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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
dct:isReplacedBy Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
08 Oct 2013
dct:replaces Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
08 Oct 2013
skos:exactMatch 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

2,939 concepts found, displaying 81 to 100.First12345678Last
Id Label Status Status Modified Notation
1082 Graphoderus bilineatus Quick edit Valid 2013-08-06 1082
1083 Lucanus cervus Quick edit Valid 2013-08-06 1083
1084 Osmoderma eremita Quick edit Valid 2013-08-06 1084
1085 Buprestis splendens Quick edit Valid 2013-08-06 1085
1086 Cucujus cinnaberinus Quick edit Valid 2013-08-06 1086
1087 Rosalia alpina Quick edit Valid 2013-08-06 1087
1088 Cerambyx cerdo Quick edit Valid 2013-08-06 1088
1089 Morimus funereus Quick edit Valid 2013-08-06 1089
1090 Scyllarides latus Quick edit Valid 2013-08-06 1090
1091 Astacus astacus Quick edit Valid 2013-08-06 1091
1092 Austropotamobius pallipes Quick edit Valid 2013-08-06 1092
1093 Austropotamobius torrentium Quick edit Valid 2013-08-06 1093
1094 Macrothele calpeiana Quick edit Valid 2013-08-06 1094
1095 Petromyzon marinus Quick edit Valid 2013-08-06 1095
1096 Lampetra planeri Quick edit Valid 2013-08-06 1096
1097 Lethenteron zanandreai Quick edit Deprecated - superseded 2013-08-06 1097
1098 Eudontomyzon spp. Quick edit Valid 2013-08-06 1098
1099 Lampetra fluviatilis Quick edit Valid 2013-08-06 1099
1100 Acipenser naccarii Quick edit Valid 2013-08-06 1100
1101 Acipenser sturio Quick edit Valid 2013-08-06 1101
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?