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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
skos:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

5,302 concepts found, displaying 4,801 to 4,820.First237238239240241242243244Last
Id Label Status Status Modified Notation
73523 Tuchenitsa Quick edit Valid 2013-05-30 73523
73537 Tushovitsa Quick edit Valid 2013-05-30 73537
73540 Tazha Quick edit Valid 2013-05-30 73540
73554 Takach Quick edit Valid 2013-05-30 73554
73568 Tanki rat Quick edit Valid 2013-05-30 73568
73571 Tankovo Quick edit Valid 2013-05-30 73571
73585 Tankovo Quick edit Valid 2013-05-30 73585
73599 Tankoto Quick edit Valid 2013-05-30 73599
73609 Tapchileshtovo Quick edit Valid 2013-05-30 73609
73612 Targovishte Quick edit Valid 2013-05-30 73612
73626 Targovishte Quick edit Valid 2013-05-30 73626
73634 Tarkasheni Quick edit Valid 2013-05-30 73634
73643 Tarnava Quick edit Valid 2013-05-30 73643
73657 Tarnava Quick edit Valid 2013-05-30 73657
73660 Tarnak Quick edit Valid 2013-05-30 73660
73674 Tarnene Quick edit Valid 2013-05-30 73674
73688 Tarnicheni Quick edit Valid 2013-05-30 73688
73691 Tarnovlag Quick edit Valid 2013-05-30 73691
73701 Tarnovtsa Quick edit Valid 2013-05-30 73701
73715 Tarnovtsi Quick edit Valid 2013-05-30 73715
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?