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FAO / INFOODS Guidelines: Guidelines for Checking Food Composition Data prior to the Publication of a User Table/Database - Version 1.0





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    Book (stand-alone)
    FAO/INFOODS Guidelines for Checking Food Composition Data prior to the Publication of a User Table/Database-Version 1.0 2012
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    Food composition data play an essential role in many sectors, including nutrition, health, agriculture, environment, food labelling and trade (Burlingame, 2004; Greenfield and Southgate, 2003; Pennington, 2008). Over the last 25 years, INFOODS has developed many international standards, guidelines and tools to obtain harmonized food composition data. They contain criteria for analytical data, guidelines on component identifiers, data compilation, food nomenclature, interchange and quality evalua tion (INFOODS, 2012a; Greenfield and Southgate, 2003; Klensin et al., 1989; Rand et al., 1991; Truswell et al.,1991). They were supplemented by guidelines from others such as EuroFIR (EuroFIR, 2012a; Westenbrink et al., 2009). However, as there are no guidelines on the validation/verification of data prior to publishing them in a user table/database (DB), INFOODS and FAO decided to develop such guidelines through the INFOODS network. The document was constructed on the assumption that the user t able/DB was developed according to the criteria set by Greenfield and Southgate (2003, pp.14-15) as outlined in Figure 1. It reflects the different stages of food composition database management until the production of user tables/DBs. Checks should be performed at all levels of the food composition database (FCDB) and a final check is recommended before the release of a user table/DB. The checks described in this document are related to compiled/aggregated data before publication in user tables /DBs. The objective of this document is to outline comprehensively the internal checks to be carried out on the food composition data and documentation prior to their publication in the user table/DB (section 3). For those compilers not yet familiar with the compilation and publication procedures of food composition data, a section on general issues (section 2) was added to give a brief overview of important issues which are useful for a better understanding of the checks and for keeping the c hecks as short as possible, i.e. without the need for further explanations. which provide further useful information for those with less experience in database compilation
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    Book (stand-alone)
    Directives FAO/INFOODS sur la vérification des données sur la composition des aliments avant a publication d’une table / base de données utilisateur. Version 1.0 2015
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    L’objectif de ce document est d’exposer de manière exhaustive les contrôles internes qui doivent être effectués sur les données relatives à la composition des aliments avant de leur publication dans une table/base de données utilisateur. English version of this publication "FAO/INFOODS Guidelines for Checking Food Composition Data prior to the Publication of a User Table/Database-Version 1.0" is published under job number ap810
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    Book (stand-alone)
    FAO/INFOODS Databases - Analytical Food Composition Database Version 1.0 / AnFooD1.0 2012
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    This database assists countries to obtain high quality food composition data for their work. It is a global repository of solely analytical data on foods consumed commonly and represents the equivalent of an archival database.
  • Thumbnail Image
    Book (stand-alone)
    FAO/INFOODS Guidelines for Checking Food Composition Data prior to the Publication of a User Table/Database-Version 1.0 2012
    Also available in:

    Food composition data play an essential role in many sectors, including nutrition, health, agriculture, environment, food labelling and trade (Burlingame, 2004; Greenfield and Southgate, 2003; Pennington, 2008). Over the last 25 years, INFOODS has developed many international standards, guidelines and tools to obtain harmonized food composition data. They contain criteria for analytical data, guidelines on component identifiers, data compilation, food nomenclature, interchange and quality evalua tion (INFOODS, 2012a; Greenfield and Southgate, 2003; Klensin et al., 1989; Rand et al., 1991; Truswell et al.,1991). They were supplemented by guidelines from others such as EuroFIR (EuroFIR, 2012a; Westenbrink et al., 2009). However, as there are no guidelines on the validation/verification of data prior to publishing them in a user table/database (DB), INFOODS and FAO decided to develop such guidelines through the INFOODS network. The document was constructed on the assumption that the user t able/DB was developed according to the criteria set by Greenfield and Southgate (2003, pp.14-15) as outlined in Figure 1. It reflects the different stages of food composition database management until the production of user tables/DBs. Checks should be performed at all levels of the food composition database (FCDB) and a final check is recommended before the release of a user table/DB. The checks described in this document are related to compiled/aggregated data before publication in user tables /DBs. The objective of this document is to outline comprehensively the internal checks to be carried out on the food composition data and documentation prior to their publication in the user table/DB (section 3). For those compilers not yet familiar with the compilation and publication procedures of food composition data, a section on general issues (section 2) was added to give a brief overview of important issues which are useful for a better understanding of the checks and for keeping the c hecks as short as possible, i.e. without the need for further explanations. which provide further useful information for those with less experience in database compilation
  • Thumbnail Image
    Book (stand-alone)
    Directives FAO/INFOODS sur la vérification des données sur la composition des aliments avant a publication d’une table / base de données utilisateur. Version 1.0 2015
    Also available in:

