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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 4,001 to 4,020.First197198199200201202203204Last
Id Label Status Status Modified Notation
573051 Konecchlumí Quick edit Valid 2013-05-30 573051
573060 Kopidlno Quick edit Valid 2013-05-30 573060
573078 Neratov Quick edit Valid 2013-05-30 573078
573086 Lískovice Quick edit Valid 2013-05-30 573086
573094 Lázně Bělohrad Quick edit Valid 2013-05-30 573094
573108 Libáň Quick edit Valid 2013-05-30 573108
573116 Libošovice Quick edit Valid 2013-05-30 573116
573124 Libuň Quick edit Valid 2013-05-30 573124
573132 Starý Bydžov Quick edit Valid 2013-05-30 573132
573141 Lukavec u Hořic Quick edit Valid 2013-05-30 573141
573159 Lužany Quick edit Valid 2013-05-30 573159
573167 Markvartice Quick edit Valid 2013-05-30 573167
573175 Miletín Quick edit Valid 2013-05-30 573175
573183 Zelenecká Lhota Quick edit Valid 2013-05-30 573183
573191 Sadová Quick edit Valid 2013-05-30 573191
573205 Mladějov Quick edit Valid 2013-05-30 573205
573213 Mlázovice Quick edit Valid 2013-05-30 573213
573221 Rohoznice Quick edit Valid 2013-05-30 573221
573230 Nemyčeves Quick edit Valid 2013-05-30 573230
573248 Nová Paka Quick edit Valid 2013-05-30 573248
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?