Margaret Landis Rick Lupia Roger Burkhalter Sam Noble Oklahoma Museum of Natural History.

Slides:



Advertisements
Similar presentations
Collections Management Software for Museums and Archives r e d i s c o v e r y s o f t w a r e. c o m O V E R V I E W P R E S E N T A T I O N.
Advertisements

Types of Data Lecture 3 Mega-Regional Local Present Circulation
April 2011 Registry Prototype demonstration. Relationships between records.
Calstock Parish Archive History on the Ground Project.
Diana Hernandez Integrating the catalogue of Mexican biota: different approaches for different client perspectives.
A partnership of Truman Presidential Museum & Library, Truman Institute, and the MU Design Team at CTIE Project Whistlestop.
NYBG + KE EMu The New York Botanical Garden + KE EMu Melissa Tulig Botanical Information Management.
Anatomy of a fossil collection. Exposure of the upper Matfield Shale (Kinney and Blue Springs) and lower Barneston Limestone (Florence) along the south.
Mapping the Gracelawn Cemetery Information Technology/GIS
Historically age & stratigraphy associated with locality (paleontological context) Locality 5 Locality 1 Locality 2 Locality 3 Locality 4 GPS 1 GPS 2.
Using Open Source Software to Develop a Web Mapping Application for the Bailey Matthews Shell Museum June 23, 2009 Carrie L. Burkholder GIS Analyst Advisor:
Corals and sea anemones on line: a functioning biodiversity database D. G. Fautin R. W. Buddemeier University of Kansas: Department of Ecology and Evolutionary.
Arthur ChapmanData Quality Training SABIF June 2012 Taxonomic and Nomenclature Data A. D. Chapman Data Quality.
The Experience Factory May 2004 Leonardo Vaccaro.
A portal for Danish Research - some considerations and ideas Anne Sofie Fink Danish Data Archives IASSIST 2002.
Mean, Median, Mode These are measures of central tendency All three give us information about a sample But some are more meaningful depending on the level.
Spatial Data: Elements, Levels and Types. Spatial Data: What GIS Uses Bigfoot Sightings: Spatial Data.
Information Retrieval
EMu and Archives NA EMu Users Conference – Oct Slide 1 EMu and Archives Experiences from the Canada Science and Technology Museum Corporation.
Section 13.1 Add a hit counter to a Web page Identify the limitations of hit counters Describe the information gathered by tracking systems Create a guest.
LÊ QU Ố C HUY ID: QLU OUTLINE  What is data mining ?  Major issues in data mining 2.
Building a Data Sharing Community. The Vertebrate Networks Est. 1999, collections (2011) Est collections (2011) Est collections.
Chapter 25 Phylogeny and Systematics. Macroevolution Attempts to explain how major adaptive characteristics came into existence These characteristics.
Sedimentology & Stratigraphy:
Richard White Biodiversity Data. Outline Biodiversity: what is it? – Definitions: is biodiversity: A resource? Something which can be measured? How to.
CS370 Spring 2007 CS 370 Database Systems Lecture 2 Overview of Database Systems.
1. 1.Jose Leal, Director, Bailey-Matthews Shell Museum 2. 2.Ian Turton, Adviser, Pennsylvania State University, Department of Geography 3. 3.Jim Detweiler,
U.S. Department of the Interior U.S. Geological Survey NWIS, STORET, and XML National Water Quality Monitoring Council August 20, 2003.
The Dawn of Man. Pre-history  In order to understand the development of human civilizations we need to use several different scientific disciplines.
Use case lessons: Components of the SEEK architecture Robert K. Peet University of North Carolina.
Design and Implementation of a Geodatabase for New York Canal Inspection Data Capstone Project Proposal Ruth Ann Trudell Spring 2009.
Digital Atlases of Fossil Collections: New Resources for the Public to Identify and Understand Ancient Biodiversity Jonathan R. Hendricks Dept. of Geology,
U.S. Department of the Interior U.S. Geological Survey NWIS, STORET, and XML Advisory Committee on Water Information September 10, 2003 Kenneth J. Lanfear,
Chapter 11 Analysis Concepts and Principles
Federated Databases for the Geosciences CSIG July 21, 2005 Douglas S. Greer.
AP Biology Chapter 25. Phylogeny & Systematics An unexpected family tree. What are the evolutionary relationships among a human, a mushroom,
Experience from Mapping Existing Models to the Transfer Schema Robert Kukla.
Introduction: Databases By Margaret Lion 1. What is a database? A collection of data organized to serve many applications efficiently by centralizing.
Evaluation of Reference Services Dr. Dania Bilal IS 530 Spring 2006.
Time and Geology Sir Charles Lyell Image source:
A Provisional Observational Data Standard to Facilitate Data Sharing and Aggregation Lynn Kutner, Bruce Stein, and Donna Reynolds TDWG Annual Meeting,
Grade 5 – Unit 6, Lesson 2 Lesson Synopis In this lesson, students will focus on how fossils are evidence of past life rather than creating models of fossils.
What have we learned?. What is a database? An organized collection of related data.
February 17, 2015 What are we doing today? Virtual Dissections Earthworms - LINKLINK Frog (LINK1 and LINK 2)LINK1LINK 2 Fish (LINK1 and LINK 2)LINK1LINK.
Distributed Biodiversity Information Databases A. Townsend Peterson.
GEON2 and OpenEarth Framework (OEF) Bradley Wallet School of Geology and Geophysics, University of Oklahoma
Margaret M. Habib 1, Soo Hyun Kim 2, David Lovelace 1 and Sara C. Hotchkiss 2 1 Department of Geoscience, University of Wisconsin-Madison, 2 Department.
Database Management Supplement 1. 2 I. The Hierarchy of Data Database File (Entity, Table) Record (info for a specific entity, Row) Field (Attribute,
PLANET EARTH Fossil Evidence – Questions 1 – 8
Eileen S. Graham 1 & David E. Schindel 2 registry: grscicoll.org web: scicoll.org Author Affiliations 1 Scientific Collections International,
SWE 513: Software Engineering
09/12/2003CCAQS Data Management System1 Central California Air Quality Studies Data Management System Status Report to the Study Agency Policy Committee.
TIMOTHY SERVINSKY PROJECT MANAGER CENTER FOR SURVEY RESEARCH Data Preparation: An Introduction to Getting Data Ready for Analysis.
CAAB and taxon management at CSIRO Marine Research Tony Rees Divisional Data Centre CSIRO Marine Research, Hobart
MarLIN: a research data metadatabase for CSIRO Marine Research Tony Rees Divisional Data Centre CSIRO Marine Research, Hobart contact:
Riccardi: DIALOGUE Workshop August 1, 2005 Supported by NSF BDI 1 Representing and Using Phylogenetic Characters in Morphbank Greg Riccardi, David Gaitros,
EVOLUTION: An Introduction. EVOLUTION Chapter 13: Evolution: Evidence of Change Chapter 14: Evolution: How Change Occurs (Process of Evolution)
Centre for Environmental Data and Recording - CEDaR Established in 1995 to collect, collate and disseminate all biodiversity and geodiversity records for.
Connecting to External Data. Financial data can be obtained from a number of different data sources.
1 Section 1 - Introduction to SQL u SQL is an abbreviation for Structured Query Language. u It is generally pronounced “Sequel” u SQL is a unified language.
WELLS AND TIME SERIES DATA. Framework Temporal Aquifers & Wells.
National Paleontological Collection
How is relative age dating like a hamper of clothes?
Summary: Collecting Reliable Data for Monitoring and Modeling
ZIMS Charts, Maps & Data Management
Introduction to Archeology
Non-marine biological evidence
Databases and Information Management
Analyzing and Organizing Information
Expert Knowledge Based Systems
Presentation transcript:

