Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

707 concepts found, displaying 321 to 340.First1314151617181920Last
Id Label Status Status Modified Notation
PCH_WRL_1Y Percentage of world total - 1-year change Quick edit Valid 2013-10-19 PCH_WRL_1Y
PCH_WRL_5Y Percentage of world total - 5-year change Quick edit Valid 2013-09-24 PCH_WRL_5Y
PC_ACT Percentage of population in the labour force Quick edit Valid 2013-09-24 PC_ACT
PC_ACT_FTE Percentage of population in the labour force - numerator in full-time equivalent (FTE) Quick edit Valid 2013-09-24 PC_ACT_FTE
PC_ACT_HC Percentage of population in the labour force - numerator in head count (HC) Quick edit Valid 2013-09-24 PC_ACT_HC
PC_AREA Percentage of area Quick edit Valid 2013-09-24 PC_AREA
PC_AWSVAL Percentage of web sales Quick edit Valid 2013-09-24 PC_AWSVAL
PC_BEN Percentage of total benefits Quick edit Valid 2013-09-24 PC_BEN
PC_CHE Percentual share of total current health expenditure (CHE) Quick edit Valid 2013-09-24 PC_CHE
PC_DI Percentage of disposable income Quick edit Valid 2017-04-12 PC_DI
PC_DT Distance to target in percentage Quick edit Valid 2018-03-07 PC_DT
PC_EA12_MEUR Percentage of EA12 (2001-2006) total (based on million euro) Quick edit Valid 2014-05-16 PC_EA12_MEUR
PC_EA16_MEUR Percentage of EA16 (2009-2010) total (based on million euro) Quick edit Valid 2014-05-16 PC_EA16_MEUR
PC_EA16_MPPS Percentage of EA16 (2009-2010) total (based on million purchasing power standards) Quick edit Valid 2014-05-16 PC_EA16_MPPS
PC_EA17_MEUR Percentage of EA17 (2011-2013) total (based on million euro) Quick edit Valid 2014-05-16 PC_EA17_MEUR
PC_EA17_MPPS Percentage of EA17 (2011-2013) total (based on million purchasing power standards) Quick edit Valid 2014-05-16 PC_EA17_MPPS
PC_EA18_MEUR Percentage of EA18 (2014) total (based on million euro) Quick edit Valid 2014-05-16 PC_EA18_MEUR
PC_EA18_MPPS Percentage of EA18 (2014) total (based on million purchasing power standards) Quick edit Valid 2014-05-16 PC_EA18_MPPS
PC_EA_MEUR Percentage of euro area total (based on million euro) Quick edit Valid 2014-05-16 PC_EA_MEUR
PC_ELF Percentage of extended labour force Quick edit Valid 2017-07-26 PC_ELF
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?