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We provide tips for data submitters and users, including specific recommendations to improve metadata quality by more use of controlled vocabulary and by metadata reviews.
Identifier of metadata, quality attributes, and filtering policy are transmitted to NetworkService (in a HTTP POST), which is executed in the Back-end node (Fig. 8).
However, despite the advantages regarding high metadata quality on a corporate level, a collaborative metadata management approach of this kind has to ensure low effort for knowledge contributors as in most cases these regional or divisional experts do not benefit from metadata quality themselves.
In the following technology selections for implementation are evaluated in terms of the data quality management architecture: Cassandra was used for storing of metadata, quality rules, and data (see Additional file 1).
This consists of two main steps: (1) Metadata quality control; and (2) Measurement bias detection.
The metadata quality must be a major challenge to this synchronization framework using ORCID.
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Metadata and quality attributes are read from metadata/quality rules store based on input received from the Front-end node.
Particularly, the XML file contained weighted parameters of tweet metadata for quality evaluation.
The file contains modelling of metadata store, quality rules, and data store for Cassandra.
A new architectural layer (Fig. 1) has been introduced to the RA [11], which covers management of metadata including quality aspects of social media data.
We have also developed a collection of open source Java and Perl software for processing the data and obtaining a rich set of metadata and quality metrics (Supplementary Data; Analysis Pipeline).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com