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Making the Long View:. Archiving, Representing and Sharing a Qualitative Longitudinal Resource March 2005 – August 2006 www.lsbu.ac.uk/inventingadulthoods. Making the Long View. AIM

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Making the long view

Making the Long View:

Archiving, Representing and Sharing a Qualitative Longitudinal Resource

March 2005 – August 2006

www.lsbu.ac.uk/inventingadulthoods


Making the long view1
Making the Long View

AIM

Explore creative ways of overcoming ethical & practical problems involved in providing access to a qualitative longitudinal (QL) dataset


Making the long view2

CORE TEAM

Sheila Henderson

Janet Holland

Sheena McGrellis

Sue Sharpe

London South Bank University

Rachel Thomson

Open University

Making the Long View

MLV TEAM

Jorge Camacho

Debby Holder

London South Bank University


Making the long view the dataset
Making the Long View: The dataset

INVENTING ADULTHOODS

  • A unique QL study combining three ESRC-funded studies from 1996-2006

  • Rich biographical accounts of all aspects of life of a diverse group of 100 young people (aged 11-17 in 1996) growing up at the turn of the 21st century


Making the long view the dataset1
Making the Long View: The dataset

INVENTING ADULTHOODS

Five areas

England

  • Disadvantaged estate in the north

  • Isolated rural area

  • Affluent area in a southern commuter belt

  • Inner city area in the south

    Northern Ireland

  • Diverse communities of a city


Making the long view the dataset2
Making the Long View: The dataset

INVENTING ADULTHOODS

Methods

  • Biographical interviews (up to 6 rounds)

  • Focus groups

  • Lifelines

  • Memory books

  • Questionnaires

  • Research assignments


Making the long view3
Making the Long View

Case Data

  • Individual interview audio cassette, MP3 file and transcript (up to 6)

  • Questionnaire (up to 3)

  • Focus group audio cassette and transcript (up to 2)

  • Lifeline (& follow-up)

  • Memorybook

  • Case profile (first level analysis post-interview: processual features, substantive content, and researcher’s reflections).


Making the long view4
Making the Long View

THE WORK

  • Prepare a showcase ‘mini’ archive (10 cases)

  • Explore the potential for using the ‘mini’ archive

  • Establish a network of dataset users

  • Disseminate project findings


Making the long view5
Making the Long View

ARCHIVING

  • Debates: our position

  • Motives

  • Contribution of the QL perspective

  • 3 dimensions of time: biographical, historical, research

  • Our continued contact with the YP

  • Ethical selection criteria

  • Consent: informed, participatory

  • Cleaning and anonymisation

  • The unforeseens


Making the long view6
Making the Long View

CASE ARCHIVING PROCESS

The 5 steps

1. Case selection

2. Consent

3. Data location, collation and digitisation

4. Cleaning

5. Anonymisation


Making the long view7
Making the Long View

GLEN: THE BASICS

  • Sex: Male

  • Location: Northern Ireland

  • Interview age: 16-23

  • Class: WC

  • Ethnicity: White Caucasian


Making the long view8
Making the Long View

GLEN’S STORY

  • Parental split

  • Creative arts

  • Drugs and alcohol

  • Few resources

  • Homelessness

  • Violence

  • Reliance on intimate relationships


Making the long view9
Making the Long View

GLEN’S DATA

Interviews

(transcript, audio tape, mp3 file)

Date Age Interviewer

1:

2: 12/08/99 17 SMG

3: 23/11/00 19 SMG

4: 18/05/01 19 SMG

5: 17/01/03 21 SMG

6: 05/11/04 23 SMG


Making the long view10
Making the Long View

GLEN’S DATA

Other data

Case profile

Questionnaire: hard copy

Focus group: transcript, audio tape

Lifeline: hard copy


Making the long view11
Making the Long View

Selection criteria

  • Diversity

  • Ability to cope

  • Data volume

  • Data quality

  • Contact-ability


Making the long view12
Making the Long View

GLEN: Selection criteria

  • Different story / transitions

  • Policy interest

  • Data volume

  • Data quality


Making the long view13
Making the Long View

GLEN: Selection criteria

  • Ability to cope ?

