Guidelines for researchers sharing large data sets

Drummond, Molly, de Quincey, Ed and Poole, Elizabeth (2023) Guidelines for researchers sharing large data sets.
This guide aims to summarise existing practice for researchers sharing and accessing large datasets, particularly for social media data containing sensitive information. It draws from multidisciplinary approaches to open research as many of these have been developed from existing research sharing and archival practices, as well as the work and considerations of other disciplines working with sensitive data. This guide is intended as a buildable summary of current best practice, containing additional considerations for researchers navigating new and developing legal and institutional frameworks contributing to the formation of research practice (for more detailed guidance please see resources list).
Research / Data Type: Guidelines
Creators:
Creators
Email
ORCID
Drummond, Molly
m.drummond@keele.ac.uk
UNSPECIFIED
de Quincey, Ed
e.de.quincey@keele.ac.uk
Poole, Elizabeth
e.a.poole@keele.ac.uk
Divisions: Faculty of Natural Sciences > School of Computing and Maths
Collection period:
From
To
2023
2023
Date: 1 Feb 2023
Keywords: data sets: research data management; data guidelines
Is the data in its original format?: Yes
Status: Published
Publisher: Keele University
Copyright holders: https://creativecommons.org/licenses/by-nc-nd/4.0/
Contact email address: research.openaccess@keele.ac.uk
DOI: 10.21252/4c2m-7m19
Depositing User: Sophie Bishop
Date Deposited: 14 Dec 2023 11:26
Revision: 15
Last Modified: 15 Dec 2023 16:13

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File:Guidelines for researchers sharing large data sets..pdf
Content type:Full Archive
Metadata Revision:2
Mime-Type:application/pdf
Language:English
License:Creative Commons: Attribution-No Derivative Works 4.0
File size:223kB