    L’objectif de ce document est d’exposer de manière exhaustive les contrôles internes qui doivent être effectués sur les données relatives à la composition des aliments avant de leur publication dans une table/base de données utilisateur. English version of this publication "FAO/INFOODS Guidelines for Checking Food Composition Data prior to the Publication of a User Table/Database-Version 1.0" is published under job number ap810
  • Thumbnail Image
    Book (stand-alone)
    FAO/INFOODS Databases - Analytical Food Composition Database Version 1.0 / AnFooD1.0 2012
    Also available in:
    No results found.

    This database assists countries to obtain high quality food composition data for their work. It is a global repository of solely analytical data on foods consumed commonly and represents the equivalent of an archival database.
  • Thumbnail Image
    Book (stand-alone)
    FAO/INFOODS Guidelines for Checking Food Composition Data prior to the Publication of a User Table/Database-Version 1.0 2012
    Also available in:

    Food composition data play an essential role in many sectors, including nutrition, health, agriculture, environment, food labelling and trade (Burlingame, 2004; Greenfield and Southgate, 2003; Pennington, 2008). Over the last 25 years, INFOODS has developed many international standards, guidelines and tools to obtain harmonized food composition data. They contain criteria for analytical data, guidelines on component identifiers, data compilation, food nomenclature, interchange and quality evalua tion (INFOODS, 2012a; Greenfield and Southgate, 2003; Klensin et al., 1989; Rand et al., 1991; Truswell et al.,1991). They were supplemented by guidelines from others such as EuroFIR (EuroFIR, 2012a; Westenbrink et al., 2009). However, as there are no guidelines on the validation/verification of data prior to publishing them in a user table/database (DB), INFOODS and FAO decided to develop such guidelines through the INFOODS network. The document was constructed on the assumption that the user t able/DB was developed according to the criteria set by Greenfield and Southgate (2003, pp.14-15) as outlined in Figure 1. It reflects the different stages of food composition database management until the production of user tables/DBs. Checks should be performed at all levels of the food composition database (FCDB) and a final check is recommended before the release of a user table/DB. The checks described in this document are related to compiled/aggregated data before publication in user tables /DBs. The objective of this document is to outline comprehensively the internal checks to be carried out on the food composition data and documentation prior to their publication in the user table/DB (section 3). For those compilers not yet familiar with the compilation and publication procedures of food composition data, a section on general issues (section 2) was added to give a brief overview of important issues which are useful for a better understanding of the checks and for keeping the c hecks as short as possible, i.e. without the need for further explanations. which provide further useful information for those with less experience in database compilation
  • Thumbnail Image
    Book (stand-alone)
    Directives FAO/INFOODS sur la vérification des données sur la composition des aliments avant a publication d’une table / base de données utilisateur. Version 1.0 2015
    Also available in:

    L’objectif de ce document est d’exposer de manière exhaustive les contrôles internes qui doivent être effectués sur les données relatives à la composition des aliments avant de leur publication dans une table/base de données utilisateur. English version of this publication "FAO/INFOODS Guidelines for Checking Food Composition Data prior to the Publication of a User Table/Database-Version 1.0" is published under job number ap810
  • Thumbnail Image
    Book (stand-alone)
    FAO/INFOODS Databases - Analytical Food Composition Database Version 1.0 / AnFooD1.0 2012
    Also available in:
    No results found.

    This database assists countries to obtain high quality food composition data for their work. It is a global repository of solely analytical data on foods consumed commonly and represents the equivalent of an archival database.

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