  • Contact-ability ?


Making the long view14
Making the Long View

Consent

  • Initial verbal

  • Consent form (& information sheet)

  • Consult re anonymisation


Making the long view15
Making the Long View

GLEN: Consent

  • Initial verbal

  • Consent form (& information sheet)

  • Contact and consultation: April September 2006


Making the long view16
Making the Long View

Glen:Data collation & digitisation



Making the long view18
Making the Long View

Anonymisation: The QL context

  • Published analysis & interpretation

  • Pseudonyms and red herrings

  • A cumulative process: within case, within research site


Making the long view19

Anonymisation: The ‘snapshot’ study

Making the Long View

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Making the long view20

Anonymisation: The QL study

Making the Long View

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Making the long view21

Anonymising Glen

Protecting against an internal audience

Protecting yp from external audience

Protecting against the cumulative effect over time within case

Protecting against the cumulative effect over timecross- case within same site

Making the Long View


Making the long view22

Protecting against an internal audience

Possibilities: teachers, youth workers, youth advisers in benefit office; key workers in housing initiatives; other young people both in study and in his home town; journalist friend (so other journalists)

Making the Long View


Making the long view23

Protecting yp from external audience

Political significance of NI

Less possibilities than other sites

Change place and people names

Red herrings

Making the Long View


Making the long view24

Protecting against the cumulative effect within case

Education and training

Interest in music

Making the Long View


Making the long view25

Protecting against the cumulative effect cross- case within same site

Significance of a multi media centre

Significance of places and people in the music scene

Making the Long View


Making the long view26
Making the Long View same site

THE LESSONS:

ANONYMISING DATA

  • Anonymising QL data is a cumulative, labour intensive process

  • Listen to /read all interviews for a case before anonymising

  • Hold in the balance: internal and external ‘audiences’ for the dataset; cross-case and cross-research site considerations

  • Research sites vary in the degree to which they can be identified and need protection

  • Be prepared to return to transcripts from a particular research site as your knowledge and approach to anonymisation develops over time


Making the long view27

Making the Long View: same site

Archiving, Representing and Sharing a Qualitative Longitudinal Resource

March 2005 – August 2006

www.lsbu.ac.uk/inventingadulthoods


Making the long view28
Making the Long View same site

CASE ARCHIVING COSTS


Making the long view29
Making the Long View same site

COSTS

First 10 cases: £17,625 - 00

Per case:£1,762 - 50


Making the long view30

Making the Long View: same site

Archiving, Representing and Sharing a Qualitative Longitudinal Resource

March 2005 – August 2006

www.lsbu.ac.uk/inventingadulthoods


Making the long view31
Making the Long View same site

THE LESSONS:

CONSENT & CONFIDENTIALITY

  • Take a positive approach. 100% confidentiality impossible but negotiate with respondents on this basis

  • Get the balance right: consultation / too much work; giving enough / too much information for consent

  • Investing intensive labour into a relationship that could fall apart: data preparation & consent process

  • A commitment to archiving data means distinguishing often unclear and confused questions: confidentiality & control and ownership of data


Making the long view32
Making the Long View same site

THE LESSONS:

MANAGING DATA

  • Think about how you store your data: by case, cross-sectionally or both?

  • Take a pragmatic approach to making technological decisions (e.g. digital audio file type), balancing quality and future-proofing with budget and storage space

  • Clean and negotiate archiving consent as you go but, in the QL context, leave anonymisation as late as possible

  • Establish a standard page format and keep track of all anonymisation changes made in a standard format

  • Save and back-up both cleaned and cleaned and anonymised copies of transcripts


Making the long view33
Making the Long View same site

THE LESSONS:

RE-CONTEXTUALISING DATASETS

  • No two projects are the same, the issues involved in archiving and representing qualitative data will vary in detail

  • Different users will have very different contextualisation needs

  • When providing contextual data, establish boundaries between what your work and the work of future dataset users should be


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