Data Quality

Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". Moreover, data is deemed of high quality if it correctly represents the real-world construct to which it refers. Furthermore, apart from these definitions, as the number of data sources increases, the question of internal data consistency becomes significant, regardless of fitness for use for any particular external purpose. People's views on data quality can often be in disagreement, even …

Wikipedia

Publications

IISD: International Institute for Sustainable Development · 12 March 2024 English

This report outlines the importance of monitoring progress in green public procurement (GPP) and highlights various methodologies, challenges, and recommendations to improve monitoring practices. The report focuses specifically on monitoring …

Soylu et al. (2022) also highlight issues with data quality and poor data publication practices on procurement


ALRI: Alberta Law Reform Institute · 4 March 2024

Would a virtual witnessing procedure make it easier to make a will? [30] Respondents without a will were likely to agree with the statement that virtual witnessing would make it …

Somewhat disagree Disagree Somewhat disagree * For data quality purposes, please answer “disagree” for this Somewhat disagree Disagree Strongly disagree * For data quality purposes, please answer “disagree” for this


Global Risk Institute in Financial Services · 27 February 2024 English

Canadian Financial Services Risk Outlook Survey 2024 CANADIAN FINANCIAL SERVICES RISK OUTLOOK SURVEY 2024 FEBRUARY 2024 INTRODUCTION CREDIT AND ECONOMIC RISK OF TOP CONCERN The Global Risk Institute’s Canadian Financial …

and Finance area. The top risk identified was data quality employee engagement. Attracting and retaining


PICES: North Pacific Marine Science Organization · 22 February 2024 English

All names and claims expressed in this book of abstracts are solely those of the authors and do not represent those of the PICES Organization, nor those of their affiliated …

were accepted as necessary to ensure sequence data quality. The resulting raw data files were uploaded identification by microscopy over time and bolstered our data quality control and consistency across our two laboratories


CIHI: Canadian Institute for Health Information · 22 February 2024 English

​Learn more about the definitions and methodologies used in data analysis of Hospitalization and Childbirth, 1995–1996 to 2022–2023 — Supplementary Statistics.

from 2006–2007 through 2011–2012 due to a data quality issue. 6 Hospitalization and Childbirth Quick


CIHI: Canadian Institute for Health Information · 14 February 2024 English

Open-year data quality tests performed on NACRS, including the test specifications, selection criteria and data elements used. This document was created to accompany the NACRS Open-Year Data Quality reports

Ambulatory Care Reporting System Open-Year Data Quality Test Specifications Production of this document Ambulatory Care Reporting System Open-Year Data Quality Test Specifications. Ottawa, ON: CIHI; 2024 . . . . . . . . . . . . . . . . 6 Open-year data quality tests: Summary and rationale . . . . . . . . . . . . . . . . . . . . . . . 7 Open-year data quality tests . . . . . . . . . . . . . . . . . . National Ambulatory Care Reporting System Open-Year Data Quality Test Specifications 18 Project 340 — Invalid


CIHI: Canadian Institute for Health Information · 14 February 2024 English

Open-year data quality tests performed on the DAD, including the test specifications, selection criteria and data elements used. This document was created to accompany the DAD Open-Year Data Quality reports

DAD Discharge Abstract Database Open-Year Data Quality Test Specifications Production of this document Information. Discharge Abstract Database Open-Year Data Quality Test Specifications. Ottawa, ON: CIHI; 2024 . . . . . . . . . . . . . . . . 7 Open-year data quality tests: Summary and rationale . . . . . . . . . . . . . . . . . . . . . . . 7 Open-year data quality tests . . . . . . . . . . . . . . . . . . 41 4 Discharge Abstract Database Open-Year Data Quality Test Specifications 21 Cardiac Arrest Assigned


CCA: Council of Canadian Academies · 12 February 2024 English

The role of the peer review monitor is to ensure that the panel gives full and fair consideration to the submissions of the peer reviewers. [...] Recognizing the opportunities and …

further each new innovation. Features such as data quality, comparability, availability, ease of collection commercial social media platforms, issues of data quality, and risk of manipulation, among others (Bornmann


CIGI: Centre for International Governance Innovation · 8 February 2024 English

For research institutions, the policy must first and foremost preserve and enhance the role these institutions play in society — namely, the preservation and proliferation of useful and trustworthy data …

Policy Framework for Research Institutions from data quality. If the model used by a research institution


CCPA: Canadian Centre For Policy Alternatives · 7 February 2024 English

Acknowledgments The opinions and recommendations in this The authors would like to thank the National Steering Committee report, and any errors, are those of the authors, of Campaign 2000 for …

of children in poverty 35,330 14,000 10,000 * Data quality E: use with caution Source CFLIM-AT data—Statistics 11-10-0135-01 provinces, often returns poor data quality ratings when reporting child poverty using the


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