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Eionet
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
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 2,561 to 2,580.First125126127128129130131132Last
Id Label Status Status Modified Notation
MK006 Poloski Quick edit Valid 2013-09-25 MK006
MK007 Severoistocen Quick edit Valid 2013-09-25 MK007
MK008 Skopski Quick edit Valid 2013-09-25 MK008
MKX Not regionalised/Unknown level 1 Quick edit Valid 2013-09-25 MKX
MKXX Not regionalised/Unknown level 2 Quick edit Valid 2013-09-25 MKXX
MKXXX Not regionalised/Unknown level 3 Quick edit Valid 2013-09-25 MKXXX
MKZ Extra-Regio level 1 Quick edit Valid 2013-09-25 MKZ
MKZZ Extra-Regio level 2 Quick edit Valid 2013-09-25 MKZZ
MKZZZ Extra-Regio level 3 Quick edit Valid 2013-09-25 MKZZZ
MK_CAP Skopje Quick edit Valid 2013-09-25 MK_CAP
ML Mali Quick edit Valid 2013-09-25 ML
ML_CAP Bamako Quick edit Valid 2013-09-25 ML_CAP
MM Myanmar/Burma Quick edit Valid 2013-09-25 MM
MM_DEL Yangon Quick edit Valid 2013-09-25 MM_DEL
MN Mongolia Quick edit Valid 2013-09-25 MN
MN_CAP Ulaanbaatar Quick edit Valid 2019-01-09 MN_CAP
MO Macao Quick edit Valid 2013-09-25 MO
MP Northern Mariana Islands (US) Quick edit Valid 2013-09-25 MP
MR Mauritania Quick edit Valid 2013-09-25 MR
MR_CAP Nouakchott Quick edit Valid 2013-09-25 MR_CAP
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?