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Interactive research data visualisation by drag-and-drop

Interactive research data visualisation by drag-and-drop
Interactive research data visualisation by drag-and-drop
Many researchers now choose to make their datasets openly available and may also release corresponding software tools to implement their techniques. However, enabling others to easily visualise and understand the data is often challenging. We demonstrate a web-based results visualiser where a user can drag-and-drop raw data files (either experimental data, or the output from a software tool) into an online webpage, which proceeds to analyse the data and automatically generate interactive graphs and tables. With this approach, anyone can visualise the data from any web-enabled device with a modern web browser; it supports every operating system, and does not require software to be installed. We discuss the tools and techniques used to create such interactive visualisations, how they aid in the understanding of data, and the further potential. While our demonstration is custom-built for a specific purpose, we propose a framework to enable anyone to create a visualiser for their data.
Walker, Matthew
77e58c74-1541-4ffc-9219-4c8c11248a2e
Walker, Matthew
77e58c74-1541-4ffc-9219-4c8c11248a2e

Walker, Matthew (2018) Interactive research data visualisation by drag-and-drop. Research Software Engineers Conference, Birmingham, United Kingdom. 03 Sep 2018 - 04 Sep 2021 . (In Press)

Record type: Conference or Workshop Item (Other)

Abstract

Many researchers now choose to make their datasets openly available and may also release corresponding software tools to implement their techniques. However, enabling others to easily visualise and understand the data is often challenging. We demonstrate a web-based results visualiser where a user can drag-and-drop raw data files (either experimental data, or the output from a software tool) into an online webpage, which proceeds to analyse the data and automatically generate interactive graphs and tables. With this approach, anyone can visualise the data from any web-enabled device with a modern web browser; it supports every operating system, and does not require software to be installed. We discuss the tools and techniques used to create such interactive visualisations, how they aid in the understanding of data, and the further potential. While our demonstration is custom-built for a specific purpose, we propose a framework to enable anyone to create a visualiser for their data.

Full text not available from this repository.

More information

Accepted/In Press date: June 2018
Venue - Dates: Research Software Engineers Conference, Birmingham, United Kingdom, 2018-09-03 - 2021-09-04

Identifiers

Local EPrints ID: 421994
URI: https://eprints.soton.ac.uk/id/eprint/421994
PURE UUID: 785533ce-2a22-4b4a-bbfc-9faab6599335
ORCID for Matthew Walker: ORCID iD orcid.org/0000-0001-6368-3644

Catalogue record

Date deposited: 12 Jul 2018 16:30
Last modified: 20 Sep 2018 00:27

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