Sentence examples for data is recognised from inspiring English sources

The requirement for environmental and socio-economic data is recognised in many political forums.

All entries into this national database are verified and validated, but a degree of inaccuracy in HES data is recognised.

The need for comprehensive, locally relevant health data is recognised as a key requirement for effective monitoring and evaluation of healthcare delivery at a local level [ 1, 2].

Secondary analysis of qualitative data is recognised as a valuable way of gaining a new perspective on novel research topics, allowing researchers to perform additional analysis on concepts emerging from research and address these in more detail [ 14, 15].

The usefulness of examining patient-level data is recognised [ 17], and is particularly suitable for the evaluation of biomarkers, as it is not enough that a marker reliably tracks the progression of the disease on average, but that it does so sufficiently well for each individual patient [ 18].

The forecasts that the office produces from this data are recognised as among the best in the world.

This relationship has resulted in ED data being recognised by the World Health Organization as key intelligence for the development, implementation, and evaluation of violence prevention initiatives [ 7, 8].

At the same time, creating comparable surveillance data was recognised as being difficult, as diagnosing techniques may differ across countries (Table 2, Quote 4a) Collecting high-quality data was further complicated through different treatment facilities and traditions.

Increases in the quantity, quality and availability of health data are recognised as fundamental goals in efforts to strengthen health-care systems in resource-poor nations worldwide (AbouZahr and Boerma, 2005; Murray et al., 2004; Stansfield, 2005; WHO/AFRO, 1999).

51 At all levels of management, activities around quality and safety data or information were recognised in 6 studies.

In summary, big data analytics is recognised as a multidisciplinary information processing system in the areas like business, government, media, education and healthcare.