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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 5,041 to 5,060.First249250251252253254255256Last
Id Label Status Status Modified Notation
80501 Cherven bryag Quick edit Valid 2013-05-30 80501
80515 Chervenkovtsi Quick edit Valid 2013-05-30 80515
80529 Cherventsi Quick edit Valid 2013-05-30 80529
80532 Cherganovo Quick edit Valid 2013-05-30 80532
80546 Cherencha Quick edit Valid 2013-05-30 80546
80552 Cherepovo Quick edit Valid 2013-05-30 80552
80563 Cheresha Quick edit Valid 2013-05-30 80563
80594 Chereshitsa Quick edit Valid 2013-05-30 80594
80604 Chereshkite Quick edit Valid 2013-05-30 80604
80618 Chereshnitsa Quick edit Valid 2013-05-30 80618
80635 Chereshovitsa Quick edit Valid 2013-05-30 80635
80649 Chereshovo Quick edit Valid 2013-05-30 80649
80652 Chereshovo Quick edit Valid 2013-05-30 80652
80666 Chereshovo Quick edit Valid 2013-05-30 80666
80678 Chereshovska reka Quick edit Valid 2013-05-30 80678
80683 Cherkaski Quick edit Valid 2013-05-30 80683
80697 Cherkovitsa Quick edit Valid 2013-05-30 80697
80707 Cherkovishte Quick edit Valid 2013-05-30 80707
80710 Cherkovna Quick edit Valid 2013-05-30 80710
80724 Cherkovna Quick edit Valid 2013-05-30 80724
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?