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

Statistical metadata and data quality

Library staff can now apply these skills to information architecture, web site design, taxonomy development, metadata management and corporate data quality both for specialized and cross organizational information and content management systems.

2.2 Sources and Quality of Data

Data management

Data management

Partnership management should ensure quality.

Improvement in related metadata and data quality.

Data collection and management.

Water quality, ecosystem management and disaster prevention

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.

Disk and data archive management tool

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

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.

Three years later, when asset and liability management needs have become more urgent, the need for a statistician to maintain the quality of the Fund's data, to enhance the collection systems and to produce better and more relevant statistical reports for management appears even more evident.

The existing state of the health information system and the data collection methodology is such that they not provide for a data base based on which a qualitative assessment of the state of health of the population could be given, nor do they give the possibility for quality planning, management, decision making, ensuring of quality and improvement of effectiveness of the health care protection.

The goals of conference management are fourfold quality, quantity, timeliness and cost effectiveness.

The collection, analysis and use of geographic information was thus a starting point for sustainable development, because the poor quality of data collection and management in many societies prevented any meaningful plan of action from being undertaken.

Quality management and traceability systems must be in place in the entire food chain.

(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.

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

To this end, a contract is being arranged to develop and implement a quality assurance programme, to teach the principles of quality management and to assist in the formulation of global quality assurance surveillance plans.

The Research and Analysis Section started to streamline its data management mechanisms through introduction of business intelligence and data warehousing methodologies.

The effective management of these remains from the harvest minimizes soil erosion and improves water quality.

The aim is to automate the verification of data, calculate entitlements and update data electronically and import the data directly into the human resources management and payroll system.

(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.

Key feeder systems include statistical and narrative reports from the Atlas helpdesk longitudinal analysis of the results from the Atlas data quality dashboard review of electronic user feedback on the management practice network and review of training evaluation reports and relevant user surveys.

Effective air quality management systems are developed in the context of diverse social, economic and political considerations.

The European Foundation for Quality Management analyses organizations according to a list of weighted enablers and results.

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

In the United States of America, for example, public organizations are regularly assessed according to the Baldridge National Quality Program, a Total Quality Management (TQM) set of organizational criteria.

(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.

Efficient land use management could be enhanced through computerization of land records and data.

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.

In order to enhance the quality of security management, an accurate analysis of the prevailing situation was essential.

In many countries, data collection and monitoring capacities need to be strengthened by developing or rehabilitating monitoring networks and strengthening national data management programmes.