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Modelling Data Environments WithinPROV to Assist AnonymisationDecision-making

Modelling Data Environments WithinPROV to Assist AnonymisationDecision-making
Modelling Data Environments WithinPROV to Assist AnonymisationDecision-making
The Anonymisation Decision-making Framework (ADF) operationalizes the risk management of data exchange between organizations, referred to as "data environments". The second edition of ADF has increased its emphasis on modeling data flows, highlighting a potential new use of provenance information to support anonymisation decision-making. In this paper, we provide a use case that showcases this functionality. Based on this use case, we identify how provenance information could be utilized within the ADF, and identify a currently un-met requirement which is the modeling of data environments. We show how data environments can be implemented within the W3C PROV in four different ways. We analyze the costs and benefits of each approach, and consider another use case as a partial check for completeness. We then summarize our findings and suggest ways forward.
Jarwar, Muhammad Aslam
22464a19-da43-42dd-929f-86b7324ce9b9
Chapman, Age
721b7321-8904-4be2-9b01-876c430743f1
Elliot, Mark
85d9b4c3-51ff-44c1-91a9-04ee84132082
Raji, Fatemeh
d20a1463-674f-4b8e-a4d4-b2efc9194aa8
Jarwar, Muhammad Aslam
22464a19-da43-42dd-929f-86b7324ce9b9
Chapman, Age
721b7321-8904-4be2-9b01-876c430743f1
Elliot, Mark
85d9b4c3-51ff-44c1-91a9-04ee84132082
Raji, Fatemeh
d20a1463-674f-4b8e-a4d4-b2efc9194aa8

Jarwar, Muhammad Aslam, Chapman, Age, Elliot, Mark and Raji, Fatemeh (2021) Modelling Data Environments WithinPROV to Assist AnonymisationDecision-making. In Modelling Data Environments WithinPROV to Assist AnonymisationDecision-making. (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

The Anonymisation Decision-making Framework (ADF) operationalizes the risk management of data exchange between organizations, referred to as "data environments". The second edition of ADF has increased its emphasis on modeling data flows, highlighting a potential new use of provenance information to support anonymisation decision-making. In this paper, we provide a use case that showcases this functionality. Based on this use case, we identify how provenance information could be utilized within the ADF, and identify a currently un-met requirement which is the modeling of data environments. We show how data environments can be implemented within the W3C PROV in four different ways. We analyze the costs and benefits of each approach, and consider another use case as a partial check for completeness. We then summarize our findings and suggest ways forward.

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More information

Accepted/In Press date: 1 October 2021

Identifiers

Local EPrints ID: 453871
URI: http://eprints.soton.ac.uk/id/eprint/453871
PURE UUID: ec1b7b43-1310-45de-b589-850c134a4acf
ORCID for Age Chapman: ORCID iD orcid.org/0000-0002-3814-2587

Catalogue record

Date deposited: 25 Jan 2022 17:42
Last modified: 19 Dec 2023 02:57

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Contributors

Author: Muhammad Aslam Jarwar
Author: Age Chapman ORCID iD
Author: Mark Elliot
Author: Fatemeh Raji

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