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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 5,261 to 5,280.First260261262263264265266267Last
Id Label Status Status Modified Notation
588113 Velký Beranov Quick edit Valid 2013-05-30 588113
588121 Větrný Jeníkov Quick edit Valid 2013-05-30 588121
588130 Věžnice Quick edit Valid 2013-05-30 588130
588148 Věžnička Quick edit Valid 2013-05-30 588148
588156 Vílanec Quick edit Valid 2013-05-30 588156
588164 Volevčice Quick edit Valid 2013-05-30 588164
588172 Vyskytná nad Jihlavou Quick edit Valid 2013-05-30 588172
588181 Vysoké Studnice Quick edit Valid 2013-05-30 588181
588199 Vystrčenovice Quick edit Valid 2013-05-30 588199
588202 Záborná Quick edit Valid 2013-05-30 588202
588211 Zbilidy Quick edit Valid 2013-05-30 588211
588229 Zbinohy Quick edit Valid 2013-05-30 588229
588237 Sazomín Quick edit Valid 2013-05-30 588237
588245 Zdeňkov Quick edit Valid 2013-05-30 588245
588253 Zhoř Quick edit Valid 2013-05-30 588253
588261 Zvolenovice Quick edit Valid 2013-05-30 588261
588270 Žatec Quick edit Valid 2013-05-30 588270
588288 Ždírec Quick edit Valid 2013-05-30 588288
588296 Kroměříž Quick edit Valid 2013-05-30 588296
588300 Bařice-Velké Těšany Quick edit Valid 2013-05-30 588300
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?