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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

6,130 concepts found, displaying 2,521 to 2,540.First123124125126127128129130Last
Id Label Status Status Modified Notation
310507 Sykies Quick edit Valid 2013-05-30 310507
310601 Grammenitsa Quick edit Valid 2013-05-30 310601
310602 Vlacherna Quick edit Valid 2013-05-30 310602
310603 Gribovo Quick edit Valid 2013-05-30 310603
310604 Korfovounio Quick edit Valid 2013-05-30 310604
310701 Diasello Quick edit Valid 2013-05-30 310701
310702 Dimario Quick edit Valid 2013-05-30 310702
310703 Klidi Quick edit Valid 2013-05-30 310703
310704 Petra Quick edit Valid 2013-05-30 310704
310705 Skoulikaria Quick edit Valid 2013-05-30 310705
310801 Ano Kalentini Quick edit Valid 2013-05-30 310801
310802 Velentziko Quick edit Valid 2013-05-30 310802
310803 Dichomirio Quick edit Valid 2013-05-30 310803
310804 Retsiana Quick edit Valid 2013-05-30 310804
310901 Koboti Quick edit Valid 2013-05-30 310901
310902 Sellades Quick edit Valid 2013-05-30 310902
310903 Fotino Quick edit Valid 2013-05-30 310903
311001 Ammotopos Quick edit Valid 2013-05-30 311001
311002 Dafnoti Quick edit Valid 2013-05-30 311002
311003 Kabi Quick edit Valid 2013-05-30 311003
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?