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

2,479 concepts found, displaying 201 to 220.First7891011121314Last
Id Label Status Status Modified Notation
114251310 Wiśniewo Quick edit Valid 2013-05-30 114251310
114251901 Bielsk Quick edit Valid 2013-05-30 114251901
114251902 Bodzanów Quick edit Valid 2013-05-30 114251902
114251903 Brudzeń Duży Quick edit Valid 2013-05-30 114251903
114251904 Bulkowo Quick edit Valid 2013-05-30 114251904
114251905 Drobin Quick edit Valid 2013-05-30 114251905
114251906 Gąbin Quick edit Valid 2013-05-30 114251906
114251907 Łąck Quick edit Valid 2013-05-30 114251907
114251908 Mała Wieś Quick edit Valid 2013-05-30 114251908
114251909 Nowy Duninów Quick edit Valid 2013-05-30 114251909
114251910 Radzanowo Quick edit Valid 2013-05-30 114251910
114251911 Słubice Quick edit Valid 2013-05-30 114251911
114251912 Słupno Quick edit Valid 2013-05-30 114251912
114251913 Stara Biała Quick edit Valid 2013-05-30 114251913
114251914 Staroźreby Quick edit Valid 2013-05-30 114251914
114251915 Wyszogród Quick edit Valid 2013-05-30 114251915
114252001 Płońsk Quick edit Valid 2013-05-30 114252001
114252002 Raciąż Quick edit Valid 2013-05-30 114252002
114252003 Baboszewo Quick edit Valid 2013-05-30 114252003
114252004 Czerwińsk nad Wisłą Quick edit Valid 2013-05-30 114252004
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?