Cited by 1

The DOI matches its DataCite record.

Impact of COVID 19 on Doctoral and Early Career Researchers

Byrom, Nicola, Metcalfe, Janet·2021·figshare

Abstract

SMaRteN, in partnership with Vitae, conducated research into the impact of COVID-19 on the working lives of doctoral researchers and research staff. SMaRteN www.smarten.org.uk The UK Research and Innovation (UKRI) funded Student Mental Health Research Network (SMaRteN) is working to support and encourage better research into student mental health. SMaRteN is based at Institute of Psychiatry, Psychology and Neurosciences at King’s College London. Vitae is a non-profit programme supporting the professional and career development of researchers. www.vitae.ac.uk @vitae_news Covid-19 and the associated lock down has caused substantive disruption to the study and work of doctoral students and researchers in universities. The response to the pandemic has varied across universities and research funders. SMaRteN and Vitae aim to develop a national picture for how doctoral researchers and research staff have been affected by the pandemic. ​The survey includes questions relating to the impact of COVID-19 on research work, mental wellbeing, social connection. We further address the impact of COVID-19 on changes to employment outside of academia, living arrangements and caring arrangements and the consequent effect of these changes on research work. The survey considers the support provided by supervisors / line managers and by universities. Please note, Time 2 (follow up) data was collected, corresponding to this survey, in September / October 2020. This can be accessed via the link at the bottom of the page. Data available here as either an SPSS or Excel download:SPSS file contains labels Excel file contains labels and brief notes about coding Recoding data for CV19 impact - SPSS Syntax file describes steps taken to code data CV19_impact_on_researchers - word document, export from Qualtrics of the survey. Qualitative data - Benefits and Challenges of the lockdown. Respondents gave qualitative responses to a number of questions. We are slowly cleaning these up to get them fully anonymised. At the moment, we have only done this for the sample (approximately 1,000) of responses that have been analysed to look at the benefits and challenges of the lockdown. Please note, data has been removed from this data set to ensure participant anonymity. For further information, please contact Dr Nicola Byrom - nicola.byrom@kcl.ac.uk

Overview

Integrity signals

Registry

DataCite · 10.6084/m9.figshare.12361493

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cited by

Sorted by citations

Metadata

Authors
Byrom, N., & Metcalfe, J.
Venue
figshare
Publisher
figshare
Published
2021
References
0

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review