LibGuides: MA In ICT Programme Subject Guide.: Data Management

Data Management: An Introduction

Choosing Your Research Method

DOCUMENT REVIEW: For a document review, review you need to have access to lots of original documents that have not been analysed.

HISTORICAL REVIEW: For historical review, you gather evidence, assess evidence then tell a story maybe more than one story.

CASE METHODS: case methods you get all the information around one illustrative or typical case.

ORGANIZATIONAL OR CULTURAL STUDY: you find out what was happening in people's minds by interview or focus groups, on-line forums or anonymous surveys.

Once you have reflected on this and made your decision on the research type, you then PLAN what sort of data you will collect, how you will organize it , how you will analyse it , store it and finally what you will do when you are done.

Data Management Resources and Links

Research ICT Africa
Towards Evidence-based ICT Policy and Regulation Research ICT Africa has an interesting focus which can help you see how some of the methods are working in practice. Evidence-based research means systematically collecting evidence that can be compared. It is a demanding methodology. Take a look at how the papers from Research ICT Africa proceeds. Stork, M and Stork, C Towards Evidence-based ICT Policy and Regulation ICT Household Survey Methodology & Fieldwork Volume ONE 2008 Policy . The tables are very clear.

The paper Regulatory Intervention or Disruptive Competition? Lessons from East Africa on the End of International Mobile Roaming Charges, Towards Evidence-based ICT Policy and Regulation 2010 Volume TWO Policy Paper 1 is a nice example of how to use conceptual framework when working with case study data.

Data Management Templates

Data Management: Policy Documents

NDI Analysing Legislation
Explains the process on how policy documents should be read and interpreted

Data Management

Dataup
An open source tool that helps researchers document, manage, and archive their tabular data.
ICPSR
ICPSR stores, curates, and provides access to scientific data so others can reuse the data and validate research findings. Curation, from the Latin "to care," is the process that ICPSR uses to add value to data, maximize access, and ensure long-term preservation