From Wikiprogress.org
This is the guideline for metadata which should accompany data submissions for
wikiprogress.stat. If you have any questions contact info@wikiprogress.org.
Source Items
| Metadata Items
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Description
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| Contact person/organisation
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Contact person, title, unit, organisation, phone number, fax, number, email, city, country, postal code.
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| Data source(s) used
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List original data source(s) used (administrative data, household survey, enterprise/establishment survey, etc).
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| Name of collection/source
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Refers to full title of the original survey collection, administrative source, database or publication from where the data were obtained.
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| Direct source
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Refers to the source from where the data was directly collected.
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| Source Periodicity
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The time distance between observations in source (whether stock or flow). Values: Yearly, Quarterly, monthly, irregular.
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| Source metadata
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Reference or link to metadata from source.
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| Date last input received
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Refers to the date on which the data was last received from the source (national agency or international organisation).
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Characteristics Items
| Metadata Items
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Description
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| Unit of measure used
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Refers to the unit in which associated values are measured, e.g. USD. Could also be thousands, %, ratios…
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Power code
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Power of 10 by which the reported statistics should be multiplied, e.g. “6” indicating millions of USD.
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| Variables collected
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List of variables collected or provision of questionnaire.
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| Sampling
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Refers to information on sample size, sample frame, sample updating, sample (other).
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| Periodicity
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The time distance between observations (whether stock or flow).
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| Reference period
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Period of time the data refer to. For business tendency or consumer opinion surveys this field could also refer to the forecasting horizon.
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| Base period
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The period of time for which data used as the base of an index number, constant prices data or other ratio, have been collected.
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| Date last updated
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Refers to the date on which the data was last updated.
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| Link to Release calendar
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Refers to a link to a general statement on the schedule of release of data.
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| Contact person
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OECD contact person, title, unit, phone number, number, email.
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| Other data characteristics
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Other Data characteristics and collection aspects.
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Scope Items
| Metadata Item
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Description
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| Statistical population
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Target population (the statistical universe about which information is sought).
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| Geographic coverage
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The geographic area covered by the data.
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| Sector coverage
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The range of sectors covered by the data.
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| Institutional coverage
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The range of institutions covered by the data.
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| Item coverage
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The range of items covered by the data.
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| Population coverage
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The population covered by the data.
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| Product coverage
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The range of products covered by the data.
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| Other coverage
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Other issues and information concerning the coverage of the data.
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Concept Items
| Metadata Item
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Description
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| Key statistical concept
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A statistical concept is a statistical characteristic of a time series or an observation. This item should define key statistical concepts included in the domain of study.
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| Classification(s) used
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A classification is a set of discrete, exhaustive and mutually exclusive observations which can be assigned to one or more variables to be measured in the collation and/or presentation of data. This item should list the name of all classifications actually used in the compilation of the data.
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Manipulation Items
| Metadata Item
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Description
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| Aggregation & consolidation
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Aggregation is the combination of related categories, usually within a common branch of a hierarchy, to provide information at a broader level to that at which detailed observations are taken.
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| Estimation
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Estimation is concerned with inference about the numerical value of unknown population values from incomplete data such as a sample.
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| Imputation
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Refers to procedures for entering a value for a specific data item where the response is missing or unusable.
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| Transformations
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Mention of interpolations, and other transformations, indicating method used including, if relevant, formulas employed for transformation.
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| Validation
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A procedure which provides evidence, by reference to independent sources, that an enquiry is free from bias or otherwise conforms to its declared purpose. It may be applied to a sample investigation with the object of showing that the sample is reasonably representative of the population and that the information collected is accurate. Refers to processes applied for the verification of data, data confrontation, and data reconciliation.
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| Index type
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Type of index applied.
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| Weights
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Refers to information on sources of weights, nature of weights, period of current index weights, frequency of weight updates, weights (other).
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| Seasonal adjustment
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Seasonal adjustment is a statistical technique to remove the effects of seasonal calendar influences operating on a series. Seasonal effects usually reflect the influence of the seasons themselves either directly or through production series related to them, or social conventions. It should provide information to enable users to make an assessment of the validity of the seasonal adjustment applied. Such information would comprise: a short description of the method (software) used; the main parameters of the adjustment (e.g. additive v. multiplicative decomposition) and some of the derived information (e.g. trading-day weights).
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| Other manipulations
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Manipulation and adjustments not mentioned under the headings Aggregation & consolidation, Estimation, Imputation, Validation, Index type, Weights, Sampling, Seasonal adjustment.
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| Dissemination format(s)
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Refers to the different dissemination media used to disseminate the data, e.g. news release, paper publication, on-line or database, CD-ROM or other.
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Other Aspects Items
| Metadata Item
|
Description
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| Recommended uses and limitations
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To guide users with limited knowledge of the statistics presented and to help them determine whether the product meets their requirements. Could contain examples of the type of indicators that can be constructed and/or inferences that can be made; the types of analyses that can be performed; the type policy questions it can help answer; the shelf-life of the data product etc. These notes could also explain when caution should be employed, what type of calculations should be avoided and the type of inferences that should not be made.
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| Quality comments
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Gives the possibility for data managers to insert comments of quality aspects or general evaluation of quality, as seen from a user perspective.
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| Other comments
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Other important aspects.
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See Also
