Data Dictionary - Edit vocabulary

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Eionet

Data Dictionary

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Eionet

Data Dictionary

Edit vocabulary

Folder		Existing folder New folder Identifier: Label:
Identifier
Label
Base URI
Registration status
Type		Common
Numeric concept identifiers
Notations equal identifiers
Definition
Version
Source
License

Bound elements for concepts

Element	Type	Status
coreCityOf	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{20 Oct 2013}
hasDistrict	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{20 Oct 2013}
inCountry	Vocabulary	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{29 Aug 2014}
owl:sameAs	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{30 Sep 2013}
skos:broader	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{30 Sep 2013}
skos:closeMatch	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{30 Sep 2013}
skos:exactMatch	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{30 Sep 2013}
skos:narrower	Quantitative	Released Step 1 Step 2 Step 3 Step 4 Step 5 ^{17 Sep 2015}

Add new data elements

Data element

Identifier
Label
Definition
Notation		(forcefully equal to identifier in this vocabulary)

Vocabulary concepts

13,394 concepts found, displaying 2,281 to 2,300.First Prev 111 112 113 114115116 117 118 Next Last

Id	Label	Status	Status Modified	Notation
DE125C	Jena	Valid	2022-10-18	DE125C
DE125F	Jena	Valid	2022-10-18	DE125F
DE126C	Düren, Stadt	Valid	2022-10-18	DE126C
DE126F	Düren, Stadt	Valid	2022-10-18	DE126F
DE127C	Bocholt, Stadt	Valid	2022-10-18	DE127C
DE127F	Bocholt, Stadt	Valid	2022-10-18	DE127F
DE128F	Ruhrgebiet	Valid	2022-10-18	DE128F
DE129F	Braunschweig-Salzgitter-Wolfsburg	Valid	2022-10-18	DE129F
DE130F	Mannheim-Ludwigshafen	Valid	2022-10-18	DE130F
DE501C1	Duisburg	Valid	2013-06-11	DE501C1
DE502C1	Mannheim	Valid	2013-06-11	DE502C1
DE503C1	Gelsenkirchen	Valid	2013-06-11	DE503C1
DE504C1	Münster	Valid	2013-06-11	DE504C1
DE504L1	Münster	Valid	2013-06-11	DE504L1
DE505C1	Chemnitz	Valid	2013-06-11	DE505C1
DE505L0	Chemnitz	Valid	2013-06-11	DE505L0
DE506C1	Braunschweig	Valid	2013-06-11	DE506C1
DE507C1	Aachen	Valid	2013-06-11	DE507C1
DE507L1	Aachen	Valid	2013-06-11	DE507L1
DE508C1	Krefeld	Valid	2013-06-11	DE508C1

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

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

Purge Vocabulary Data

Purge Bound Elements

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Status
Filtering text

Columns	Notation Status Status Modified Accepted Date Not Accepted Date coreCityOf hasDistrict inCountry owl:sameAs skos:broader skos:closeMatch skos:exactMatch skos:narrower
Show definition	Yes
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