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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

6,250 concepts found, displaying 5,761 to 5,780.First285286287288289290291292Last
Id Label Status Status Modified Notation
594156 Hrušovany nad Jevišovkou Quick edit Valid 2013-05-30 594156
594164 Chvalatice Quick edit Valid 2013-05-30 594164
594172 Chvalovice Quick edit Valid 2013-05-30 594172
594181 Jamolice Quick edit Valid 2013-05-30 594181
594199 Jaroslavice Quick edit Valid 2013-05-30 594199
594202 Jevišovice Quick edit Valid 2013-05-30 594202
594211 Jezeřany-Maršovice Quick edit Valid 2013-05-30 594211
594229 Jiřice u Miroslavi Quick edit Valid 2013-05-30 594229
594237 Kadov Quick edit Valid 2013-05-30 594237
594253 Korolupy Quick edit Valid 2013-05-30 594253
594261 Kravsko Quick edit Valid 2013-05-30 594261
594270 Krhovice Quick edit Valid 2013-05-30 594270
594288 Křepice Quick edit Valid 2013-05-30 594288
594296 Kubšice Quick edit Valid 2013-05-30 594296
594300 Kuchařovice Quick edit Valid 2013-05-30 594300
594318 Kyjovice Quick edit Valid 2013-05-30 594318
594326 Lančov Quick edit Valid 2013-05-30 594326
594334 Lechovice Quick edit Valid 2013-05-30 594334
594342 Lesná Quick edit Valid 2013-05-30 594342
594351 Lesonice Quick edit Valid 2013-05-30 594351
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?