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
conceptStatus Fixed values
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
23 Jan 2014
dct:source Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
13 Jan 2014
skos:altLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013
skos:broader Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:closeMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:editorialNote Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:hiddenLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013
skos:narrower Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Sep 2015
skos:related Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:relatedMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013
skos:scopeNote Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

5,212 concepts found, displaying 5,001 to 5,020.First247248249250251252253254Last
Id Label Status Status Modified Notation
13306 pollution control measure Quick edit Valid 2013-12-05
13307 level of education Quick edit Valid 2013-12-05
13308 general education Quick edit Valid 2013-12-05
13309 schoolwork Quick edit Valid 2013-12-05
13310 school life Quick edit Valid 2013-12-05
13311 teaching material Quick edit Valid 2013-12-05
13312 documentary system Quick edit Valid 2013-12-05
13313 means of communication Quick edit Valid 2013-12-05
13314 communications system Quick edit Valid 2013-12-05
13316 data processing system Quick edit Valid 2013-12-05
13317 social analysis Quick edit Valid 2013-12-05
13318 behavioural science Quick edit Valid 2013-12-05
13319 health care profession Quick edit Valid 2013-12-05
13320 artificial reproductive technique Quick edit Valid 2013-12-05
13321 animal health Quick edit Valid 2013-12-05
13324 war victim Quick edit Valid 2013-12-05
13325 internal migration Quick edit Valid 2013-12-05
13326 geographical distribution of population Quick edit Valid 2013-12-05
13327 composition of population Quick edit Valid 2013-12-05
13329 rights of the individual Quick edit Valid 2013-12-05
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?