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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 1,661 to 1,680.First8081828384858687Last
Id Label Status Status Modified Notation
545058 Valašské Meziříčí Quick edit Valid 2013-05-30 545058
545066 Srubec Quick edit Valid 2013-05-30 545066
545074 Staré Hodějovice Quick edit Valid 2013-05-30 545074
545082 Strážkovice Quick edit Valid 2013-05-30 545082
545091 Střížov Quick edit Valid 2013-05-30 545091
545104 Svatý Jan nad Malší Quick edit Valid 2013-05-30 545104
545112 Valašské Příkazy Quick edit Valid 2013-05-30 545112
545121 Ševětín Quick edit Valid 2013-05-30 545121
545139 Štěpánovice Quick edit Valid 2013-05-30 545139
545147 Velká Lhota Quick edit Valid 2013-05-30 545147
545155 Temelín Quick edit Valid 2013-05-30 545155
545163 Velké Karlovice Quick edit Valid 2013-05-30 545163
545171 Trhové Sviny Quick edit Valid 2013-05-30 545171
545180 Slavíkovice Quick edit Valid 2013-05-30 545180
545198 Vidče Quick edit Valid 2013-05-30 545198
545201 Týn nad Vltavou Quick edit Valid 2013-05-30 545201
545210 Vigantice Quick edit Valid 2013-05-30 545210
545228 Včelná Quick edit Valid 2013-05-30 545228
545236 Zašová Quick edit Valid 2013-05-30 545236
545244 Zděchov Quick edit Valid 2013-05-30 545244
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?