A data management plan for the NESHIE observational study

With regard to the use and transfer of research participants’ personal information, samples and other data nationally and internationally, it is necessary to construct a data management plan. One of the key objectives of a data management plan is to explain the governance of clinical, biochemical, l...

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Main Authors: Adéle Strydom, Jeanne Van Rensburg, Michael S. Pepper
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2023.1273975/full
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author Adéle Strydom
Jeanne Van Rensburg
Michael S. Pepper
author_facet Adéle Strydom
Jeanne Van Rensburg
Michael S. Pepper
author_sort Adéle Strydom
collection DOAJ
description With regard to the use and transfer of research participants’ personal information, samples and other data nationally and internationally, it is necessary to construct a data management plan. One of the key objectives of a data management plan is to explain the governance of clinical, biochemical, laboratory, molecular and other sources of data according to the regulations and policies of all relevant stakeholders. It also seeks to describe the processes involved in protecting the personal information of research participants, especially those from vulnerable populations. In most data management plans, the framework therefore consists of describing the collection, organization, use, storage, contextualization, preservation, sharing and access of/to research data and/or samples. It may also include a description of data management resources, including those associated with analyzed samples, and identifies responsible parties for the establishment, implementation and overall management of the data management strategy. Importantly, the data management plan serves to highlight potential problems with the collection, sharing, and preservation of research data. However, there are different forms of data management plans and requirements may vary due to funder guidelines and the nature of the study under consideration. This paper leverages the detailed data management plans constructed for the ‘NESHIE study’ and is a first attempt at providing a comprehensive template applicable to research focused on vulnerable populations, particularly those within LMICs, that includes a multi-omics approach to achieve the study aims. More particularly, this template, available for download as a supplementary document, provides a modifiable outline for future projects that involve similar sensitivities, whether in clinical research or clinical trials. It includes a description of the management not only of the data generated through standard clinical practice, but also that which is generated through the analysis of a variety of samples being collected from research participants and analyzed using multi-omics approaches.
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spelling doaj.art-a5d1e0a1958e44f8872ecd5fcc31f8962023-12-06T08:30:02ZengFrontiers Media S.A.Frontiers in Genetics1664-80212023-12-011410.3389/fgene.2023.12739751273975A data management plan for the NESHIE observational studyAdéle StrydomJeanne Van RensburgMichael S. PepperWith regard to the use and transfer of research participants’ personal information, samples and other data nationally and internationally, it is necessary to construct a data management plan. One of the key objectives of a data management plan is to explain the governance of clinical, biochemical, laboratory, molecular and other sources of data according to the regulations and policies of all relevant stakeholders. It also seeks to describe the processes involved in protecting the personal information of research participants, especially those from vulnerable populations. In most data management plans, the framework therefore consists of describing the collection, organization, use, storage, contextualization, preservation, sharing and access of/to research data and/or samples. It may also include a description of data management resources, including those associated with analyzed samples, and identifies responsible parties for the establishment, implementation and overall management of the data management strategy. Importantly, the data management plan serves to highlight potential problems with the collection, sharing, and preservation of research data. However, there are different forms of data management plans and requirements may vary due to funder guidelines and the nature of the study under consideration. This paper leverages the detailed data management plans constructed for the ‘NESHIE study’ and is a first attempt at providing a comprehensive template applicable to research focused on vulnerable populations, particularly those within LMICs, that includes a multi-omics approach to achieve the study aims. More particularly, this template, available for download as a supplementary document, provides a modifiable outline for future projects that involve similar sensitivities, whether in clinical research or clinical trials. It includes a description of the management not only of the data generated through standard clinical practice, but also that which is generated through the analysis of a variety of samples being collected from research participants and analyzed using multi-omics approaches.https://www.frontiersin.org/articles/10.3389/fgene.2023.1273975/fullsampledatamanagementlegislationNESHIE
spellingShingle Adéle Strydom
Jeanne Van Rensburg
Michael S. Pepper
A data management plan for the NESHIE observational study
Frontiers in Genetics
sample
data
management
legislation
NESHIE
title A data management plan for the NESHIE observational study
title_full A data management plan for the NESHIE observational study
title_fullStr A data management plan for the NESHIE observational study
title_full_unstemmed A data management plan for the NESHIE observational study
title_short A data management plan for the NESHIE observational study
title_sort data management plan for the neshie observational study
topic sample
data
management
legislation
NESHIE
url https://www.frontiersin.org/articles/10.3389/fgene.2023.1273975/full
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