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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

2,122 concepts found, displaying 281 to 300.First1112131415161718Last
Id Label Status Status Modified Notation
7316 Gimlinge Quick edit Valid 2013-05-30 7316
7317 Hårslev Quick edit Valid 2013-05-30 7317
7318 Ting Jellinge Quick edit Valid 2013-05-30 7318
7319 Hyllested Quick edit Valid 2013-05-30 7319
7320 Venslev Quick edit Valid 2013-05-30 7320
7321 Holsteinborg Quick edit Valid 2013-05-30 7321
7322 Ørslev Quick edit Valid 2013-05-30 7322
7323 Sønder Bjerge Quick edit Valid 2013-05-30 7323
7324 Tjæreby Quick edit Valid 2013-05-30 7324
7325 Magleby Quick edit Valid 2013-05-30 7325
7326 Agersø Quick edit Valid 2013-05-30 7326
7327 Omø Quick edit Valid 2013-05-30 7327
7328 Tystrup Quick edit Valid 2013-05-30 7328
7329 Haldagerlille Quick edit Valid 2013-05-30 7329
7330 Krummerup Quick edit Valid 2013-05-30 7330
7331 Fuglebjerg Quick edit Valid 2013-05-30 7331
7332 Førslev Quick edit Valid 2013-05-30 7332
7333 Vallensved Quick edit Valid 2013-05-30 7333
7334 Marvede Quick edit Valid 2013-05-30 7334
7335 Hyllinge Quick edit Valid 2013-05-30 7335
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?