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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 2,961 to 2,980.First145146147148149150151152Last
Id Label Status Status Modified Notation
PL617 Inowroclawski Quick edit Valid 2015-01-08 PL617
PL618 Swiecki Quick edit Valid 2015-01-08 PL618
PL619 Wloclawski Quick edit Valid 2015-01-08 PL619
PL62 Warminsko-Mazurskie Quick edit Valid 2013-09-25 PL62
PL621 Elblaski Quick edit Valid 2013-09-25 PL621
PL622 Olsztynski Quick edit Valid 2013-09-25 PL622
PL623 Elcki Quick edit Valid 2013-09-25 PL623
PL63 Pomorskie Quick edit Valid 2013-09-25 PL63
PL631 Slupski (NUTS 2010) Quick edit Valid 2013-09-25 PL631
PL632 Gdanski (NUTS 2003) Quick edit Valid 2013-09-25 PL632
PL633 Trojmiejski Quick edit Valid 2013-09-25 PL633
PL634 Gdanski Quick edit Valid 2013-09-25 PL634
PL635 Starogardzki (NUTS 2010) Quick edit Valid 2013-09-25 PL635
PL636 Slupski Quick edit Valid 2015-01-08 PL636
PL637 Chojnicki Quick edit Valid 2015-01-08 PL637
PL638 Starogardzki Quick edit Valid 2015-01-08 PL638
PL7 Makroregion Centralny Quick edit Valid 2018-02-07 PL7
PL71 Lódzkie Quick edit Valid 2018-02-07 PL71
PL711 Miasto Lódz Quick edit Valid 2018-02-07 PL711
PL712 Lódzki Quick edit Valid 2018-02-07 PL712
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?