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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
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
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 (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

28,131 concepts found, displaying 26,241 to 26,260.First1,3091,3101,3111,3121,3131,3141,3151,316Last
Id Label Status Status Modified Notation
SI3000110 Ratitovec Quick edit Valid 2018-01-19 SI3000110
SI3000112 Velovlek Quick edit Valid 2018-01-19 SI3000112
SI3000113 Podvinci Quick edit Valid 2018-01-19 SI3000113
SI3000114 Cerovec Quick edit Valid 2018-01-19 SI3000114
SI3000117 Haloze - vinorodne Quick edit Valid 2018-01-19 SI3000117
SI3000118 Boč - Haloze - Donačka gora Quick edit Valid 2018-01-19 SI3000118
SI3000119 Porezen Quick edit Valid 2018-01-19 SI3000119
SI3000120 Šmarna gora Quick edit Valid 2018-01-19 SI3000120
SI3000121 Čemšeniška planina Quick edit Valid 2018-01-19 SI3000121
SI3000123 Divja jama nad Plavami in Zamedvejski potok Quick edit Valid 2018-01-19 SI3000123
SI3000124 Krasnica Quick edit Valid 2018-01-19 SI3000124
SI3000125 Kožbana Quick edit Valid 2018-01-19 SI3000125
SI3000126 Nanoščica Quick edit Valid 2018-01-19 SI3000126
SI3000127 Grahovo ob Bači Quick edit Valid 2018-01-19 SI3000127
SI3000128 Znojile Quick edit Valid 2018-01-19 SI3000128
SI3000129 Rinža Quick edit Valid 2018-01-19 SI3000129
SI3000130 Kozja luknja Quick edit Valid 2018-01-19 SI3000130
SI3000131 Skedenca nad Rajnturnom Quick edit Valid 2018-01-19 SI3000131
SI3000132 Peca Quick edit Valid 2018-01-19 SI3000132
SI3000133 Radovna most v Sr. Radovni - jez HE Vintgar Quick edit Valid 2018-01-19 SI3000133
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?