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Save Time and Resources with Efficient Database Management: Upgrading legacy systems, integrating da

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Title: Save Time and Resources with Efficient Database Management: Upgrading legacy systems, integrating da


1
Save Time and Resources with Efficient Database
Management Upgrading legacy systems,
integrating datasets and maintaining metadata
Sheryl K. Soborowski Fish Wildlife Information
ExchangeVirginia Tech, Blacksburg, Virginia
2
1. Developing a database or a database
application requires an investment whether in
time or resources. 2. There are numerous
benefits to investing the time in organizing and
integrating related data. 3. Consider
outlining a data/database management plan before
diving into the process.
3
Consider implementing a database management plan
if you need
  • to integrate interrelated data from a combination
    of storage locations
  • efficient storage and easy retrieval of related
    data
  • to validate data
  • more than one person to simultaneously access the
    data
  • friendly front ends for data entry
  • customized reports

4
  • What you need to consider
  • tackle a project that will show great results
    first to win over the doubters
  • have agreement on the change in procedures
  • educate staff on the use of the software chosen

5
A Database Management Plan in Action
  • developed a data management protocol
  • data utilized by all resource managers but they
    were keeping separate copies of the information
  • multiple usersmany seasonal
  • legacy data
  • wanted to implement changes in procedure/changes
    to field sheets
  • had an agency standard to use MS Access
  • multiple audiences
  • federal metadata standard

6
  • Initial considerations
  • What do you need the database to do?
  • Store
  • Query
  • Report
  • Easy Data Entry
  • Who is your audience/what is their training
    level? What are their expectations?

7
  • Ascertain your purpose
  • Give the project a meaningful name
  • choose software
  • define protocols
  • decide to change procedure
  • educate staff

System Design
8
System Design
  • Sketch out reports/output tables
  • required fields
  • calculations

Output
9
System Design
Output
Data Format
  • Decide what fields you need and the data type of
    those fields
  • Assess whether you are able to normalize certain
    datasets (keeping in mind that you may want to
    de-normalize)

10
System Design
Output
Data Format
Data Relationships
  • Identify the relationships that can be made
    between your datasets
  • Define a primary key for all tables

11
System Design
Output
Data Format
Data Relationships
Data Validation
  • Quality assurance of data entry

12
System Design
Output
Data Format
Data Relationships
Data Validation
Data Input
  • Input data in forms or tables?

13
System Design
Output
Data Format
Data Relationships
Data Validation
Data Input
Automate
  • Automate or serve to the web

14
The Who, What, Where, When and How a Dataset was
Created
Metadata The best time to compile metadata is as
the data are being collected
15
MetaMaker A forms based tool for collecting and
validating compliant metadata. Available free
for download at http//www.nbii.gov/tools/metamak
er/metamaker.html
16
  • The NBII profile adds elements, that specifically
    describe biological data, to the FGDC Content
    Standard for Digital Geospatial Metadata.
  • Taxonomy
  • Methodology
  • Analytical Tools
  • The biological profile allows you to document
    three types of data sets
  • 1. Explicitly biological (ex. laboratory
    research)
  • 2. Biological and Geospatial (ex. Distributions
    of species)
  • 3. Explicitly geospatial (ex. Roads)

17
  • For more information about MetaMaker and metadata
    training
  • http//www.nbii.gov/training/index.html
  • Training is free and open to all federal, state,
    and local agencies, museums, universities,
    private organizations and their potential data
    sharers.

18
Long-term benefits of establishing a data
management plan
  • standardizing makes data transferable to other
    projects and other agencies
  • builds a foundation for developing potential
    partners
  • increased the value of the data
  • improved the efficiency of analysis
  • freed personnel to perform other tasks or perform
    more complex analyses
  • reduced duplication of effort
  • allowed for easy dissemination of information to
    the public

19
  • To avoid disappointing results
  • have the support of the end users
  • identify what you want to gain from the database
    application
  • designate a primary key
  • produce at least minimal metadata
  • make backups

20
Subliminal slide MAKE BACKUPS!!!! CREATE
METADATA!!!!
21
Metadata training http//www.nbii.gov/training/in
dex.html To learn more about the Fish Wildlife
Information Exchange http//fwie.fw.vt.edu/To
contact Sheryl K. SoborowskiFish Wildlife
Information Exchange(540) 231-7348ssoboro_at_vt.edu
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