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Get the free D2.2 Data Catalogue of Suitable and Available (local) Data Sources/data Sets

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This document explains the findings from Task 2.2 with the aim to create a data catalogue of suitable and available (local) open data sources and/or data sets in general using open data from German cities – in particular, the city of Leipzig. The aim is to utilize these data sets in an Artificial Intelligence based simulation model to ascertain the most optimal placement of micro-hubs and cargo bike pick-up stations.
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01
Open the D22 data catalogue template.
02
Fill in the title of the dataset in the designated field.
03
Provide a brief description of the dataset, including its purpose and scope.
04
Specify the data owner and any relevant contributors.
05
Indicate the data format and storage location.
06
Include any relevant keywords or tags to facilitate searchability.
07
Fill out the data access details, including any restrictions or guidelines.
08
Add the date of creation and any updates made to the dataset.
09
Review the filled information for accuracy and completeness.
10
Save and submit the catalogue entry according to your organization's protocol.

Who needs d22 data catalogue of?

01
Data analysts and researchers who require access to datasets for analysis.
02
Organizations needing to comply with data management regulations.
03
Businesses looking to enhance data sharing and collaboration.
04
Project managers who require documented datasets for project development.
05
Data stewards ensuring proper data governance.
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The d22 data catalogue is a comprehensive inventory of data assets held by an organization, documenting the sources, formats, and uses of data.
Organizations and entities that collect, process, or maintain data are required to file the d22 data catalogue.
To fill out the d22 data catalogue, users must provide details about each data asset, including its name, type, location, usage, and associated metadata.
The purpose of the d22 data catalogue is to promote transparency, improve data management practices, and ensure compliance with data governance regulations.
The information that must be reported includes data asset name, description, format, ownership, source, access controls, and any relevant compliance information.
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