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All posts in Research Data Management

Open Research seminar: Cancer Research UK’s Registered Reports Funding Partnership: lessons to improve research quality, transparency and reproducibility

THURSDAY JULY 18, 2024. 12:00–13:00 BST
Attendance Link: https://lshtm.zoom.us/j/99442400497

This online seminar will introduce Registered Reports and a new pathway being piloted at Cancer Research UK (CRUK) to submit Registered Reports to journals for peer review, alongside the grant application and review process. CRUK’s unique pilot is being performed in consortium with 12 journals and the University of Bristol.

Attendees will gain an understanding of Registered Reports, the rationale for CRUK’s pilot, how the Registered Reports Funding Partnership pathway works and the process for preparing a report for publication. The seminar will share different consortium partner perspectives and requirements – from a publisher, a funder and an academic institution – and highlight insights, feedback from researchers about opting-into to the pilot, advice on putting together a report and how to avoid common pitfalls.

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Open Research seminar: Qualitative Data Presentation, Secondary Analysis and Ethics

THURSDAY JUNE 20, 2024. 12:00 - 13:00 BST

Seminar recording: The seminar recording is hosted in the Panopto video platform (LSHTM users only) and Data Compass repository.

Qualitative research can provide a rich understanding of people’s lived experience that goes beyond what is possible through quantitative approaches. However, the sharing of complex qualitative outputs in a form that maintains research context and protects participant confidentiality remains a challenge for many research studies.

In this seminar, Kahryn Hughes, Professor of Sociology at the University of Leeds, will consider the key ethical challenges for the reuse and sharing of qualitative research data. She will highlight the ethical value of qualitative data preservation and archiving, as part of a broader ethical temporal sensibility towards social research data and integrity. She explores the rise of qualitative data re-use in the context of the ‘data turn’ and explores how the qualities of qualitative data present distinctive challenges for and within the global drift towards open science and open access. With particular attention to questions of how and why ethical concerns may change over time, she explores what the implications of qualitative data re-use might be for current research practice. In so doing, she explains how social and qualitative researchers can achieve good practice by attending to questions of data integrity and legacy. She will signpost to relevant resources to support good practice in the preparation and organisation of qualitative datasets for the purposes of reuse.

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Finding LSHTM data and other reusable resources

LSHTM Data Compass is a digital repository of research items produced by LSHTM researchers – staff and students alike – that have been made available for analysis and use in further research. The repository lists almost 1,500 item, including databases & spreadsheets, interview and focus group transcripts, software tools and processing scripts, as well as questionnaire and interview guides. This includes items hosted in the repository itself and those held in third party systems.

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GDPR for Research Data Management – workshop report

This blog post provides a brief overview of a workshop organised for the London Area Research Data (LARD) group on the implications of the General Data Protection Regulation (GDPR) for research data management. The event was held at the London School of Hygiene & Tropical Medicine on November 17, 2017. It was organised by Gareth Knight (LSHTM), in conjunction with Helen Porter (SOAS) and Laurence Horton (LSE). A second write-up of the session has been produced by Laurence Horton. Read more

Gain new insight into your health research using text mining

An abundance of scholarly resources are available to the researcher, easily discoverable through use of a few search terms. However, this opulence comes at a price: there is too much literature for a researcher to find and read themselves. Text and Data Mining (TDM) offer a solution for health researchers wishing to analyse a large corpus of resources, including research papers, medical records, and other material, even when the information is held in an unstructured form. The resultant output may be used to identify hidden patterns that emerge over time and across geographic regions, predict and address gaps within the data, and convert content into a form better suited to modern research. Read more