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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

28,131 concepts found, displaying 2,361 to 2,380.First115116117118119120121122Last
Id Label Status Status Modified Notation
DE1647401 Granitz Quick edit Valid 2018-01-19 DE1647401
DE1648302 Küstenlandschaft Südostrügen Quick edit Valid 2018-01-19 DE1648302
DE1649401 Westliche Pommersche Bucht Quick edit Valid 2018-01-19 DE1649401
DE1652301 Pommersche Bucht mit Oderbank Quick edit Valid 2018-01-19 DE1652301
DE1714391 Steingrund Quick edit Valid 2018-01-19 DE1714391
DE1719391 Untereider Quick edit Valid 2018-01-19 DE1719391
DE1720301 Weißes Moor Quick edit Valid 2018-01-19 DE1720301
DE1721301 Wald bei Welmbüttel Quick edit Valid 2018-01-19 DE1721301
DE1721302 Wald bei Hollingstedt Quick edit Valid 2018-01-19 DE1721302
DE1721309 Kleiner Geestrücken südlich Dörpling Quick edit Valid 2018-01-19 DE1721309
DE1722301 Wald westlich Wrohm Quick edit Valid 2018-01-19 DE1722301
DE1723301 Gehege Osterhamm-Elsdorf Quick edit Valid 2018-01-19 DE1723301
DE1723302 Dachsberg bei Wittenmoor Quick edit Valid 2018-01-19 DE1723302
DE1724302 Wehrau und Mühlenau Quick edit Valid 2018-01-19 DE1724302
DE1724334 Dünen bei Kattbek Quick edit Valid 2018-01-19 DE1724334
DE1725304 Vollstedter See Quick edit Valid 2018-01-19 DE1725304
DE1725306 Staatsforst Langwedel-Sören Quick edit Valid 2018-01-19 DE1725306
DE1725352 Quellen am Großen Schierensee Quick edit Valid 2018-01-19 DE1725352
DE1725353 Niedermoor bei Manhagen Quick edit Valid 2018-01-19 DE1725353
DE1725392 Gebiet der Oberen Eider incl. Seen Quick edit Valid 2018-01-19 DE1725392
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?