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
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  • 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 301 to 320.First1213141516171819Last
Id Label Status Status Modified Notation
PCH_PRE_NAC_CP Percentage change on previous period, national currency, current prices Quick edit Valid 2016-09-26 PCH_PRE_NAC_CP
PCH_PRE_PER Percentage change on previous period (based on persons) Quick edit Valid 2014-07-09 PCH_PRE_PER
PCH_PRE_PERS_SCA Percentage change on previous period (based on persons, SCA) Quick edit Valid 2016-02-18 PCH_PRE_PERS_SCA
PCH_Q1_NSA Percentage change q/q-1 (NSA) Quick edit Valid 2013-09-24 PCH_Q1_NSA
PCH_Q1_SCA Percentage change q/q-1 (SCA) Quick edit Valid 2016-02-03 PCH_Q1_SCA
PCH_Q4_CA Percentage change q/q-4 (CA) Quick edit Valid 2016-02-03 PCH_Q4_CA
PCH_Q4_NSA Percentage change q/q-4 (NSA) Quick edit Valid 2013-09-24 PCH_Q4_NSA
PCH_Q4_SCA Percentage change q/q-4 (SCA) Quick edit Valid 2019-04-03 PCH_Q4_SCA
PCH_RV Percentage change, real values Quick edit Valid 2020-03-04 PCH_RV
PCH_SAME_PERS_NSA Percentage change compared to same period in previous year (based on persons, NSA) Quick edit Valid 2013-09-24 PCH_SAME_PERS_NSA
PCH_SM Percentage change compared to same period in previous year Quick edit Valid 2013-09-24 PCH_SM
PCH_SM_19 Percentage change compared to same month in 2019 Quick edit Valid 2023-05-10 PCH_SM_19
PCH_SM_2Y Percentage change compared to same period two years ago Quick edit Valid 2023-05-10 PCH_SM_2Y
PCH_SM_EUR Percentage change compared to same period in previous year, euro Quick edit Valid 2014-07-09 PCH_SM_EUR
PCH_SM_FTE Percentage change compared to same period in previous year (based on full-time equivalents) Quick edit Valid 2014-07-09 PCH_SM_FTE
PCH_SM_HW Percentage change compared to same period in previous year (based on hours worked) Quick edit Valid 2014-07-09 PCH_SM_HW
PCH_SM_JOB Percentage change compared to same period in previous year (based on jobs) Quick edit Valid 2014-07-09 PCH_SM_JOB
PCH_SM_PER Percentage change compared to same period in previous year (based on persons) Quick edit Valid 2014-07-09 PCH_SM_PER
PCH_SM_PER_NSA Percentage change compared to same period in previous year (based on persons, NSA) Quick edit Valid 2019-05-15 PCH_SM_PER_NSA
PCH_SM_PER_SCA Percentage change compared to same period in previous year (based on persons, SCA) Quick edit Valid 2019-05-15 PCH_SM_PER_SCA
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?