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Accuracy

Closeness of computations or estimates to the exact or true values that the statistics were intended to measure. Source: SDMX (2009).

Additional information:
Accuracy refers to how well statistical information describes an event. It is related to the term 'reliability', which refers to the precision of statistical estimations and their closeness to the real value.

Aggregation

A process that transforms microdata into aggregate-level information by using an aggregation function such as count, sum average, standard deviation, etc. Source: SDMX (2009).

Additional information:
The process of gathering and assembling separate pieces of data into one entity. More specifically, aggregation means combining primary data into a group, typically for the purpose of creating a summary.

AGROVOC (Agricultural Information Management Standards)

A multilingual controlled vocabulary for all subject fields dealing with agriculture, forestry, fisheries, food, and related areas.

API (Application Programming Interface)

A protocol that enables interaction between different software components, generally for data exchange.

Attribute

A characteristic of an object or entity. A data or metadata attribute is a statistical concept providing qualitative information about a specific statistical object such as a data set, observation, data provider, or dataflow. Concepts such as units, magnitude, currency of denomination, titles and methodological comments can be used as attributes in the context of an agreed data exchange. Source: SDMX (2009).

Blind data

A way of describing the data availability of a concept, for example, a dimension or dataset, counting the available data points. It can be expressed in available number of data points or as a percentage of possible data points.

Catalogue

Refers to the application that stores and manages all of the resources in data.fao.org. It also manages the linkages between resources in terms of tagging, common landing pages, and lists of items.

In data.fao.org, the 'catalogue' navigation menu item specifies and organizes data at the dataset or database level.

Concepts

In data.fao.org, the 'concept' navigation menu item specifies and organizes data at an in-depth leavel, by dimension member, dimension, or measure.

Cell

A cell is the location where a specific measurement is stored. Cells can sometimes have associated metadata that is referred to as 'flags' or 'observation metadata', such as the following.

  • How it was produced. For example, observation, estimation, or modeling.
  • Constraints on access or disseminations.
  • Official or non-official data.

Classification system

Arrangement or division of objects into groups based on characteristics which the objects have in common. Source: SDMX (2009).

 

Additional information:
A system for categorizing a set of elements, usually grouping them hierarchically by common characteristics. The use of common standard classification systems enhances the use and exchange of statistical data.

 

Coherence

Adequacy of statistics to be combined in different ways and for various uses. Source: SDMX (2009).

Additional information:
Statistics often can be combined in different ways and for different purposes. Data is coherent if the indicators that result can always be compared.

 

Comparability

The extent to which differences between statistics can be attributed to differences between the true values of the statistical characteristics. Source: SDMX (2009).

 

Additional information:
Statistics often come from different sources and therefore different results can occur. This is due to diverse systems and methodologies. Comparability refers to how well statistical data, dealing with different subjects and coming from different sources, can be accurately analyzed. Data can be comparable through time or space.

 

Completeness

A metadata concept that refers to the extent to which all necessary data is available. It is an indication of the quality of the data.

Computation

Refers to the formula that is used to calculate the measure.

Confidentiality

A property of data indicating the extent to which their unauthorised disclosure could be prejudicial or harmful to the interest of the source or other relevant parties. Source: SDMX (2009).

Additional information:
Confidentiality refers to data privacy, including whether or not data can be shared with outside sources. Unauthorised disclosure of data that is confidential is not permitted. Procedures are often set to prevent the sharing of confidential data.

Conformed dimension

A conformed dimension is a dimension that has the same values across all databases, divisions, and departments. It should reflect official concept and values. A conformed dimension is usually stable. Values inside are not subjected to frequent updates or changes.

Conformed dimensions are very important to the enterprise nature of data warehouses and business intelligence systems for the following reasons:

  • Consistency - When the fact table is filtered consistently, the query answer that results is labeled consistently.
  • Integration - Queries are able to locate different fact tables separately and then join the results into common dimension attributes.

Examples of conformed dimensions include: Calendar (date and time), countries (territories), commodities, currencies

Contact

A contact refers to a reference point for data. It can be an individual or an organization. Contact information can also include a mailing or email address, name and title, location information, or a phone number.

Country Profiles

An application that presents basic information about countries, covering all fields that deal with agriculture, forestry, fisheries, food, and related areas.

Cross-sectional data

A cross-sectional study compares different individuals to each other at the same time. It looks at a cross-section of a population. Source: Univ. of California (2013).

Examples:
Agriculture surveys and household budget surveys contain cross-section data for a particular year. Matrices of time series and cross-section data can be constructed.

Database

In data.fao.org, a database is the highest level of resource organization. It can contains statistics, images, maps and documents. It is an organized set of resources that is commonly presented to users through a website or publication and shares the same methodology and metadata. Databases can be categorized and made into collections which are groups of related resources.

Examples:
FAOSTAT, AGRO-MAPS
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