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Data Dictionary
Edit vocabulary

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 2,641 to 2,660.First129130131132133134135136Last
Id Label Status Status Modified Notation
NIC_S1 Core Newly Industrializing Countries Quick edit Valid 2013-09-25 NIC_S1
NIC_S2A Asian NICs of the second wave of industrialization Quick edit Valid 2013-09-25 NIC_S2A
NIC_S2LA Latin American NICs of the second wave of industrialization Quick edit Valid 2013-09-25 NIC_S2LA
NI_CAP Managua Quick edit Valid 2013-09-25 NI_CAP
NL Netherlands Quick edit Valid 2013-09-25 NL
NL1 Noord-Nederland Quick edit Valid 2013-09-25 NL1
NL11 Groningen Quick edit Valid 2013-09-25 NL11
NL111 Oost-Groningen Quick edit Valid 2013-09-25 NL111
NL112 Delfzijl en omgeving Quick edit Valid 2013-09-25 NL112
NL113 Overig Groningen Quick edit Valid 2013-09-25 NL113
NL12 Friesland (NL) Quick edit Valid 2013-09-25 NL12
NL121 Noord-Friesland (NUTS 2013) Quick edit Valid 2013-09-25 NL121
NL122 Zuidwest-Friesland (NUTS 2013) Quick edit Valid 2013-09-25 NL122
NL123 Zuidoost-Friesland (NUTS 2013) Quick edit Valid 2013-09-25 NL123
NL124 Noord-Friesland Quick edit Valid 2018-02-07 NL124
NL125 Zuidwest-Friesland Quick edit Valid 2018-02-07 NL125
NL126 Zuidoost-Friesland Quick edit Valid 2018-02-07 NL126
NL13 Drenthe Quick edit Valid 2013-09-25 NL13
NL131 Noord-Drenthe Quick edit Valid 2013-09-25 NL131
NL132 Zuidoost-Drenthe Quick edit Valid 2013-09-25 NL132
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?