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 441 to 460.First1920212223242526Last
Id Label Status Status Modified Notation
PC_GDP Percentage of gross domestic product (GDP) Quick edit Valid 2013-09-24 PC_GDP
PC_GDP_3Y Percentage of GDP - three-year average Quick edit Valid 2013-09-24 PC_GDP_3Y
PC_GDP_NSA Percentage of gross domestic product (GDP), (NSA) Quick edit Valid 2015-06-12 PC_GDP_NSA
PC_GDP_SCA Percentage of gross domestic product (GDP), (SCA) Quick edit Valid 2016-02-18 PC_GDP_SCA
PC_GEXP Percentage of government expenditure Quick edit Valid 2013-11-20 PC_GEXP
PC_GNI Percentage of gross national income (GNI) Quick edit Valid 2015-06-16 PC_GNI
PC_GVA Percentage of gross value added (GVA) Quick edit Valid 2015-03-19 PC_GVA
PC_HC Percentage based on head count (HC) Quick edit Valid 2015-04-23 PC_HC
PC_HH Percentage of households Quick edit Valid 2013-09-24 PC_HH
PC_HH_BROADX Percentage of households without broadband access Quick edit Valid 2013-09-24 PC_HH_BROADX
PC_HH_IACC Percentage of households with internet access at home Quick edit Valid 2013-09-24 PC_HH_IACC
PC_HH_IACCX Percentage of households without internet access at home Quick edit Valid 2013-09-24 PC_HH_IACCX
PC_IGRTX Percentage of individuals who have used internet but not for sending filled forms to public authorities Quick edit Valid 2013-11-13 PC_IGRTX
PC_IGRTX_NAPX Percentage of individuals who have used internet but not for sending filled forms to public authorities although they had to Quick edit Valid 2013-11-13 PC_IGRTX_NAPX
PC_INAC Percentage of population outside the labour force Quick edit Valid 2013-09-24 PC_INAC
PC_INAC_WWRK Percentage of population outside the labour force and wanting to work Quick edit Valid 2023-05-10 PC_INAC_WWRK
PC_IND Percentage of individuals Quick edit Valid 2013-09-24 PC_IND
PC_IND_BFFOR Percentage of individuals who purchased online from sellers from other countries (EU or non-EU) Quick edit Valid 2017-07-26 PC_IND_BFFOR
PC_IND_BGT3_IU3 Percentage of individuals who used internet and did not purchase online in the last 3 months Quick edit Valid 2023-05-10 PC_IND_BGT3_IU3
PC_IND_BHHS Percentage of individuals who purchased online household services Quick edit Valid 2020-06-10 PC_IND_BHHS
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?