Mapping: NQAF to IMF DQAF

From the Generic National Quality Assurance Framework (NQAF) to the International Monetary Fund’s
Generic Data Quality Assessment Framework (DQAF)

Generic National Quality Assurance Framework Template (NQAF)		International Monetary Fund’s Data Quality Assessment Framework (DQAF)
3a. Managing the statistical system
NQAF1	Coordinating the national statistical system	0.1.1 The responsibility for collecting, processing, and disseminating the statistics is clearly specified. 0.1.2 Data sharing and coordination among data-producing agencies are adequate.
NQAF2.	Managing relationships with data users and data providers	5.3.1 Contact points for each subject field are publicized.
NQAF3	Managing statistical standards	3.1.2 Source data reasonably approximate the definitions, scope, classifications, valuation, and time of recording required.
3b. Managing the institutional environment
NQAF4	Assuring professional independence	1.1.2 Choices of sources and statistical techniques as well as decisions about dissemination are informed solely by statistical considerations. 1.1.3 The appropriate statistical entity is entitled to comment on erroneous interpretation and misuse of statistics.
NQAF5	Assuring impartiality and objectivity	1.1.1 Statistics are produced on an impartial basis.
NQAF6	Assuring transparency	1.2.1 The terms and conditions under which statistics are collected, processed, and disseminated are available to the public. 1.2.2 Internal governmental access to statistics prior to their release is publicly identified. 1.2.3 Products of statistical agencies/units are clearly identified as such. 1.2.4 Advanced notice is given of major changes in methodology, source data, and statistical techniques.
NQAF7	Assuring statistical confidentiality and security	0.1.3 Individual reporters’ data are to be kept confidential and used for statistical purposes only.
NQAF8	Assuring the quality commitment	0.4.1 Processes are in place to focus on quality. 0.4.2 Processes are in place to monitor the quality of the statistical program. 0.4.3 Processes are in place to deal with quality considerations in planning the statistical program.
NQAF9	Assuring adequacy of resources	0.2.1 Staff, facilities, computing resources, and financing are commensurate with statistical programs.
3c. Managing statistical processes
NQAF10.	Assuring methodological soundness	2.1 Concepts and definitions — Concepts and definitions used are in accord with internationally accepted statistical frameworks. 2.2 Scope — The scope is in accord with internationally accepted standards, guidelines, or good practices. 2.3 Classification/sectorization — Classification and sectorization systems are in accord with internationally accepted standards, guidelines, or good practices. 2.4 Basis for recording — Flows and stocks are valued and recorded according to internationally accepted standards, guidelines, or good practices.
NQAF11.	Assuring cost-effectiveness	0.2.2 Measures to ensure efficient use of resources are implemented.
NQAF12.	Assuring soundness of implementation	3.1.1. Source data are collected from comprehensive data collection programs that take into account country-specific conditions. 3.3.1 Data compilation employs sound statistical techniques to deal with data sources. 3.3.2 Other statistical procedures (e.g., data adjustments and transformations, and statistical analysis) employ sound statistical techniques.
NQAF13.	Managing the respondent burden	0.1.4 Statistical reporting is ensured through legal mandate and/or measures to encourage response.
3d. Managing statistical outputs
NQAF14.	Assuring relevance	0.3.1 The relevance and practical utility of existing statistics in meeting users’ needs are monitored.
NQAF15.	Assuring accuracy and reliability	3.2.1 Source data—including censuses, sample surveys, and administrative records— are routinely assessed, e.g., for coverage, sample error, response error, and nonsampling error; the results of the assessments are monitored and made available to guide statistical processes. 3.4.1 Intermediate results are validated against other information where applicable. 3.4.2 Statistical discrepancies in intermediate data are assessed and investigated. 3.4.3 Statistical discrepancies and other potential indicators of problems in statistical outputs are investigated. 3.5.1 Studies and analyses of revisions are carried out routinely and used internally to inform statistical processes (see also 4.3.3). 4.3.1 Revisions follow a regular and transparent schedule. 4.3.2 Preliminary and/or revised data are clearly identified. 4.3.3 Studies and analyses of revisions are made public (see also 3.5.1).
NQAF16.	Assuring timeliness and punctuality	3.1.3 Source data are timely. 4.1.1 Periodicity follows dissemination standards. 4.1.2 Timeliness follows dissemination standards. 5.1.3 Statistics are released on a preannounced schedule.
NQAF17.	Assuring accessibility and clarity	5.1.1 Statistics are presented in a way that facilitates proper interpretation and meaningful comparisons (layout and clarity of text, tables, and charts). 5.1.2 Dissemination media and format are adequate. 5.1.4 Statistics are made available to all users at the same time. 5.1.5 Statistics not routinely disseminated are made available upon request. 5.2.1 Documentation on concepts, scope, classifications, basis of recording, data sources, and statistical techniques is available, and differences from internationally accepted standards, guidelines, or good practices are annotated. 5.2.2 Levels of detail are adapted to the needs of the intended audience. 5.3.2 Catalogs of publications, documents, and other services, including information on any charges, are widely available.
NQAF18.	Assuring coherence and comparability	4.2.1 Statistics are consistent within the dataset. 4.2.2 Statistics are consistent or reconcilable over a reasonable period of time. 4.2.3 Statistics are consistent or reconcilable with those obtained through other data sources and/or statistical frameworks.
NQAF19.	Managing metadata