Data quality varies greatly.

Statistical metadata and data quality

Basic Fishery Data Requirements

Basic fishery data requirements

2.2 Sources and Quality of Data

Improvement in related metadata and data quality.

(c) quality records, such as inspection reports, test data, calibration data and certificates

Summary of requirements for data processing equipment

Summary of requirements for data processing equipment

Summary of requirements for data processing equipment

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

A quality management system (QMS) is a collection of business processes focused on achieving quality policy and quality objectives to meet customer requirements.

Cost estimates for data processing equipment additional requirements

Research to improve the quality of the data will continue.

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

XVI. Summary of requirements for data processing equipment . 90

XVIII. Summary of requirements for data processing equipment . 144

XVIII. Summary of requirements for data processing equipment . 114

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

Such wholly passive data collection will impact the quality of evaluations.

Chinese internal politics by disclosing the air quality data of Beijing.

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

25C The estimated requirements ( 15,600) relate primarily to data processing supplies.

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.

The fulfilment of those requirements would also improve the quality of inter State cooperation.

In addition, this approach should redress the data gaps and simultaneously improve the data quality for the compilation of national accounts.

Most country programmes will need access to recent, high quality and disaggregated data on

Without such a capability, the necessary high quality UV data record cannot be obtained.

For these tools to be effective, the quality and availability of data is essential.

Several tradeoffs between preprocessing, data requirements, attack time and memory complexity are possible.

The Committee also noted the use of telecommunications satellites for gathering data on water quality.

Furthermore, IMF is encouraging various countries to enhance the comprehensiveness and quality of data submitted.

With respect to the quality of evaluation data, UNDP recognizes that the soundness and veracity of data is fundamental in drawing reliable conclusions.

National systems Inventory planning Data collection Quality assurance and quality control Inventory management and archiving Experiences of and plans for the establishment of national systems.

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

Quality metadata in order to enable users of the data to judge its fitness for purpose.

The meeting developed recommendations for improving the quality and availability of data at the national level.

Status of compliance with annual data reporting requirements (Article 7, paragraphs 3 and 4)

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.

Certifications are in fact often based on customer contractual requirements rather than a desire to actually improve quality.

The quality of financial disclosure could be undermined when consolidation requirements on financial reporting are not followed appropriately.

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

Continuing validation of all observational components is necessary to insure the high quality of the data products.

Data archiving must include detailed metadata that describe the quality of the measurement and the instrument history.