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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 4,201 to 4,220.First207208209210211212213214Last
Id Label Status Status Modified Notation
575381 Mokošín Quick edit Valid 2013-05-30 575381
575399 Moravany Quick edit Valid 2013-05-30 575399
575429 Opatovice nad Labem Quick edit Valid 2013-05-30 575429
575437 Ostřešany Quick edit Valid 2013-05-30 575437
575445 Ostřetín Quick edit Valid 2013-05-30 575445
575461 Poběžovice u Holic Quick edit Valid 2013-05-30 575461
575470 Poběžovice u Přelouče Quick edit Valid 2013-05-30 575470
575500 Přelouč Quick edit Valid 2013-05-30 575500
575518 Přelovice Quick edit Valid 2013-05-30 575518
575526 Přepychy Quick edit Valid 2013-05-30 575526
575534 Ráby Quick edit Valid 2013-05-30 575534
575542 Radhošť Quick edit Valid 2013-05-30 575542
575551 Rohovládova Bělá Quick edit Valid 2013-05-30 575551
575569 Rohoznice Quick edit Valid 2013-05-30 575569
575577 Rokytno Quick edit Valid 2013-05-30 575577
575593 Rybitví Quick edit Valid 2013-05-30 575593
575607 Řečany nad Labem Quick edit Valid 2013-05-30 575607
575615 Selmice Quick edit Valid 2013-05-30 575615
575623 Semín Quick edit Valid 2013-05-30 575623
575640 Sezemice Quick edit Valid 2013-05-30 575640
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?