Statistical metadata and data quality

2.2 Sources and Quality of Data

Improvement in related metadata and data quality.

Quality issues are obviously fundamental.

And so, you're reducing the quality of your data.

While the first data review workshops revealed many data quality problems, solutions were offered and corrections made in subsequent data collections.

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Regional workshops were held to train country staff on data quality.

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In 2003, the HDRO statistics team developed a strategy for dealing with data gaps, inconsistencies and data quality problems.

The availability and quality of service based data vary greatly, and such data are rarely collected in a systematic manner.

The main benefits of that development are improved quality assurance and data integration.

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In terms of broader effectiveness and quality issues, this finding was very important.

(e) Methods of evaluation of data quality of surveys on the informal sector and informal employment

In the context of these developments, combined with ever increasing data sharing and processing agreements, the Task Force felt the need to address the organizations' data dissemination policies and data quality frameworks.

That experience raised many issues regarding policies for data submission and data access as well as confidentiality concerns.

The issues of air quality and climate change are closely coupled on several levels.

It will assess the data and statistics currently available regarding the extent and prevalence of forms of violence against women, evaluate the quality of the data and identify remaining gaps in data collection.

Target 1 Indicators and data gathering for selected child protection areas and improved quality of situation analyses

(b) Improving access to high quality data and information on current and future climate variability and extreme events

Experts noted that the lack of quality data had limited the analysis and understanding of the OFDI phenomenon.

(e) Work towards the harmonization of data collection activities of environment and related statistics with concepts and definitions of environmental economic accounting, including the assurance of data quality.

To facilitate the discussions, the UNCTAD secretariat is preparing an issues note on FDI statistics data compilation and policy issues.

UNDP will continue to leverage its own Atlas data quality dashboard' to proactively manage data errors and potential risks associated with unapplied deposits, matching exceptions, bank reconciliations and errors.

Quality metadata in order to enable users of the data to judge its fitness for purpose. A key element is a description of how each data point was created

(e) Devising a checklist for the evaluation of data quality of surveys on the informal sector and informal employment

Two main findings to date have been the need for systematic and quality data as well as capacity building.

Sources and methods for data collection are appropriately chosen to ensure timeliness and other aspects of quality, to be cost efficient and to minimize the reporting burden for data providers.

And what we do is go through all of those records and exclude everything that's not the highest quality data.

Client satisfaction surveys should be introduced to provide regular feedback on the quality of the data and metadata (see para.

Assuming that conceptual issues are solved, there remains the major issue of data availability.

Good practice covers choice of estimation methods appropriate to national circumstances, quality assurance and quality control at the national level, quantification of uncertainties, and data archiving and reporting to promote transparency Quality control (QC) is a system of routine technical activities to measure and control the quality of the inventory as it is being developed.

C. Issues related to the manner in which national data are used by international organizations

State Parties shall exchange available information and data regarding the hydrological, hydro geological, water quality, meteorological and environmental condition of shared watercourses.

A criteria based approach allows analysts to focus on data collection in terms of explicitly stated dimensions of quality, effectiveness and performance.

Useful exchanges of information took place within the Task Force on the organizations' practices with respect to data quality and metadata management.

Despite improved collaboration among international agencies and improvement in the data available to support indicators, the quality and availability of data is not yet sufficient to reliably monitor progress in the achievement of MDGs.

The improvement in the quality of data reported since 1989 and later again in 1994 partly explained the significant increase in OFDI flows.

Quality frameworks include the integrity and methodological soundness of the framework of accounts and tables, dissemination standards and documentation of data sources (metadata).

The emergence of high technology industries, national and international outsourcing of production, the rapid appearance, disappearance and changing quality of industrial products, the creation of large, complex multinational conglomerates and the environmental impact of industry, among other issues, have added to the statistical challenges of data collection and analysis.

In the area of institutional strengthening and capacity building there are at least four gender related issues namely society's ignorance, especially on the part of government employees, about gender equality and justice  limited data and information on gender equality  poor quality of institutions and, weak relations among institutions.