Data, Data Everywhere!
By Joe R. Busby, DTE, Jeremy V. Ernst, What is Data and Why is it Important?
and Terri E. Varnado Information is knowledge attained not only by sensing,
but also through instruction, reflection, and/or
investigation and systematic inquiry. Data is organized,
factual information that may include symbols, numbers,
measurements, amounts, words, sounds, and images (ITEA,
Data collection, synthesis, 2000/2002/2007). Data can be used to help solve natural and
man-made problems. Data collection, synthesis, and analysis
and analysis are important for are important for drawing conclusions and making informed
decisions in the realms of society, economics, technology,
drawing conclusions and making and politics. For example, individuals in local areas, society
as a whole, and the environment (generally and specifically)
informed decisions in the can be affected by phenomena such as inclement weather,
deforestation, or landslides. Comparing, contrasting, and
realms of society, economics, classifying data from different levels (i.e., satellite data, aerial
photography, and ground truthing) allowed data download,
technology, and politics. data monitoring, and ground data teams to work together,
ata acquisition and analysis are cornerstones for
informed decision making about the environment.
Facts and figures are vital to the practical application
of systems and products. These data are collected
through various means and organized into useful forms (i.e.,
visual imagery, datasets, and sounds). The International
Technology Education Association’s (ITEA) Standards for
Technological Literacy: Content for the Study of Technology
(STL) (2000/2002/2007) document states, “When presented
with a particular product or system, the technologically
literate person should be able to gather information about
it, synthesize this information, analyze trends, and draw
conclusions regarding its positive or negative effects” (p.
133). Whether collected by persons or obtained from other
sources, information is realized through sensing agents.
Data-sensing activities in technology education classrooms
further opportunities for students to use the design process
to recognize environmental issues and trends, and project Student collecting environmental data from a government-
their impacts. operated remote-sensing website.
20 • The Te c hnolo gy Te ac her • november 2009
“revealing that the rate of deforestation in the Amazon reflected responses from light rays generated by artificial
was not as rapid as originally thought, though t