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 1,081 to 1,100.First5152535455565758Last
Id Label Status Status Modified Notation
318330709 Wojaszówka Quick edit Valid 2013-05-30 318330709
318330710 Jaśliska Quick edit Valid 2010-01-01 318330710
318331701 Sanok Quick edit Valid 2013-05-30 318331701
318331702 Besko Quick edit Valid 2013-05-30 318331702
318331703 Bukowsko Quick edit Valid 2013-05-30 318331703
318331704 Komańcza Quick edit Valid 2013-05-30 318331704
318331705 Sanok Quick edit Valid 2013-05-30 318331705
318331706 Tyrawa Wołoska Quick edit Valid 2013-05-30 318331706
318331707 Zagórz Quick edit Valid 2013-05-30 318331707
318331708 Zarszyn Quick edit Valid 2013-05-30 318331708
318332101 Baligród Quick edit Valid 2013-05-30 318332101
318332102 Cisna Quick edit Valid 2013-05-30 318332102
318332103 Lesko Quick edit Valid 2013-05-30 318332103
318332104 Olszanica Quick edit Valid 2013-05-30 318332104
318332105 Solina Quick edit Valid 2013-05-30 318332105
318336101 Krosno Quick edit Valid 2013-05-30 318336101
318340401 Jarosław Quick edit Valid 2013-05-30 318340401
318340402 Radymno Quick edit Valid 2013-05-30 318340402
318340403 Chłopice Quick edit Valid 2013-05-30 318340403
318340404 Jarosław Quick edit Valid 2013-05-30 318340404
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?