The role of a HIM professionl is ensure data content standards are identified, understood, implemented and managed.
including:
- conducting a data content standards rquirements analysis
- developping a local data dictionary to support enterprise-wide interoperability
- advancing the development ofdata content standars
- contributing t domain knowledge by participating in revelant preofessionals association work
- contributing to the deelopment and developmet and hrmonization of industry and professional standards
Simple, Primary and Secondary Data
The collection of data typically involves two main types of sources: primary and secondary sources. Primary sources are original data collected firsthand through methods such as surveys, interviews, and experiments. Secondary sources, on the other hand, involve the analysis of existing data or information gathered by others, such as books, articles, and reports. Both types are essential for comprehensive data analysis and interpretation.
In math, primary data refers to information collected directly from original sources for a specific research purpose. This data is typically raw and unprocessed, allowing researchers to analyze it without any modifications or interpretations from secondary sources. Examples include surveys, experiments, and observational studies where the data is gathered firsthand. It contrasts with secondary data, which is derived from existing sources and analyses.
Secondary data has already been collected by and readily available from other sources. It is cheaper and easier to obtain than primary data. It helps provide an understanding of the problem and allows for comparison of the primary data collected. Secondary data can also be used as study to determine if and where mistakes or deficiencies exist in either set of data.
Primary sources of data are original and collected directly by the researcher, like surveys, interviews, and experiments. They provide first-hand, unprocessed information. In contrast, secondary sources are based on existing data that has already been collected and analyzed by others, like books, articles, and reports. Primary data is more accurate and specific to the researcher's needs, while secondary data offers insights from already available information.
An inherent problem in using secondary sources of data is that the data may have been skewed or manipulated a bit. Primary sources of data are always more reliable than secondary sources.
Simple, Primary and Secondary Data
Secondary data is a data collected by someone other than the user. Secondary data for social science include censuses and organizational records.
Secondary data is data collected from other sources than your own such as reference books or the Internet.
You can receive secondary data online from sources such as Censuses and qualitative research. You can learn more information about Secondary Data online at the Wikipedia.
Secondary data sources help support claims made by initial research. Additionally, secondary research can help identify alternative courses of action.
To determine if a source is primary or secondary, consider if it is firsthand information or a commentary on primary sources. Primary sources are original documents or data, while secondary sources analyze or interpret primary sources.
. Primary and Secondary data . Discrete and Continuous Data . Sample and Population Data
The three classifications of sources of information are primary sources, secondary sources, and tertiary sources. Primary sources offer firsthand accounts or original data, secondary sources analyze and interpret primary sources, and tertiary sources provide summaries and overviews of information from primary and secondary sources.
Research studies often use data gathered from primary and secondary sources. Primary data is easy to validate since it is being actively collected by the research team. Secondary data requires an extra level of validation.
The collection of data typically involves two main types of sources: primary and secondary sources. Primary sources are original data collected firsthand through methods such as surveys, interviews, and experiments. Secondary sources, on the other hand, involve the analysis of existing data or information gathered by others, such as books, articles, and reports. Both types are essential for comprehensive data analysis and interpretation.
In math, primary data refers to information collected directly from original sources for a specific research purpose. This data is typically raw and unprocessed, allowing researchers to analyze it without any modifications or interpretations from secondary sources. Examples include surveys, experiments, and observational studies where the data is gathered firsthand. It contrasts with secondary data, which is derived from existing sources and analyses.