The process of reaching agreement on common data definitions, formats, representation and structures of all data layers and elements.

A collection of concepts and relationships needed to model all the data and information collected in the process of surveillance, including surveillance inputs, methods, and...

Bioinformatic analyses invariably involve shepherding files through a series of transformations, called a pipeline or a workflow.

The aspect of epidemiology concerned with why and how a health problem occurs. Analytic epidemiology uses comparison groups to provide baseline or expected values so that...

Dataset format includes information on individual records related to a disease/health event

One of several methods of agglomerative hierarchical clustering. At the beginning of the process, each element is in a cluster of its own. The clusters are then sequentially...

A curated consensus sequence for all of the DNA in the genome (all of the chromosomes) of a species of organism. Because the reference genome is created as the synthesis of a...

In the context of epidemiology: Making data from different sources comparable. The processes involved in producing inferentially equivalent data.

A collection of concepts and relationships needed to model all the data and information collected in the process of surveillance, including surveillance inputs, methods, and...

__In the context of epidemiology: Making data from different sources comparable. The processes involved in producing inferentially equivalent data.test

The aspect of epidemiology concerned with why and how a health problem occurs. Analytic epidemiology uses comparison groups to provide baseline or expected values so that...

In the context of epidemiology: Making data from different sources comparable. The processes involved in producing inferentially equivalent data. Related Terms:data integration

one of several methods of agglomerative hierarchical clustering. At the beginning of the process, each element is in a cluster of its own. The clusters are then sequentially...

Data standards are documented agreements on representation, format, definition, structuring, tagging, transmission, manipulation, use, and management of data.

Criteria used to categorise output for decision making at any stage of the surveillance process

Provides well-defined guarantees for fitness, accuracy, and consistency for any of various kinds of user input into an application or automated system. Data validation checks...

Different scientifically valid methodologies may be used for the analysis of non-random surveillance data. Where no data are available, estimates based on expert opinions,...

The processing of personal data in such a way that the data can no longer be attributed to a specific data subject without the use of additional information, as long as such...

A contiguous stretch of DNA sequence that is the result of assembly of multiple overlapping sequence reads into a single consensus sequence. A contig requires a complete tiling...

A method, procedure, or measurement that is widely accepted as being the best available. Often used to compare with new methods.