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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 3,981 to 4,000.First196197198199200201202203Last
Id Label Status Status Modified Notation
572853 Pravy Quick edit Valid 2013-05-30 572853
572861 Křičeň Quick edit Valid 2013-05-30 572861
572870 Němčice Quick edit Valid 2013-05-30 572870
572888 Újezd u Sezemic Quick edit Valid 2013-05-30 572888
572896 Černá u Bohdanče Quick edit Valid 2013-05-30 572896
572900 Holín Quick edit Valid 2013-05-30 572900
572918 Holovousy Quick edit Valid 2013-05-30 572918
572926 Hořice Quick edit Valid 2013-05-30 572926
572934 Stéblová Quick edit Valid 2013-05-30 572934
572942 Plch Quick edit Valid 2013-05-30 572942
572951 Podůlšany Quick edit Valid 2013-05-30 572951
572969 Chomutice Quick edit Valid 2013-05-30 572969
572977 Dubany Quick edit Valid 2013-05-30 572977
572985 Třebosice Quick edit Valid 2013-05-30 572985
572993 Jeřice Quick edit Valid 2013-05-30 572993
573001 Jičíněves Quick edit Valid 2013-05-30 573001
573019 Holotín Quick edit Valid 2013-05-30 573019
573027 Sovolusky Quick edit Valid 2013-05-30 573027
573035 Morašice Quick edit Valid 2013-05-30 573035
573043 Kněžnice Quick edit Valid 2013-05-30 573043
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?