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statcodelists: Use Standardized Statistical Codelists in R

Authors: Daniel Antal;

statcodelists: Use Standardized Statistical Codelists in R

Abstract

The goal of statcodelists is to promote the reuse and exchange of statistical information and related metadata with making the internationally standardized SDMX codelists available for the R user. Package website: statcodelists.dataobservatory.eu Cross-domain concepts in the SDMX framework describe concepts relevant to many, if not all, statistical domains. SDMX recommends using these concepts whenever feasible in SDMX structures and messages to promote the reuse and exchange of statistical information and related metadata between organisations. Code lists are predefined sets of terms from which some statistical coded concepts take their values. SDMX cross-domain code lists are used to support cross-domain concepts. The use of common code lists will help users to work even more efficiently, easing the maintenance of and reducing the need for mapping systems and interfaces delivering data and metadata to them. Therefore, a choice over code lists has a great impact on the efficiency of data sharing. `statcodelists` helps the use of the latest codelist in your R workflow.

Keywords

http://id.loc.gov/authorities/subjects/sh85127580, Data observatory, Statistical Data and Metadata eXchange, https://id.loc.gov/authorities/subjects/sh2002004407.html, https://id.loc.gov/authorities/subjects/sh96000740.html, SDMX

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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