Data collection in the context of "Participant observation"

In its most common sense, methodology is the study of research methods. However, the term can also refer to the methods themselves or to the philosophical discussion of associated background assumptions. A method is a structured procedure for bringing about a certain goal, like acquiring knowledge or verifying knowledge claims. This normally involves various steps, like choosing a sample, collecting data from this sample, and interpreting the data. The study of methods concerns a detailed description and analysis of these processes. It includes evaluative aspects by comparing different methods. This way, it is assessed what advantages and disadvantages they have and for what research goals they may be used. These descriptions and evaluations depend on philosophical background assumptions. Examples are how to conceptualize the studied phenomena and what constitutes evidence for or against them. When understood in the widest sense, methodology also includes the discussion of these more abstract issues.

Methodologies are traditionally divided into quantitative and qualitative research. Quantitative research is the main methodology of the natural sciences. It uses precise numerical measurements. Its goal is usually to find universal laws used to make predictions about future events. The dominant methodology in the natural sciences is called the scientific method. It includes steps like observation and the formulation of a hypothesis. Further steps are to test the hypothesis using an experiment, to compare the measurements to the expected results, and to publish the findings.

In statistics, a unit of observation is the unit described by the data that one analyzes. A study may treat groups as a unit of observation with a country as the unit of analysis, drawing conclusions on group characteristics from data collected at the national level. For example, in a study of the demand for money, the unit of observation might be chosen as the individual, with different observations (data points) for a given point in time differing as to which individual they refer to; or the unit of observation might be the country, with different observations differing only in regard to the country they refer to.

Data processing is the collection and manipulation of digital data to produce meaningful information. Data processing is a form of information processing, which is the modification (processing) of information in any manner detectable by an observer.

The Earth Observing System (EOS) is a program of NASA comprising a series of artificial satellite missions and scientific instruments in Earth orbit designed for long-term global observations of the land surface, biosphere, atmosphere, and oceans. Since the early 1970s, NASA has been developing its Earth Observing System, launching a series of Landsat satellites in the decade. Some of the first included passive microwave imaging in 1972 through the Nimbus 5 satellite. Following the launch of various satellite missions, the conception of the program began in the late 1980s and expanded rapidly through the 1990s. Since the inception of the program, it has continued to develop, including; land, sea, radiation and atmosphere. Collected in a system known as EOSDIS, NASA uses this data in order to study the progression and changes in the biosphere of Earth. The main focus of this data collection surrounds climatic science. The program is the centrepiece of NASA's Earth Science Enterprise.

Research stations are facilities where scientific investigation, collection, analysis and experimentation occurs. A research station is a facility that is built for the purpose of conducting scientific research. There are also many types of research stations including: biological field stations, space stations etc. Research station sites might include remote areas of the world, oceans, as well as outer space, such as the International Space Station. Biological research stations developed during a time of European colonization and imperialism where naturalists were employed to conduct observations on fauna and flora. Today, the discipline is represented by a number of organizations which span across multiple continents. Some examples include: the Organization of Biological Field Stations and the Organization for Tropical Studies.

Space stations were also developed over a number of decades through scientific analysis and writing, with the first design aspects of early space stations being introduced by Herman Potocnik in 1928. Since then, the construction and launch of space stations have been both national and international, collaborative efforts which have allowed different design philosophies to form key space stations such as the International Space Station (ISS). Similarly, stations in Antarctica are built to ensure that they are well insulated against the sub-zero temperatures of the exterior landscape with many redevelopments being required over the years to overcome issues associated with snowdrifts, accessibility and rusting.

In politics, opposition research (also called oppo research) is the practice of collecting information on a political opponent or other adversary that can be used to discredit or otherwise weaken them. The information can include biographical, legal, criminal, medical, educational, or financial history or activities, as well as prior media coverage, or the voting record of a politician. Opposition research can also entail using trackers to follow an individual and record their activities or political speeches.

The research is usually conducted in the time period between announcement of intent to run and the actual election; however political parties maintain long-term databases that can cover several decades. The practice is both a tactical maneuver and a cost-saving measure. The term is frequently used to refer not just to the collection of information but also how it is utilized, as a component of negative campaigning.

Data reporting is the process of collecting and submitting data.

The effective management of any organization relies on accurate data. Inaccurate data reporting can lead to poor decision-making based on erroneous evidence. Data reporting is different from data analysis which transforms data and information into insights. Data reporting is the previous step that translates raw data into information. When data is not reported, the problem is known as underreporting; the opposite problem leads to false positives.