Simple, Primary and Secondary Data
some sources of data are information
national sample survey
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.
The Census.The civil registration system.Administrative records.
To compare data from different sources.
Two sources may not be coherent because they present conflicting information, have different perspectives or biases, or rely on inaccurate or outdated data. Differences in research methodologies, sources of data, or interpretations may also contribute to lack of coherence between sources.
Data binding is basically a technique for binding two data/information sources together and maintaining a synchronization of data.You usually achieve this with two data/information sources with different languages as in XML data binding or in fact using Java, Java UI elements to Java objects.
some sources of data are information
it minimizes sources of bias in the data
The two parts to data capture are data input, which involves entering or recording data into a system, and data collection, which involves gathering data from various sources such as forms, sensors, or databases.
Weather maps/ Weather stations and almanacs.
Sources of geographical data include satellites (remote sensing), aerial photography, GIS databases, surveys, field data collection, and crowdsourcing through platforms like OpenStreetMap. These sources provide information on terrain, land cover, infrastructure, demographics, and more for various geographical analyses and applications.
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.
The two parts to data capture are the collection of data through various sources such as forms, surveys, sensors, etc., and the processing of this data to convert it into a usable format for storage and analysis.
The sources that are needed for reviewing depends on that a person or student is going to review or the topic of interest. Most major sources come in two forms: peer reviewed journal articles and/or books.
To search for relevant data sources, you can start by using search engines, online databases, government websites, and research repositories. You can also consider reaching out to subject matter experts or joining relevant forums and communities to get recommendations for credible data sources. Additionally, libraries and academic institutions are good resources for finding data sources for research purposes.
Theoretical (Theory) and Empirical (Data)