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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
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:prefLabel 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

5,302 concepts found, displaying 1,741 to 1,760.First8485868788899091Last
Id Label Status Status Modified Notation
24476 Dalbok dol Quick edit Valid 2013-05-30 24476
24482 Dalboki Quick edit Valid 2013-05-30 24482
24493 Dalbok izvor Quick edit Valid 2013-05-30 24493
24517 Dalga luka Quick edit Valid 2013-05-30 24517
24520 Dalgach Quick edit Valid 2013-05-30 24520
24534 Dalgi del Quick edit Valid 2013-05-30 24534
24548 Dalgi pripek Quick edit Valid 2013-05-30 24548
24551 Dalgodeltsi Quick edit Valid 2013-05-30 24551
24565 Dalgopol Quick edit Valid 2013-05-30 24565
24579 Dalgo pole Quick edit Valid 2013-05-30 24579
24582 Dalgo pole Quick edit Valid 2013-05-30 24582
24596 Dangovo Quick edit Valid 2013-05-30 24596
24606 Darvari Quick edit Valid 2013-05-30 24606
24623 Darzhava Quick edit Valid 2013-05-30 24623
24637 Darzhaven Quick edit Valid 2013-05-30 24637
24640 Darzhanitsa Quick edit Valid 2013-05-30 24640
24654 Darlevtsi Quick edit Valid 2013-05-30 24654
24668 Darmantsi Quick edit Valid 2013-05-30 24668
24671 Daskarite Quick edit Valid 2013-05-30 24671
24685 Daskot Quick edit Valid 2013-05-30 24685
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?