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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 10,121 to 10,140.First503504505506507508509510Last
Id Label Status Status Modified Notation
15088205 Leuna, Stadt Quick edit Valid 2013-01-01 15088205
15088215 Löbejün, Stadt Quick edit Valid 2013-05-29 15088215
15088220 Merseburg, Stadt Quick edit Valid 2010-01-01 15088220
15088235 Mücheln (Geiseltal), Stadt Quick edit Valid 2010-01-01 15088235
15088240 Nauendorf Quick edit Valid 2013-05-29 15088240
15088250 Nemsdorf-Göhrendorf Quick edit Valid 2010-01-01 15088250
15088255 Neutz-Lettewitz Quick edit Valid 2013-05-29 15088255
15088265 Obhausen Quick edit Valid 2010-01-01 15088265
15088290 Peißen Quick edit Valid 2013-05-29 15088290
15088295 Petersberg Quick edit Valid 2010-01-01 15088295
15088300 Plötz Quick edit Valid 2013-05-29 15088300
15088305 Querfurt, Stadt Quick edit Valid 2009-01-01 15088305
15088315 Rothenburg Quick edit Valid 2013-05-29 15088315
15088319 Salzatal Quick edit Valid 2010-01-01 15088319
15088330 Schkopau Quick edit Valid 2009-01-01 15088330
15088340 Schraplau, Stadt Quick edit Valid 2010-01-01 15088340
15088355 Steigra Quick edit Valid 2010-01-01 15088355
15088365 Teutschenthal Quick edit Valid 2010-01-01 15088365
15088380 Wettin, Stadt Quick edit Valid 2013-05-29 15088380
15089005 Alsleben (Saale), Stadt Quick edit Valid 2010-01-01 15089005
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?