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The field of population informatics is the systematic study of populations via secondary analysis of massive data collections (termed "big data") about people.Scientists in the field refer to this massive data collection as the social genome, denoting the collective digital footprint of our society.
Accurate data collection is essential to many business processes, [6] [7] [8] to the enforcement of many government regulations, [9] and to maintaining the integrity of scientific research. [10] Data collection systems are an end-product of software development. Identifying and categorizing software or a software sub-system as having aspects of ...
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 ...
The methods involved in survey data collection are any of a number of ways in which data can be collected for a statistical survey. These are methods that are used to collect information from a sample of individuals in a systematic way.
Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases).
The professional title of "data scientist" has been attributed to DJ Patil and Jeff Hammerbacher in 2008. [25] Though it was used by the National Science Board in their 2005 report "Long-Lived Digital Data Collections: Enabling Research and Education in the 21st Century", it referred broadly to any key role in managing a digital data collection ...
Multimethodology or multimethod research includes the use of more than one method of data collection or research in a research study or set of related studies.Mixed methods research is more specific in that it includes the mixing of qualitative and quantitative data, methods, methodologies, and/or paradigms in a research study or set of related studies.
The clinical data manager is involved in early discussions about data collection options and then oversees development of data collection tools based on the clinical trial protocol. Once subject enrollment begins, the data manager ensures that data are collected, validated, complete, and consistent.