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 1,701 to 1,720.First8283848586878889Last
Id Label Status Status Modified Notation
430603105 Okonek Quick edit Valid 2013-05-30 430603105
430603106 Tarnówka Quick edit Valid 2013-05-30 430603106
430603107 Zakrzewo Quick edit Valid 2013-05-30 430603107
430603108 Złotów Quick edit Valid 2013-05-30 430603108
430611601 Oborniki Quick edit Valid 2013-05-30 430611601
430611602 Rogoźno Quick edit Valid 2013-05-30 430611602
430611603 Ryczywół Quick edit Valid 2013-05-30 430611603
430612101 Luboń Quick edit Valid 2013-05-30 430612101
430612102 Puszczykowo Quick edit Valid 2013-05-30 430612102
430612103 Buk Quick edit Valid 2013-05-30 430612103
430612104 Czerwonak Quick edit Valid 2013-05-30 430612104
430612105 Dopiewo Quick edit Valid 2013-05-30 430612105
430612106 Kleszczewo Quick edit Valid 2013-05-30 430612106
430612107 Komorniki Quick edit Valid 2013-05-30 430612107
430612108 Kostrzyn Quick edit Valid 2013-05-30 430612108
430612109 Kórnik Quick edit Valid 2013-05-30 430612109
430612110 Mosina Quick edit Valid 2013-05-30 430612110
430612111 Murowana Goślina Quick edit Valid 2013-05-30 430612111
430612112 Pobiedziska Quick edit Valid 2013-05-30 430612112
430612113 Rokietnica Quick edit Valid 2013-05-30 430612113
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?