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 1,681 to 1,700.First8182838485868788Last
Id Label Status Status Modified Notation
430601901 Piła Quick edit Valid 2013-05-30 430601901
430601902 Białośliwie Quick edit Valid 2013-05-30 430601902
430601903 Kaczory Quick edit Valid 2013-05-30 430601903
430601904 Łobżenica Quick edit Valid 2013-05-30 430601904
430601905 Miasteczko Krajeńskie Quick edit Valid 2013-05-30 430601905
430601906 Szydłowo Quick edit Valid 2013-05-30 430601906
430601907 Ujście Quick edit Valid 2013-05-30 430601907
430601908 Wyrzysk Quick edit Valid 2013-05-30 430601908
430601909 Wysoka Quick edit Valid 2013-05-30 430601909
430602801 Wągrowiec Quick edit Valid 2013-05-30 430602801
430602802 Damasławek Quick edit Valid 2013-05-30 430602802
430602803 Gołańcz Quick edit Valid 2013-05-30 430602803
430602804 Mieścisko Quick edit Valid 2013-05-30 430602804
430602805 Skoki Quick edit Valid 2013-05-30 430602805
430602806 Wapno Quick edit Valid 2013-05-30 430602806
430602807 Wągrowiec Quick edit Valid 2013-05-30 430602807
430603101 Złotów Quick edit Valid 2013-05-30 430603101
430603102 Jastrowie Quick edit Valid 2013-05-30 430603102
430603103 Krajenka Quick edit Valid 2013-05-30 430603103
430603104 Lipka Quick edit Valid 2013-05-30 430603104
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?