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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 61 to 80.First12345678Last
Id Label Status Status Modified Notation
AT2105000 Vellacher Kotschna Quick edit Valid 2018-01-19 AT2105000
AT2106000 Mussen Quick edit Valid 2018-01-19 AT2106000
AT2107000 Stappitzer See und Umgebung Quick edit Valid 2018-01-19 AT2107000
AT2108000 Inneres Pöllatal Quick edit Valid 2018-01-19 AT2108000
AT2109000 Wolayersee und Umgebung Quick edit Valid 2018-01-19 AT2109000
AT2110000 Großedlinger Teich Quick edit Valid 2018-01-19 AT2110000
AT2111000 Völkermarkter Stausee Quick edit Valid 2018-01-19 AT2111000
AT2112000 Villacher Alpe (Dobratsch) Quick edit Valid 2018-01-19 AT2112000
AT2113000 Flachwasserbiotop Neudenstein Quick edit Valid 2018-01-19 AT2113000
AT2114000 Obere Drau Quick edit Valid 2018-01-19 AT2114000
AT2115000 Hochmoor bei St. Lorenzen Quick edit Valid 2018-01-19 AT2115000
AT2116000 Görtschacher Moos - Obermoos im Gailtal Quick edit Valid 2018-01-19 AT2116000
AT2117000 Turner See Quick edit Valid 2018-01-19 AT2117000
AT2118000 Gail im Lesachtal Quick edit Valid 2018-01-19 AT2118000
AT2119000 Gut Walterskirchen Quick edit Valid 2018-01-19 AT2119000
AT2120000 Schütt - Graschelitzen Quick edit Valid 2018-01-19 AT2120000
AT2121000 Höfleinmoor Quick edit Valid 2018-01-19 AT2121000
AT2122000 Ratschitschacher Moor Quick edit Valid 2018-01-19 AT2122000
AT2123000 Möserner Moor Quick edit Valid 2018-01-19 AT2123000
AT2124000 Untere Lavant Quick edit Valid 2018-01-19 AT2124000
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?