Sentence examples for strengthened data from inspiring English sources

Exact(8)

The results did not change, but they were even strengthened (data not shown).

As with the mid-decade review, a key input for the national reviews of progress at end-decade has been support for strengthened data collection and analysis.

Effectiveness: The Project strengthened data collection, storage, compilation, dissemination and statistical analysis, and improved gender, social, labour, demographic and other statistics within the NBS.

If the "don't know" category was analysed as the neutral middle response, the estimates were increased and the conclusion was strengthened (Data not shown).

Our approach to capturing contextual factors was anecdotal rather than structured; a more in-depth process evaluation would have strengthened data interpretation.

To further confirm the possible effects, we excluded those reporting childhood bullying from the analyses (n=459), but the associations remained or were slightly strengthened (data not shown).

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Similar(52)

By understanding who your data users and producers are and linking them to each other's work, ownership of data is clarified, the information cycle is strengthened, data-informed decisions are made, and the value of data in relation to program improvement becomes clear (11, 16, 17, 22– 22).

"The ABS continually reviews its processes to strengthen data handling policies and procedures.

It would also act as a forcing function to strengthen data infrastructure around key challenges, and raise awareness and capacity for those working to solve them.

"With the global partnership we're pulling together countries to say data matters … We want to strengthen data standards and want to partner on that with several other countries".

We would replace the Regulation of Investigatory Powers Act 2000, which has failed … [We would] Follow human rights judgments limiting surveillance and data retention in full; [and] support the EU's proposals to strengthen data protection laws against opposition from large US data-driven companies".

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