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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

11,204 concepts found, displaying 801 to 820.First3738394041424344Last
Id Label Status Status Modified Notation
01059106 Dollerup Quick edit Valid 2009-01-01 01059106
01059107 Eggebek Quick edit Valid 2009-01-01 01059107
01059109 Esgrus Quick edit Valid 2009-01-01 01059109
01059112 Gelting Quick edit Valid 2009-01-01 01059112
01059113 Glücksburg (Ostsee), Stadt Quick edit Valid 2009-01-01 01059113
01059115 Großenwiehe Quick edit Valid 2009-01-01 01059115
01059116 Großsolt Quick edit Valid 2009-01-01 01059116
01059118 Grundhof Quick edit Valid 2009-01-01 01059118
01059120 Harrislee Quick edit Valid 2009-01-01 01059120
01059121 Hasselberg Quick edit Valid 2009-01-01 01059121
01059123 Hörup Quick edit Valid 2009-01-01 01059123
01059124 Holt Quick edit Valid 2009-01-01 01059124
01059126 Hürup Quick edit Valid 2009-01-01 01059126
01059127 Husby Quick edit Valid 2009-01-01 01059127
01059128 Janneby Quick edit Valid 2009-01-01 01059128
01059129 Jardelund Quick edit Valid 2009-01-01 01059129
01059131 Jerrishoe Quick edit Valid 2009-01-01 01059131
01059132 Jörl Quick edit Valid 2009-01-01 01059132
01059136 Kronsgaard Quick edit Valid 2009-01-01 01059136
01059137 Langballig Quick edit Valid 2009-01-01 01059137
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?