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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
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
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 (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

28,510 concepts found, displaying 3,521 to 3,540.First173174175176177178179180Last
Id Label Status Status Modified Notation
DE3453301 Oderinsel Kietz Quick edit Valid 2018-01-19 DE3453301
DE3453422 Mittlere Oderniederung Quick edit Valid 2018-01-19 DE3453422
DE3507301 Hügelgräberheide Halle-Hesingen Quick edit Valid 2018-01-19 DE3507301
DE3508301 Heseper Moor, Engdener Wüste Quick edit Valid 2018-01-19 DE3508301
DE3508331 Tillenberge Quick edit Valid 2018-01-19 DE3508331
DE3509401 Engdener Wüste Quick edit Valid 2018-01-19 DE3509401
DE3511301 Koffituten Quick edit Valid 2018-01-19 DE3511301
DE3512301 Finkenfeld und Wiechholz Quick edit Valid 2018-01-19 DE3512301
DE3513331 Darnsee Quick edit Valid 2018-01-19 DE3513331
DE3513332 Gehn Quick edit Valid 2018-01-19 DE3513332
DE3513401 Alfsee Quick edit Valid 2018-01-19 DE3513401
DE3514331 Gehölze bei Epe Quick edit Valid 2018-01-19 DE3514331
DE3515331 Grenzkanal Quick edit Valid 2018-01-19 DE3515331
DE3516301 Stemweder Berg Quick edit Valid 2018-01-19 DE3516301
DE3516302 Grabensystem Tiefenriede Quick edit Valid 2018-01-19 DE3516302
DE3517301 Schnakenpohl Quick edit Valid 2018-01-19 DE3517301
DE3517302 Große Aue Quick edit Valid 2018-01-19 DE3517302
DE3517303 Kirche in Rahden mit Wochenstube des Großen Mausohr Quick edit Valid 2018-01-19 DE3517303
DE3518301 Weißes Moor Quick edit Valid 2018-01-19 DE3518301
DE3518302 Osterwald Quick edit Valid 2018-01-19 DE3518302
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?