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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 1,421 to 1,440.First6869707172737475Last
Id Label Status Status Modified Notation
CZ0324029 Těchonická draha Quick edit Valid 2018-01-19 CZ0324029
CZ0324032 V Morávkách Quick edit Valid 2018-01-19 CZ0324032
CZ0325001 Hrádecká bahna Quick edit Valid 2018-01-19 CZ0325001
CZ0325002 Hůrky Quick edit Valid 2018-01-19 CZ0325002
CZ0325003 Netřeb Quick edit Valid 2018-01-19 CZ0325003
CZ0410001 Tisovec Quick edit Valid 2018-01-19 CZ0410001
CZ0410018 Jezerský vrch Quick edit Valid 2018-01-19 CZ0410018
CZ0410020 Ramena Ohře Quick edit Valid 2018-01-19 CZ0410020
CZ0410021 Nadlesí Quick edit Valid 2018-01-19 CZ0410021
CZ0410023 Blažejský rybník Quick edit Valid 2018-01-19 CZ0410023
CZ0410038 Mechové údolí Quick edit Valid 2018-01-19 CZ0410038
CZ0410040 Pernink Quick edit Valid 2018-01-19 CZ0410040
CZ0410046 Šibeniční vrch Quick edit Valid 2018-01-19 CZ0410046
CZ0410047 Štítarský rybník Quick edit Valid 2018-01-19 CZ0410047
CZ0410150 Soos Quick edit Valid 2018-01-19 CZ0410150
CZ0410151 Vladař Quick edit Valid 2018-01-19 CZ0410151
CZ0410155 Rudné Quick edit Valid 2018-01-19 CZ0410155
CZ0410168 Vysoká Pec Quick edit Valid 2018-01-19 CZ0410168
CZ0410176 Vysoký kámen Quick edit Valid 2018-01-19 CZ0410176
CZ0410401 Krásenské rašeliniště Quick edit Valid 2018-01-19 CZ0410401
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?