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Article
Publication date: 1 January 1994

Wendy Treadwell and James A. Cogswell

The University of Minnesota Libraries have established a full‐service information center to facilitate end‐user access to machine‐readable datafiles, particularly U.S. government…

Abstract

The University of Minnesota Libraries have established a full‐service information center to facilitate end‐user access to machine‐readable datafiles, particularly U.S. government datafiles such as the Census. The Machine Readable Data Center (MRDC), funded through a three‐year, $240,000 grant from the College Library Technology and Cooperation Grants Program (HEA Title II‐D), presents an alternative, library‐centered model for providing students, faculty, and independent researchers with direct access to machine‐readable data.

Details

Library Hi Tech, vol. 12 no. 1
Type: Research Article
ISSN: 0737-8831

Content available
Book part
Publication date: 23 November 2018

Tara Brabazon, Steve Redhead and Runyararo S. Chivaura

Abstract

Details

Trump Studies
Type: Book
ISBN: 978-1-78769-779-9

Abstract

Details

Trump Studies
Type: Book
ISBN: 978-1-78769-779-9

Abstract

Details

Theoretical Times
Type: Book
ISBN: 978-1-78714-669-3

Abstract

Details

Terror, Leisure and Consumption: Spaces for Harm in a Post-Crash Era
Type: Book
ISBN: 978-1-78756-526-5

Content available
Book part
Publication date: 3 July 2020

Abstract

Details

Video Games Crime and Next-Gen Deviance
Type: Book
ISBN: 978-1-83867-450-2

Content available
Book part
Publication date: 5 December 2018

Thomas Raymen

Abstract

Details

Parkour, Deviance and Leisure in the Late-Capitalist City: An Ethnography
Type: Book
ISBN: 978-1-78743-812-5

Book part
Publication date: 20 November 2017

Steve Redhead

Abstract

Details

Theoretical Times
Type: Book
ISBN: 978-1-78714-669-3

Article
Publication date: 31 July 2023

Sarah Page and Sean Griffin

This paper aims to explore the tripart relationship between British police officers, Local Authority representatives and community members based on a Midlands neighbourhood case…

Abstract

Purpose

This paper aims to explore the tripart relationship between British police officers, Local Authority representatives and community members based on a Midlands neighbourhood case study. It focuses on experiences of the strengths and challenges with working towards a common purpose of community safety and resilience building.

Design/methodology/approach

Data was collected in 2019 prior to enforced COVID lockdown restrictions following Staffordshire University ethical approval. An inductive qualitative methods approach of semi-structured individual and group interviews was used with community members (N = 30) and professionals (N = 15), using a purposive and snowball sample. A steering group with academic, police and Local Authority representation co-designed the study and identified the first tier of participants.

Findings

Community members and professionals valued tripart working and perceived communication, visibility, longevity and trust as key to addressing localised community safety issues. Challenges were raised around communication modes and frequency, cultural barriers to accessing information and inadequate resources and responses to issues. Environmental crime was a high priority for community members, along with tackling drug-related crime and diverting youth disorder, which concurred with police concern. However, the anti-terrorism agenda was a pre-occupation for the Local Authority, and school concerns included modern slavery crime.

Originality/value

When state involvement and investment in neighbourhoods decline, community member activism enthusiasm for neighbourhood improvement reduces, contrasting with government expectations. Community members are committed partnership workers who require the state to visibly and demonstrably engage. Faith in state actors can be restored when professionals are consistently present, communicate and follow up on actions.

Details

Safer Communities, vol. 22 no. 4
Type: Research Article
ISSN: 1757-8043

Keywords

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