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How to Share Series...Big Data, Max Champneys 2024-03-20.mp4 (178.85 MB)
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how2share.py (5 kB)
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How to Share Series...Big Data

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posted on 2024-03-26, 11:18 authored by Max ChampneysMax Champneys, Richard CampbellRichard Campbell

The recording and slides form the 'How to Share...Big Data' seminar, part of the How to Share series. This series looks at how best to share different research data types to help you make your research outputs more FAIR and open. Recorded on 2024-03-20.

Informed by success stories across the University, researchers will help share their knowledge and experience of the tasks and processes required to get your outputs in the best shape possible for sharing.

In this session Max Champneys from the Department of Mechanical Engineering talks about the background and lessons learnt from depositing currently the largest single deposit in the University’s institutional repository, ORDA.

The dataset consists of three large-scale ground vibration test campaigns on a Hawk aircraft (as flown by the Red Arrows), representing many hours of high frequency data-collection. For this data, an API package was also created to allow users to access only the data that they require.

Includes Python script for worked example that is used in the presentation.


History

Ethics

  • There is no personal data or any that requires ethical approval

Policy

  • The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

  • The uploaded data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • Headings and units are explained in the files