Risk Management for Research Data about people. A general matrix to be used by data stewards and research supporters for the assessment of privacy risks with research data and determination of appropriate methods for risk management

Jessica Hrudey; Jan Lucas van der Ploeg; Joan Schrijvers; Arnold Verhoeven; Henk van den Hoogen; Marjolein Sijbers-Klaver; Santosh Ilamparuthi; Toine Kuiper; Erik Tjong Kim Sang; Niek van Ulzen; Yvonne Drost; Ingeborg Verheul

doi:10.5281/zenodo.3584333

Risk Management for Research Data about people. A general matrix to be used by data stewards and research supporters for the assessment of privacy risks with research data and determination of appropriate methods for risk management

Jessica Hrudey
, Jan Lucas van der Ploeg
, Joan Schrijvers
, Arnold Verhoeven
, Henk van den Hoogen
, Marjolein Sijbers-Klaver
, Santosh Ilamparuthi
, Toine Kuiper
, Erik Tjong Kim Sang
, Niek van Ulzen
, Yvonne Drost
, Ingeborg Verheul

Research output: Other contribution (not in use) › Other contribution › Academic

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Abstract

This matrix is generic. It is a tool for data stewards or other research supporters to assist researchers in taking appropriate measures for the safe use and protection of data about people in scientific research. It is a template that you can adjust to the context of your own institution, faculty and / or department by taking into consideration your setting’s own policies, guidelines, infrastructure and technical solutions. In this way you can more effectively determine the appropriate technical and organizational measures to protect the data based on the context of the research and the risks associated with the data.

Original language	English
Publisher	Zenodo
Number of pages	13
DOIs	https://doi.org/10.5281/zenodo.3584333
Publication status	Published - Dec 2019

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10.5281/zenodo.3584333Licence: CC BY

LCRDM Risk management for research data about people Final published version, 190 KBLicence: CC BY

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Hrudey, J., Ploeg, J. L. V. D., Schrijvers, J., Verhoeven, A., Hoogen, H. V. D., Sijbers-Klaver, M., Ilamparuthi, S., Kuiper, T., Tjong Kim Sang, E., van Ulzen, N., Drost, Y., & Verheul, I. (2019, Dec). Risk Management for Research Data about people. A general matrix to be used by data stewards and research supporters for the assessment of privacy risks with research data and determination of appropriate methods for risk management. Zenodo. https://doi.org/10.5281/zenodo.3584333

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title = "Risk Management for Research Data about people. A general matrix to be used by data stewards and research supporters for the assessment of privacy risks with research data and determination of appropriate methods for risk management",

abstract = "This matrix is generic. It is a tool for data stewards or other research supporters to assist researchers in taking appropriate measures for the safe use and protection of data about people in scientific research. It is a template that you can adjust to the context of your own institution, faculty and / or department by taking into consideration your setting{\textquoteright}s own policies, guidelines, infrastructure and technical solutions. In this way you can more effectively determine the appropriate technical and organizational measures to protect the data based on the context of the research and the risks associated with the data.",

keywords = "Anonymization, Pseudonymization, RDM, Research Data Management, LCRDM, Netherlands, Personal Data, Basic Steps, Risk Management, Data Stewardship, Data Support, Privacy Risk",

author = "Jessica Hrudey and Ploeg, \{Jan Lucas van der\} and Joan Schrijvers and Arnold Verhoeven and Hoogen, \{Henk van den\} and Marjolein Sijbers-Klaver and Santosh Ilamparuthi and Toine Kuiper and \{Tjong Kim Sang\}, Erik and \{van Ulzen\}, Niek and Yvonne Drost and Ingeborg Verheul",

note = "Accompanied by Anonymization - reference card for researchers. Also a version available in Dutch via www.lcrdm.nl. ",

year = "2019",

month = dec,

doi = "10.5281/zenodo.3584333",

language = "English",

publisher = "Zenodo",

type = "Other",

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Hrudey, J, Ploeg, JLVD, Schrijvers, J, Verhoeven, A, Hoogen, HVD, Sijbers-Klaver, M, Ilamparuthi, S, Kuiper, T, Tjong Kim Sang, E, van Ulzen, N, Drost, Y & Verheul, I 2019, Risk Management for Research Data about people. A general matrix to be used by data stewards and research supporters for the assessment of privacy risks with research data and determination of appropriate methods for risk management. Zenodo. https://doi.org/10.5281/zenodo.3584333

Risk Management for Research Data about people. A general matrix to be used by data stewards and research supporters for the assessment of privacy risks with research data and determination of appropriate methods for risk management. / Hrudey, Jessica; Ploeg, Jan Lucas van der; Schrijvers, Joan et al.
13 p. Zenodo. 2019.

Research output: Other contribution (not in use) › Other contribution › Academic

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AU - Hrudey, Jessica

AU - Ploeg, Jan Lucas van der

AU - Schrijvers, Joan

AU - Verhoeven, Arnold

AU - Hoogen, Henk van den

AU - Sijbers-Klaver, Marjolein

AU - Ilamparuthi, Santosh

AU - Kuiper, Toine

AU - Tjong Kim Sang, Erik

AU - van Ulzen, Niek

AU - Drost, Yvonne

AU - Verheul, Ingeborg

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N2 - This matrix is generic. It is a tool for data stewards or other research supporters to assist researchers in taking appropriate measures for the safe use and protection of data about people in scientific research. It is a template that you can adjust to the context of your own institution, faculty and / or department by taking into consideration your setting’s own policies, guidelines, infrastructure and technical solutions. In this way you can more effectively determine the appropriate technical and organizational measures to protect the data based on the context of the research and the risks associated with the data.

AB - This matrix is generic. It is a tool for data stewards or other research supporters to assist researchers in taking appropriate measures for the safe use and protection of data about people in scientific research. It is a template that you can adjust to the context of your own institution, faculty and / or department by taking into consideration your setting’s own policies, guidelines, infrastructure and technical solutions. In this way you can more effectively determine the appropriate technical and organizational measures to protect the data based on the context of the research and the risks associated with the data.

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KW - LCRDM

KW - Netherlands

KW - Personal Data

KW - Basic Steps

KW - Risk Management

KW - Data Stewardship

KW - Data Support

KW - Privacy Risk

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