Assignment 12: What is data management

Data Collection, Testing, and Observation/Data Collection, Interviewing

What is data?

Basically, data or the plural form is called “datum.” Essentially data are pieces of information or facts that are collected for a research study. This carried out through data collection procedures. Ideally, collected data procedures is one that captures the information in a way that it is relevant, credible, accurate, truthful and sensitive. The method is which data is collected should be objective (free of bias) and systematic. It must be appropriate to the problem, the hypothesis, the setting, and the population.

What is research data management?

Research data management (or RDM) is a term that describes the organization, storage, preservation, and sharing of data collected and used in a research project. It involves the everyday management of research data during the lifetime of a research project (for example, using consistent file naming conventions). It also involves decisions about how data will be preserved and shared after the project is completed (for example, depositing the data in a repository for long-term archiving and access).

Data management planning and things to consider.

An important first step in managing your research data is planning. To get you started thinking about data management planning, here are some of the issues you need to consider:

· Your institution’s and funding agency’s expectations and policies

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. In many cases you need Institutional Review Board (IRB) permission prior to collection of data

· Whether you collect new data or reuse existing data

· The kind of data collected and its format

· The quantity of data collected

· Whether versions of the data need to be tracked

· Storage of active data and backup policy and implementation

· Storage and archiving options and requirements

· Organizing and describing or labeling the data

· Data access and sharing

· Privacy, consent, intellectual property, and security issues

· Roles and responsibilities for data management on your research team

· Budgeting for data management

Videos:

What is Data?

What is data management – and why do you need it in interdisciplinary life sciences?

Tests of Function, Physical Assessment Measures, and Biological Tests are types of data testing

Testing of Data (Suggestions for Improvement)

· Make sure everyone is looking at the same requirements.

· Write a test plan.

· Decide what to test.

· Decide where to test.

· Decide how much to test.

· Keep an eye out for odd things.

· Stay focused on what you are trying to test.

Website Link – Testing:

This link features a publication by Karis Van Valin 11/27/2017 where he expands on the suggested data testing improvement techniques.

https://www.stickyminds.com/article/7-steps-improving-your-data-testing

Observations

According to literature, observations is a way of collecting data through monitoring/watching. Observation data collection method is classified as a participatory study, because the researcher has to immerse himself/herself in the setting where her respondents are, while taking notes and/or recording.

Video: Research Methods: Observations

Video: Types of Observations

https://www.youtube.com/watch?v=dvRZsWhBnpo

Interviewing

Interviews can be defined as a qualitative research technique which involves “conducting intensive individual interviews with a small number of respondents to explore their perspectives on a particular idea, program or situation.” Assignment 12: What is data management

Boyce, C. & Neale, P. (2006). Conducting in-depth interviews: A guide for designing and conducting in-depth interviews, Pathfinder International Tool Series

Video: Qualitative analysis of interview data: A step-by-step guide

Video: Unstructured, Semi-Structured and Structured Interviews

All the best|!

Dr. Davis