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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

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

2,479 concepts found, displaying 661 to 680.First3031323334353637Last
Id Label Status Status Modified Notation
212241605 Radłów Quick edit Valid 2013-05-30 212241605
212241606 Ryglice Quick edit Valid 2013-05-30 212241606
212241607 Rzepiennik Strzyżewski Quick edit Valid 2013-05-30 212241607
212241608 Skrzyszów Quick edit Valid 2013-05-30 212241608
212241609 Tarnów Quick edit Valid 2013-05-30 212241609
212241610 Tuchów Quick edit Valid 2013-05-30 212241610
212241611 Wierzchosławice Quick edit Valid 2013-05-30 212241611
212241612 Wietrzychowice Quick edit Valid 2013-05-30 212241612
212241613 Wojnicz Quick edit Valid 2013-05-30 212241613
212241614 Zakliczyn Quick edit Valid 2013-05-30 212241614
212241615 Żabno Quick edit Valid 2013-05-30 212241615
212241616 Szerzyny Quick edit Valid 2013-05-30 212241616
212246301 Tarnów Quick edit Valid 2013-05-30 212246301
224440201 Szczyrk Quick edit Valid 2013-05-30 224440201
224440202 Bestwina Quick edit Valid 2013-05-30 224440202
224440203 Buczkowice Quick edit Valid 2013-05-30 224440203
224440204 Czechowice-Dziedzice Quick edit Valid 2013-05-30 224440204
224440205 Jasienica Quick edit Valid 2013-05-30 224440205
224440206 Jaworze Quick edit Valid 2013-05-30 224440206
224440207 Kozy Quick edit Valid 2013-05-30 224440207
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?