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Eionet
Data Dictionary
Edit vocabulary

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
errorType Fixed values
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
07 Mar 2017
skos:editorialNote Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013
skos:hiddenLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

351 concepts found, displaying 241 to 260.First910111213141516Last
Id Label Status Status Modified Notation
S199 Invalid code. Quick edit Valid 2017-11-23 S199
S200 Mandatory information missing. Quick edit Valid 2017-11-23 S200
S201 Invalid code. Quick edit Valid 2017-11-23 S201
S203 More entries than permitted. Quick edit Valid 2017-11-23 S203
S204 Mandatory information missing. Quick edit Valid 2017-11-23 S204
S205 Invalid code. Quick edit Valid 2017-11-23 S205
S206 Mandatory information missing. Quick edit Valid 2017-11-23 S206
S207 Invalid code. Quick edit Valid 2017-11-23 S207
S208 Mandatory information missing. Quick edit Valid 2017-11-23 S208
S209 Invalid code. Quick edit Valid 2017-11-23 S209
S210 Mandatory information missing. Quick edit Valid 2017-11-23 S210
S211 Invalid code. Quick edit Valid 2017-11-23 S211
S212 Incoherent information. Quick edit Valid 2017-11-23 S212
S213 Incoherent information. Quick edit Valid 2017-11-23 S213
S214 Mandatory information missing. Quick edit Valid 2017-11-23 S214
S215 Invalid code. Quick edit Valid 2017-11-23 S215
S216 Incoherent information. Quick edit Valid 2017-11-23 S216
S217 Incoherent information. Quick edit Valid 2017-11-23 S217
S218 Mandatory information missing. Quick edit Valid 2017-11-23 S218
S219 Invalid code. Quick edit Valid 2017-11-23 S219
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?