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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 2,461 to 2,480.First120121122123124125126127Last
Id Label Status Status Modified Notation
DE1923305 Quellhangmoor Lohfiert Quick edit Valid 2018-01-19 DE1923305
DE1923401 Schierenwald Quick edit Valid 2018-01-19 DE1923401
DE1924391 Wälder im Aukrug Quick edit Valid 2018-01-19 DE1924391
DE1924401 Wälder im Aukrug Quick edit Valid 2018-01-19 DE1924401
DE1926301 Bönnebütteler Gehege Quick edit Valid 2018-01-19 DE1926301
DE1927301 Kiebitzholmer Moor und Trentmoor Quick edit Valid 2018-01-19 DE1927301
DE1927352 Tarbeker Moor Quick edit Valid 2018-01-19 DE1927352
DE1928351 Wälder am Stocksee Quick edit Valid 2018-01-19 DE1928351
DE1928359 Wälder zwischen Schlamersdorf und Garbek Quick edit Valid 2018-01-19 DE1928359
DE1929320 Barkauer See Quick edit Valid 2018-01-19 DE1929320
DE1929351 Heidmoorniederung Quick edit Valid 2018-01-19 DE1929351
DE1929391 Wälder im Ahrensböker Endmoränengebiet Quick edit Valid 2018-01-19 DE1929391
DE1929401 Heidmoor-Niederung Quick edit Valid 2018-01-19 DE1929401
DE1929402 Wahlsdorfer Holz Quick edit Valid 2018-01-19 DE1929402
DE1930301 Middelburger Seen Quick edit Valid 2018-01-19 DE1930301
DE1930302 Wälder im Pönitzer Seengebiet Quick edit Valid 2018-01-19 DE1930302
DE1930330 Strandniederungen südlich Neustadt Quick edit Valid 2018-01-19 DE1930330
DE1930353 Pönitzer Seengebiet Quick edit Valid 2018-01-19 DE1930353
DE1930391 Süseler Baum und Süseler Moor Quick edit Valid 2018-01-19 DE1930391
DE1931301 Ostseeküste am Brodtener Ufer Quick edit Valid 2018-01-19 DE1931301
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?