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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 2,921 to 2,940.First143144145146147148149150Last
Id Label Status Status Modified Notation
561525 Horosedly Quick edit Valid 2013-05-30 561525
561533 Dubá Quick edit Valid 2013-05-30 561533
561541 Dubnice Quick edit Valid 2013-05-30 561541
561550 Kožlí Quick edit Valid 2013-05-30 561550
561568 Nové Hutě Quick edit Valid 2013-05-30 561568
561576 Budkov Quick edit Valid 2013-05-30 561576
561584 Holany Quick edit Valid 2013-05-30 561584
561592 Horní Libchava Quick edit Valid 2013-05-30 561592
561606 Horní Police Quick edit Valid 2013-05-30 561606
561614 Chlum Quick edit Valid 2013-05-30 561614
561622 Chotovice Quick edit Valid 2013-05-30 561622
561631 Jablonné v Podještědí Quick edit Valid 2013-05-30 561631
561649 Lčovice Quick edit Valid 2013-05-30 561649
561657 Janovice v Podještědí Quick edit Valid 2013-05-30 561657
561665 Jestřebí Quick edit Valid 2013-05-30 561665
561673 Křišťanov Quick edit Valid 2013-05-30 561673
561681 Kamenický Šenov Quick edit Valid 2013-05-30 561681
561690 Hájek Quick edit Valid 2013-05-30 561690
561703 Člunek Quick edit Valid 2013-05-30 561703
561711 Blažejov Quick edit Valid 2013-05-30 561711
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?