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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:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:prefLabel 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

5,302 concepts found, displaying 41 to 60.First12345678Last
Id Label Status Status Modified Notation
00429 Altsek Quick edit Valid 2013-05-30 00429
00432 Angelariy Quick edit Valid 2013-05-30 00432
00446 Angel voyvoda Quick edit Valid 2013-05-30 00446
00456 Angelov Quick edit Valid 2013-05-30 00456
00480 Anevo Quick edit Valid 2013-05-30 00480
00494 Antimovo Quick edit Valid 2013-05-30 00494
00504 Anton Quick edit Valid 2013-05-30 00504
00518 Antonovo Quick edit Valid 2013-05-30 00518
00521 Aplatsi Quick edit Valid 2013-05-30 00521
00549 Aprilovo Quick edit Valid 2013-05-30 00549
00552 Aprilovo Quick edit Valid 2013-05-30 00552
00566 Aprilovo Quick edit Valid 2013-05-30 00566
00571 Apriltsi Quick edit Valid 2013-05-30 00571
00583 Arbanasi Quick edit Valid 2013-05-30 00583
00597 Arda Quick edit Valid 2013-05-30 00597
00607 Ardino Quick edit Valid 2013-05-30 00607
00610 Arzan Quick edit Valid 2013-05-30 00610
00624 Arkovna Quick edit Valid 2013-05-30 00624
00638 Armenite Quick edit Valid 2013-05-30 00638
00641 Armyankovtsi Quick edit Valid 2013-05-30 00641
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?