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Impact assessment indicators for the UK Web Archive.

Authors :
Fukuyama, Julie
Tanner, Simon
Source :
Performance Measurement & Metrics; 2022, Vol. 23 Issue 1, p13-25, 13p
Publication Year :
2022

Abstract

Purpose: The purpose of this paper is to present the results of a study to examine, determine and propose the optimal approach to develop impact assessment indicators for the UK Web Archive. Design/methodology/approach: The paper analyses the existing literature on impact assessment frameworks for digital resources and the types of impact in related fields to set an approach to develop an impact assessment plan. Primarily drawing from the Balanced Value Impact Model, the approach consists of three stages: context setting, indicator development and indicator evaluation. Findings: The development of a set of potential impact assessment indicators for the UK Web Archive shows not only an optimal approach for the development but also recommendations for web archiving organisations. Research limitations/implications: The research did not carry out follow-up interviews regarding the feedback from UK Web Archive's staff. Adoption of the new set of indicators will further this development. Practical implications: The staff's duties influence their prioritisation of the indicators, so discussions among partners will be helpful in recognising different perceptions, unnoticed strengths and potential values. A progressive accumulation of assessment and improvements from the current state and small regular evaluations will be also helpful to demonstrate the impact and value to the stakeholders in the future. Originality/value: This paper proposes a set of 13 potential indicators for the UK Web Archive of which functionality was checked against set quality criteria and tested through semi-structured interviews and survey submissions with the UK Web Archive staff members. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14678047
Volume :
23
Issue :
1
Database :
Complementary Index
Journal :
Performance Measurement & Metrics
Publication Type :
Academic Journal
Accession number :
157186336
Full Text :
https://doi.org/10.1108/PMM-09-2021-0049