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
coreCityOf Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Oct 2013
hasDistrict Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Oct 2013
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 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:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:narrower Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Sep 2015

Add new data elements

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

Vocabulary concepts

13,394 concepts found, displaying 10,341 to 10,360.First514515516517518519520521Last
Id Label Status Status Modified Notation
RO001D02011 RO001D02011 Quick edit Valid 2013-06-11 RO001D02011
RO001D02012 RO001D02012 Quick edit Valid 2013-06-11 RO001D02012
RO001D02013 RO001D02013 Quick edit Valid 2013-06-11 RO001D02013
RO001D02014 RO001D02014 Quick edit Valid 2013-06-11 RO001D02014
RO001D02015 RO001D02015 Quick edit Valid 2013-06-11 RO001D02015
RO001D02016 RO001D02016 Quick edit Valid 2013-06-11 RO001D02016
RO001D02017 RO001D02017 Quick edit Valid 2013-06-11 RO001D02017
RO001D02018 RO001D02018 Quick edit Valid 2013-06-11 RO001D02018
RO001D02019 RO001D02019 Quick edit Valid 2013-06-11 RO001D02019
RO001D02020 RO001D02020 Quick edit Valid 2013-06-11 RO001D02020
RO001D02021 RO001D02021 Quick edit Valid 2013-06-11 RO001D02021
RO001D02022 RO001D02022 Quick edit Valid 2013-06-11 RO001D02022
RO001D02023 RO001D02023 Quick edit Valid 2013-06-11 RO001D02023
RO001D02024 RO001D02024 Quick edit Valid 2013-06-11 RO001D02024
RO001D02025 RO001D02025 Quick edit Valid 2013-06-11 RO001D02025
RO001D02026 RO001D02026 Quick edit Valid 2013-06-11 RO001D02026
RO001D02027 RO001D02027 Quick edit Valid 2013-06-11 RO001D02027
RO001D02028 RO001D02028 Quick edit Valid 2013-06-11 RO001D02028
RO001D02029 RO001D02029 Quick edit Valid 2013-06-11 RO001D02029
RO001D02030 RO001D02030 Quick edit Valid 2013-06-11 RO001D02030
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?