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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 5,401 to 5,420.First267268269270271272273274Last
Id Label Status Status Modified Notation
589811 Ochoz Quick edit Valid 2013-05-30 589811
589829 Olšany u Prostějova Quick edit Valid 2013-05-30 589829
589837 Ondratice Quick edit Valid 2013-05-30 589837
589845 Otaslavice Quick edit Valid 2013-05-30 589845
589853 Otinoves Quick edit Valid 2013-05-30 589853
589870 Pěnčín Quick edit Valid 2013-05-30 589870
589888 Pivín Quick edit Valid 2013-05-30 589888
589896 Plumlov Quick edit Valid 2013-05-30 589896
589918 Prostějovičky Quick edit Valid 2013-05-30 589918
589926 Protivanov Quick edit Valid 2013-05-30 589926
589934 Přemyslovice Quick edit Valid 2013-05-30 589934
589942 Ptení Quick edit Valid 2013-05-30 589942
589951 Raková u Konice Quick edit Valid 2013-05-30 589951
589969 Rakůvka Quick edit Valid 2013-05-30 589969
589977 Rozstání Quick edit Valid 2013-05-30 589977
589993 Skalka Quick edit Valid 2013-05-30 589993
590002 Skřípov Quick edit Valid 2013-05-30 590002
590011 Slatinky Quick edit Valid 2013-05-30 590011
590029 Smržice Quick edit Valid 2013-05-30 590029
590045 Srbce Quick edit Valid 2013-05-30 590045
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?