Search results
Results from the WOW.Com Content Network
Data collection systems are an end-product of software development. Identifying and categorizing software or a software sub-system as having aspects of, or as actually being a "Data collection system" is very important. This categorization allows encyclopedic knowledge to be gathered and applied in the design and implementation of future systems.
Management of quality was the responsibility of the Quality department and was implemented by Inspection of product output to 'catch' defects. Application of statistical control came later as a result of World War production methods, which were advanced by the work done of W. Edwards Deming , a statistician , after whom the Deming Prize for ...
QTS Realty Trust, Inc. (popularly known as Quality Technology Services, QTS or QTS Data Centers) is a provider of carrier-neutral data centers and provides colocation services within North America and Northern Amsterdam and is based in Overland Park, Kansas. [2]
Clinical measures use the administrative or hybrid data collection methodology, as specified by NCQA. Administrative data are electronic records of services, including insurance claims and registration systems from hospitals, clinics, medical offices, pharmacies and labs. For example, a measure titled Childhood Immunization Status requires ...
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...
In 1997, art historian and museum information studies consultant Robert A. Baron outlined the requirements for Collections Management Systems, not as a list of the kinds of collections object information that should be recorded, but rather as a list of collections activities such as administration, loan, exhibition, preservation, and retrieval, [13] tasks that museums had been responsible for ...
However, data has to be of high quality to be used as a business asset for creating a competitive advantage. Therefore, data governance is a critical element of data collection and analysis since it determines the quality of data while integrity constraints guarantee the reliability of information collected from data sources.
The Data Owner is responsible for the requirements for data quality, data security, etc. as well as for compliance with data governance and data management procedures. The Data Owner should also be funding improvement projects in case of deviations from the requirements.