Charging into the frontier of geospatial Web services, Steve Morris from North Carolina State University (NCSU) tackles the opportunities and challenges related to streaming geospatial
data and geoarchiving in libraries.
Introduction
Since restoration quality is based on the integrity of the original
data, it is important to preserve integrity when files are stored for backup.
Managing distributed data in the enterprise
At DePauw, university staff spent four years integrating
data into a central repository, known as Client Information Service, which also serves as a university-wide address book.
Good data in, good data out: IHEs put in systems to capture quality data, and keep those records clean
A
data system at the Metropolitan School District of Wayne Township discovered that classroom instruction was not always aligned to state standards nor the state assessment test.
Nitty-gritty data: with reams of numbers and test results at their fingertips, more district leaders are making decisions and positive changes across classrooms
An operator usually performs only a few mouse clicks to open a
data entry form, and only a couple more mouse clicks are required to save
data and exit the application.
Transforming mold line data ... into process knowledge: translating collected data on your nobake mold line into knowledge will aid your facility in identifying opportunities where improvements can be made and time and resources can be saved
-- Survivor Bias Free Database --
data is available on inactive companies allowing researchers to remove survivorship bias from their research.
NEXA TECHNOLOGIES AND TSX DATALINK FORM PARTNERSHIP
Definitions of
data mining abound, and they vary among practitioners.
Mining for information gold: data mining offers the RIM professional an opportunity to contribute to knowledge discovery in databases in a substantial way
A major interest of NIDDK is supporting secondary
data analyses in the causes, burden, natural history, and treatment and medical care of overweight and obesity, including analyses of behavioral/environmental factors that may be predictive of long term weight maintenance or prevention of weight gain.
Secondary analyses in obesity, diabetes, digestive and kidney diseases
System integration is the key to using third-party
data efficiently.
Data flow: inexpensive third-party data and mathematical models now allow insurers to underwrite small and midsize commercial accounts as thoroughly as big risks and personal lines
With
data auditing procedures in place, there is a record of what happened--what
data was accessed, when it was changed and how it changed--long before financial reports are issued.
Reducing risk through data auditing: changes to company data could involve simple user errors, but for executives to confidently attest to the integrity of their data, they must ensure that the proper controls and monitoring are in place
PMs and their support staff must understand the true costs and benefits associated with UID and the significant benefits to be gained through accurate and reliable automated
data capture.
Unique identification of tangible items: gaining in international acceptance
These types of
data include tracking the contributions from external donors (bilateral, World Bank, Global Fund to Fight AIDS, TB and Malaria; and international foundations) as well as national expenditures and "out of pocket" spending from families and persons affected by HIV/AIDS.
Gender and monitoring the response to HIV/AIDS pandemic
These techniques are required to generate the volume of
data necessary for evaluations in a reasonable amount of time.
Development of a high throughput method incorporating traditional analytical devices
They then convert those documents'
data into hypertext markup language (HTML) format and post them on the Web for public viewing.
Tap into XBRL's power the easy way: the Microsoft Office Tool for XBRL benefits all financial reporting participants
The UCR Program
data collection guidelines stipulate that a hate crime may involve multiple offenses, victims, and offenders within one incident; therefore, the hate crime
data collection program is incident-based.
Methodology