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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

6,250 concepts found, displaying 1,781 to 1,800.First8687888990919293Last
Id Label Status Status Modified Notation
546488 Sirá Quick edit Valid 2013-05-30 546488
546496 Ludvíkovice Quick edit Valid 2013-05-30 546496
546500 Jarošov nad Nežárkou Quick edit Valid 2013-05-30 546500
546518 Loučná pod Klínovcem Quick edit Valid 2013-05-30 546518
546526 Těškov Quick edit Valid 2013-05-30 546526
546534 Týček Quick edit Valid 2013-05-30 546534
546542 Kardašova Řečice Quick edit Valid 2013-05-30 546542
546551 Újezd u Svatého Kříže Quick edit Valid 2013-05-30 546551
546577 Pulečný Quick edit Valid 2013-05-30 546577
546585 Jiřetín pod Bukovou Quick edit Valid 2013-05-30 546585
546593 Nová Ves Quick edit Valid 2013-05-30 546593
546607 Dětřichov Quick edit Valid 2013-05-30 546607
546615 Kunžak Quick edit Valid 2013-05-30 546615
546623 Lásenice Quick edit Valid 2013-05-30 546623
546631 Bílý Potok Quick edit Valid 2013-05-30 546631
546658 Janův Důl Quick edit Valid 2013-05-30 546658
546666 Lodhéřov Quick edit Valid 2013-05-30 546666
546674 Lomnice nad Lužnicí Quick edit Valid 2013-05-30 546674
546691 Lkáň Quick edit Valid 2013-05-30 546691
546712 Majdalena Quick edit Valid 2013-05-30 546712
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?