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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 3,841 to 3,860.First189190191192193194195196Last
Id Label Status Status Modified Notation
571440 Holetín Quick edit Valid 2013-05-30 571440
571458 Honbice Quick edit Valid 2013-05-30 571458
571466 Horka Quick edit Valid 2013-05-30 571466
571474 Horní Bradlo Quick edit Valid 2013-05-30 571474
571482 Hošťalovice Quick edit Valid 2013-05-30 571482
571491 Hrochův Týnec Quick edit Valid 2013-05-30 571491
571504 Hroubovice Quick edit Valid 2013-05-30 571504
571512 Kutrovice Quick edit Valid 2013-05-30 571512
571521 Neprobylice Quick edit Valid 2013-05-30 571521
571539 Chrast Quick edit Valid 2013-05-30 571539
571547 Chroustovice Quick edit Valid 2013-05-30 571547
571555 Líský Quick edit Valid 2013-05-30 571555
571563 Jenišovice Quick edit Valid 2013-05-30 571563
571571 Kameničky Quick edit Valid 2013-05-30 571571
571580 Kladno Quick edit Valid 2013-05-30 571580
571598 Zájezd Quick edit Valid 2013-05-30 571598
571601 Libovice Quick edit Valid 2013-05-30 571601
571610 Kočí Quick edit Valid 2013-05-30 571610
571628 Kostelec u Heřmanova Městce Quick edit Valid 2013-05-30 571628
571636 Němčice Quick edit Valid 2013-05-30 571636
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?