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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 2,041 to 2,060.First99100101102103104105106Last
Id Label Status Status Modified Notation
HU Hungary Quick edit Valid 2013-09-25 HU
HU1 Közép-Magyarország Quick edit Valid 2013-09-25 HU1
HU10 Közép-Magyarország (NUTS 2013) Quick edit Valid 2013-09-25 HU10
HU101 Budapest (NUTS 2013) Quick edit Valid 2013-09-25 HU101
HU102 Pest (NUTS 2013) Quick edit Valid 2013-09-25 HU102
HU11 Budapest Quick edit Valid 2018-02-07 HU11
HU110 Budapest Quick edit Valid 2018-02-07 HU110
HU12 Pest Quick edit Valid 2018-02-07 HU12
HU120 Pest Quick edit Valid 2018-02-07 HU120
HU2 Dunántúl Quick edit Valid 2013-09-25 HU2
HU21 Közép-Dunántúl Quick edit Valid 2013-09-25 HU21
HU211 Fejér Quick edit Valid 2013-09-25 HU211
HU212 Komárom-Esztergom Quick edit Valid 2013-09-25 HU212
HU213 Veszprém Quick edit Valid 2013-09-25 HU213
HU22 Nyugat-Dunántúl Quick edit Valid 2013-09-25 HU22
HU221 Gyor-Moson-Sopron Quick edit Valid 2013-09-25 HU221
HU222 Vas Quick edit Valid 2013-09-25 HU222
HU223 Zala Quick edit Valid 2013-09-25 HU223
HU23 Dél-Dunántúl Quick edit Valid 2013-09-25 HU23
HU231 Baranya Quick edit Valid 2013-09-25 HU231
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?