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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 2,441 to 2,460.First119120121122123124125126Last
Id Label Status Status Modified Notation
553883 Ústup Quick edit Valid 2013-05-30 553883
553891 Luženičky Quick edit Valid 2013-05-30 553891
553905 Mrlínek Quick edit Valid 2013-05-30 553905
553913 Meclov Quick edit Valid 2013-05-30 553913
553921 Mezholezy (dříve okres Domažlice) Quick edit Valid 2013-05-30 553921
553930 Mezholezy (dříve okres Horšovský Týn) Quick edit Valid 2013-05-30 553930
553948 Milavče Quick edit Valid 2013-05-30 553948
553956 Mířkov Quick edit Valid 2013-05-30 553956
553964 Častohostice Quick edit Valid 2013-05-30 553964
553972 Rybníček Quick edit Valid 2013-05-30 553972
553981 Mrákov Quick edit Valid 2013-05-30 553981
553999 Mutěnín Quick edit Valid 2013-05-30 553999
554006 Nemanice Quick edit Valid 2013-05-30 554006
554014 Návsí Quick edit Valid 2013-05-30 554014
554022 Neuměř Quick edit Valid 2013-05-30 554022
554031 Nevolice Quick edit Valid 2013-05-30 554031
554049 Olbramice Quick edit Valid 2013-05-30 554049
554057 Nový Kramolín Quick edit Valid 2013-05-30 554057
554065 Jakubčovice nad Odrou Quick edit Valid 2013-05-30 554065
554073 Osvračín Quick edit Valid 2013-05-30 554073
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?