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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 3,661 to 3,680.First180181182183184185186187Last
Id Label Status Status Modified Notation
569496 Podolí Quick edit Valid 2013-05-30 569496
569500 Horní Lhota Quick edit Valid 2013-05-30 569500
569518 Sobíňov Quick edit Valid 2013-05-30 569518
569526 Milotice nad Opavou Quick edit Valid 2013-05-30 569526
569534 Stříbrné Hory Quick edit Valid 2013-05-30 569534
569542 Horní Újezd Quick edit Valid 2013-05-30 569542
569551 Nové Heřminovy Quick edit Valid 2013-05-30 569551
569569 Světlá nad Sázavou Quick edit Valid 2013-05-30 569569
569577 Oborná Quick edit Valid 2013-05-30 569577
569585 Šlapanov Quick edit Valid 2013-05-30 569585
569593 Štoky Quick edit Valid 2013-05-30 569593
569607 Býkov-Láryšov Quick edit Valid 2013-05-30 569607
569615 Tis Quick edit Valid 2013-05-30 569615
569623 Trpišovice Quick edit Valid 2013-05-30 569623
569631 Sviadnov Quick edit Valid 2013-05-30 569631
569640 Uhelná Příbram Quick edit Valid 2013-05-30 569640
569658 Úsobí Quick edit Valid 2013-05-30 569658
569666 Hladké Životice Quick edit Valid 2013-05-30 569666
569674 Vepříkov Quick edit Valid 2013-05-30 569674
569682 Veselý Žďár Quick edit Valid 2013-05-30 569682
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?