Margaret Landis Rick Lupia Roger Burkhalter Sam Noble Oklahoma Museum of Natural History

Volunteers Students Collection Staff Collection Staff IT Staff

Spores Pollen Macrofossils Lithology Samples Residues Reserves/Bulk Supporting Documentation Microfossils Trace Fossils

Improve collection management View collection better Increase users & uses Make remote access of collectionaccessible & user-friendly via web Give researchers an idea of what we have so that they can request loans &/or visit

Single Access Point ─To serve the public ─To show relevance Shared taxonomic holdings ─Plants & invertebrates on same specimen ─Microfossils include animals (e.g., ostracods) Shared localities Shared timescale/stratigraphy & ancillary data types

Challenges in databasing a collection Collection Specific Challenges ─ Unique numbering systems ─ Past record keeping techniques Museum Specific Challenges ─ Past museum fires effect on data ─ Technology support/programs allowed Challenges arising from bridging disciplines ─Legacy Geology & Paleontology specimens have had less standardization ─ Changes in data recorded/needed ─ Field Formatting/Dbase schema often not adequate Today’s Focus Today’s Focus

Usage & Definition of Locality Important – How data are “seen”/”used” – How data are managed – How data are entered – How data are accessed ex. Additional data needs & formats so GIS software can be used to create data portrayals data (especially 3D or relief) “Modern” City Outlines © Landis, 2005 Illustration of Geology with Relief Where is the “true” city center? Where was it when specimen was collected?

Historically age & stratigraphy associated with locality (paleontological context) Many Paleo Collections stored by some paleontological context – Age & Geography – Age & Stratigraphy & Geography

Is it a point on a map? – Treating as 2-D with associated info – 1400A, 1400B, 1400C OR Is it a point on a map with depth (point in space) ? – Treating as 3-D that still could have associated info – 1400 (1400A), 1900 (1400B), 1901 (1400C)

Geological Formations Surface vs. Subsurface names – Which to use Where collection came from What collector specified or What agreed on today? – How to indicate which surface & subsurface names are related Unofficial names (especially for coals) Measurements – Feet vs. Meters – Original vs. Converted/Standardized Recording Errors & Error source? – Direction of Measurement Outcrops measured bottom up Cores/Wells measure top down

Some specimens are more sensitive to slight changes than others for varying reasons: Size of specimen vs. thickness of strata – Pollen – Cephalopod Condensed & expanded intervals

What is a Specimen & How is it numbered? – Has implications to dbase design & functionality Better ?: Is a specimen a loanable object or an identifiable object?

How an object is handled depends on: – How specimen is defined & numbered – Database schema & capabilities Number of fields How searched &/or if Search possible

Do Plants & Animals agree? – Separate Codes & standards of usage – Differing hierarchical ranks – Recording & formatting species authors

How do the fossils affect these Codes & standards of usage? – Unplaced taxa (many if not most fossil palynomorphs) – Form taxa/ Ichnotaxa – Portions of plants – Trace Fossils – Lithological samples What about uncertainties? – Genus ? sp., Genus species ?, cf., aff. – Palynomorphs

Margaret Landis, Roger Burkhalter, Rick Lupia, Steve Westrop Sam Noble Oklahoma Museum of Natural History (Construction Ongoing) What Mentioned We Are Willing to Discuss Our Experiences & Answer Questions We Are Willing to Discuss Our Experiences & Answer Questions What Could Have Discussed