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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

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

3,152 concepts found, displaying 201 to 220.First7891011121314Last
Id Label Status Status Modified Notation
1206 Hermánszeg Quick edit Valid 2013-05-30 1206
1207 Pétervására Quick edit Valid 2013-05-30 1207
1208 Gelse Quick edit Valid 2013-05-30 1208
1209 Nyírtura Quick edit Valid 2013-05-30 1209
1210 Vasszilvágy Quick edit Valid 2013-05-30 1210
1211 Kajárpéc Quick edit Valid 2013-05-30 1211
1212 Letenye Quick edit Valid 2013-05-30 1212
1213 Nógrádmegyer Quick edit Valid 2013-05-30 1213
1214 Csepreg Quick edit Valid 2013-05-30 1214
1215 Hejőszalonta Quick edit Valid 2013-05-30 1215
1216 Patca Quick edit Valid 2013-05-30 1216
1217 Kardoskút Quick edit Valid 2013-05-30 1217
1218 Pátroha Quick edit Valid 2013-05-30 1218
1219 Romhány Quick edit Valid 2013-05-30 1219
1220 Zók Quick edit Valid 2013-05-30 1220
1221 Tállya Quick edit Valid 2013-05-30 1221
1222 Terpes Quick edit Valid 2013-05-30 1222
1223 Balatonederics Quick edit Valid 2013-05-30 1223
1224 Kemenesmagasi Quick edit Valid 2013-05-30 1224
1225 Füzesgyarmat Quick edit Valid 2013-05-30 1225
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?