addition of identifications for specimens that share determination data

Automated entry of collecting data and specimen determinations

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Fogging collection

Berlese collection

Malaise collection

Blacklight collection

Sort by Species

Species 1

Species 2

Species 3

Species n

Apply barcodes Record Collection data

Read barcodes Record identifications

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Partial identifications (ID’s above the species level) are important dataLinking Specimen records with higher taxa:

An undetermined ant is recorded as Genus (Formicidae), Species (Formicidae), Family FormicidaeTemporary taxon (parenthetical) records can be generated automatically from input or import

A system for recording partial determinations

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Biota can record all stages of identification, from partial to definitive determination.Determination history records are updated automatically:

By whom changedDate changedWhere changed: specimen, species, genus

Automatic recording and updating of determination histories

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Assignment of records to a SetReduction of a Set to a SubsetUnion of two Sets (in either A or B)Difference between two Sets (in A but not in B)Intersection of two Sets (shared records)Intersection complement (unshared records)Saving Record Set pointers to a disk file

Set operations for working with Record Sets

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Ad-hoc searches based on record content Finding child records and the parent recordPlace-by-taxon and taxon-by-place queries: the real payoff for relational design

Tools for queries and data retrieval

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Importing by tables and fields from a delimited text file

New recordsUpdating existing recordsMerging records from two Biota data files

Importing images in batch modeRelies on a text file containing a table of

Image filenamesParent table for each ImageParent Record Code for each Image

Tools for importing text and images

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Exporting by tables and field to a delimited text fileExporting images in batch mode

Writes a log file containing a table of Image filenamesParent table for each ImageParent Record Code for each ImageThe same images can be imported in batch mode to a different Biota Data File, using the log file.

Tools for exporting text and images

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Specimen flatfiles (any field in the database for any set of Specimen records)Taxonomic flatfiles (higher classification for any set of Specimen records)Custom flatfiles based on any tableNotes, Auxiliary Fields, formatted References

Special export tools 1

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For systematists:Near-publication-ready “Specimens Examined” or “Exsiccatae” text for any set of Specimen recordsNEXUS formatted Auxiliary Field matrices

For ecologists: Collection x Taxon and Locality xTaxon tables

Incidence or abundance tables for any taxonomic rankOption: EstimateS input or Cornell Condensed Format

Special export tools 2

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Database integrity Automatic parent record creation One-step updates of child record linking fieldsDeletion control for parent recordsOrphan and childless record finders

Database securityMulti-level password/privilege systemData File password protection

Database maintenance tools

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Many fields in the Core Tables can be re-named to suit your needs.These “Field Aliases” appear throughout the database and on reports and labels.

Customizing Biota: Re-naming Core Fields

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Applies to the Species, Specimens, Collections, and Localities tables.Alphanumeric prefix can match barcode prefixes.Full control over format of Record Codes.

Customizing Biota: Automatic generation of Record Codes

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Available for most Core fields.Set up pick-lists for repetitive entries.Import and use Authority Lists.Type-ahead lookupEasy drag-and-drop rearrangement of list items.

Customizing Biota: Entry Choice Lists

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Automated loans and returns system, with barcode support.Loan documents include an ID-ready spreadsheet file, with all collection information for each specimen.Identifications recaptured by specimen code, whether specimens are returned or deposited elsewhere.

Special tools: Loan Record System

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Automated label printing/text export for pinned insect specimensslide-mounted specimensfluid-preserved specimensherbarium specimenscustom labels

Special tools: Labels

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Dynamic pages using Biota’s onboard web server:Web Browser Mode: Choose the tables and fields you want to make accessible (stateless)Database Client Mode: Choose which tools from the desktop version to make accessible (state maintained)Example: The ALAS Specimen Database (http://viceroy.eeb.uconn.edu/ALAS/ALAS.html)

Web publishing options 1

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Exported static web pages, using any web serverChoose the taxa, records, and fields you want to includeImages supportedOBFS Field Station example: http://mlbs.org/data.htmlMuseum-based entomological example:http://cumuseum.colorado.edu/Research/Entomology/ento_databases.htmlResearcher-based entomological example with images:http://cgic.ucol.mx/~mabl/indexe.htm

Web publishing options 2

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Web Browser Mode homepage

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Database Client Mode homepage

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Darwin Core: A standard designed to facilitate the exchange of information about the geographic occurrence of species http://wiki.tdwg.org/twiki/bin/view/DarwinCore/WebHome

DiGIR: Distributed Generic Information Retrieval http://digir.sourceforge.net/

A DiGIR portal: Natural History Collections Portal http://digirportal.berkeley.edu/

Biota’s onboard DiGIR Server (beta)

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