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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

291 concepts found, displaying 81 to 100.First12345678Last
Id Label Status Status Modified Notation
B081 Mandatory information missing. Quick edit Valid 2019-04-16 B081
B082 Invalid code. Quick edit Valid 2019-04-16 B082
B083 Incoherent information. Quick edit Valid 2019-04-16 B083
B084 Mandatory information missing. Quick edit Valid 2019-04-16 B084
B085 Incorrect data format. Quick edit Valid 2019-04-16 B085
B086 Incoherent information. Quick edit Valid 2019-04-16 B086
B087 Mandatory information missing. Quick edit Valid 2019-04-16 B087
B088 Invalid code. Quick edit Valid 2019-04-16 B088
B089 Mandatory information missing. Quick edit Valid 2019-04-16 B089
B090 Incorrect data format. Quick edit Valid 2019-04-16 B090
B091 Incorrect data format. Quick edit Valid 2019-04-16 B091
B092 5.2.3b Long-term trend Magnitude - max should be greater or equal min. Quick edit Valid 2019-04-16 B092
B093 Incorrect data format. Quick edit Valid 2019-04-16 B093
B094 Mandatory information missing. Quick edit Valid 2019-04-16 B094
B095 Invalid code. Quick edit Valid 2019-04-16 B095
B096 Incoherent information. Quick edit Valid 2019-04-16 B096
B097 Mandatory information missing. Quick edit Valid 2019-04-16 B097
B098 Invalid code. Quick edit Valid 2019-04-16 B098
B099 Incoherent information. Quick edit Valid 2019-04-16 B099
B100 Mandatory information missing. Quick edit Valid 2019-04-16 B100
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?