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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 4,921 to 4,940.First243244245246247248249250Last
Id Label Status Status Modified Notation
730205 Meleti Quick edit Valid 2013-05-30 730205
730206 Messi Quick edit Valid 2013-05-30 730206
730207 Nea Kallisti Quick edit Valid 2013-05-30 730207
730208 Paralia Messis Quick edit Valid 2013-05-30 730208
730209 Porpi Quick edit Valid 2013-05-30 730209
730210 Fanari Quick edit Valid 2013-05-30 730210
730301 Arriana Quick edit Valid 2013-05-30 730301
730302 Aghiochori Quick edit Valid 2013-05-30 730302
730303 Darmeni Quick edit Valid 2013-05-30 730303
730304 Dilina Quick edit Valid 2013-05-30 730304
730305 Ipio Quick edit Valid 2013-05-30 730305
730306 Kinyra Quick edit Valid 2013-05-30 730306
730307 Lykio Quick edit Valid 2013-05-30 730307
730308 Mikro Pisto Quick edit Valid 2013-05-30 730308
730309 Mystakas Quick edit Valid 2013-05-30 730309
730310 Neda Quick edit Valid 2013-05-30 730310
730311 Nikites Quick edit Valid 2013-05-30 730311
730312 Plagia Quick edit Valid 2013-05-30 730312
730313 Skaloma Quick edit Valid 2013-05-30 730313
730314 Strofi Quick edit Valid 2013-05-30 730314
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?