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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 4,321 to 4,340.First213214215216217218219220Last
Id Label Status Status Modified Notation
576948 Zdobnice Quick edit Valid 2013-05-30 576948
576956 Žďár nad Orlicí Quick edit Valid 2013-05-30 576956
576964 Semily Quick edit Valid 2013-05-30 576964
576972 Bělá Quick edit Valid 2013-05-30 576972
576981 Benecko Quick edit Valid 2013-05-30 576981
576999 Benešov u Semil Quick edit Valid 2013-05-30 576999
577006 Bozkov Quick edit Valid 2013-05-30 577006
577014 Bradlecká Lhota Quick edit Valid 2013-05-30 577014
577031 Bukovina u Čisté Quick edit Valid 2013-05-30 577031
577049 Bystrá nad Jizerou Quick edit Valid 2013-05-30 577049
577057 Čistá u Horek Quick edit Valid 2013-05-30 577057
577073 Háje nad Jizerou Quick edit Valid 2013-05-30 577073
577081 Harrachov Quick edit Valid 2013-05-30 577081
577111 Holenice Quick edit Valid 2013-05-30 577111
577120 Horní Branná Quick edit Valid 2013-05-30 577120
577146 Hrubá Skála Quick edit Valid 2013-05-30 577146
577154 Chuchelna Quick edit Valid 2013-05-30 577154
577162 Jablonec nad Jizerou Quick edit Valid 2013-05-30 577162
577171 Jesenný Quick edit Valid 2013-05-30 577171
577189 Jestřabí v Krkonoších Quick edit Valid 2013-05-30 577189
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?