Work

Taking Metadata Uplift from Research to Prototype

Year: 2025

Type: article

Abstract: The presentation will demonstrate a prototype of a pipeline which is able to take a PDF questionnaire, generate DDI-Lifecycle and utilise that for classification to a vocabulary which can then be leveraged to narrow down and identify variables that are deemed sensitive for further analysis and processing to support curation to a suitable access environment.This pipeline is built on an AWS architecture - successive AWS Lambda functions are orchestrated using an AWS StepFunctions workflow.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18182232

Authors: Lungley, Deirdre, Joy, Jacob

Institution: UK Data Service

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7119474816

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