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 41 to 60.First12345678Last
Id Label Status Status Modified Notation
CP_PPS_EU27_2020_HAB Current prices, purchasing power standard (PPS, EU27 from 2020) per capita Quick edit Valid 2020-02-25 CP_PPS_EU27_2020_HAB
CP_PPS_HAB Current prices, purchasing power standard per capita Quick edit Valid 2014-08-14 CP_PPS_HAB
CRC_MEUR Current replacement costs, million euro Quick edit Valid 2014-07-24 CRC_MEUR
CRC_MNAC Current replacement costs, million units of national currency Quick edit Valid 2014-07-24 CRC_MNAC
CT Euro cent Quick edit Valid 2013-09-24 CT
CV1 Coefficient of variation for relative value, relating to all enterprises Quick edit Valid 2013-09-24 CV1
CV10 Coefficient of variation for relative value, relating to innovating enterprises with not even started projects Quick edit Valid 2013-09-24 CV10
CV11 Coefficient of variation for relative value, relating to enterprises in the corresponding level of export intensity Quick edit Valid 2013-09-24 CV11
CV12 Coefficient of variation for relative value, relating to enterprises in the corresponding type of firm Quick edit Valid 2013-09-24 CV12
CV2 Coefficient of variation for relative value, relating to innovating enterprises Quick edit Valid 2013-09-24 CV2
CV3 Coefficient of variation for relative value, relating to product innovators Quick edit Valid 2013-09-24 CV3
CV4 Coefficient of variation for relative value, relating to process innovators Quick edit Valid 2013-09-24 CV4
CV5 Coefficient of variation for relative value, relating to service innovators Quick edit Valid 2013-09-24 CV5
CV6 Coefficient of variation for relative value, relating to total innovation expenditure Quick edit Valid 2013-09-24 CV6
CV7 Coefficient of variation for relative value, relating to enterprises with innovation cooperation Quick edit Valid 2013-09-24 CV7
CV8 Coefficient of variation for relative value, relating to innovating enterprises with seriously delayed projects Quick edit Valid 2013-09-24 CV8
CV9 Coefficient of variation for relative value, relating to innovating enterprises with abolished projects Quick edit Valid 2013-09-24 CV9
CVA Coefficient of variation for absolute value Quick edit Valid 2013-09-24 CVA
DAY Day Quick edit Valid 2013-09-24 DAY
DEGC Degree Celsius Quick edit Valid 2017-10-02 DEGC
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?