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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 5,221 to 5,240.First258259260261262263264265Last
Id Label Status Status Modified Notation
84036 Shtit Quick edit Valid 2013-05-30 84036
84049 Shtraklevo Quick edit Valid 2013-05-30 84049
84067 Shtarkovo Quick edit Valid 2013-05-30 84067
85010 Aglen Quick edit Valid 2013-05-30 85010
86012 Yugovo Quick edit Valid 2013-05-30 86012
86026 Yudelnik Quick edit Valid 2013-05-30 86026
86030 Varhari Quick edit Valid 2013-05-30 86030
86043 Yulievo Quick edit Valid 2013-05-30 86043
86057 Yunak Quick edit Valid 2013-05-30 86057
86060 Yunatsi Quick edit Valid 2013-05-30 86060
86074 Yunatsite Quick edit Valid 2013-05-30 86074
86088 Yunets Quick edit Valid 2013-05-30 86088
86091 Yuper Quick edit Valid 2013-05-30 86091
86101 Yurukovo Quick edit Valid 2013-05-30 86101
86115 Yundola Quick edit Valid 2013-05-30 86115
87014 Yablanitsa Quick edit Valid 2013-05-30 87014
87028 Yablanitsa Quick edit Valid 2013-05-30 87028
87031 Yablanovo Quick edit Valid 2013-05-30 87031
87059 Yabalkovets Quick edit Valid 2013-05-30 87059
87062 Yabalkovo Quick edit Valid 2013-05-30 87062
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?