Research Data Management: Why is Research Data Management Necessary?

Researchers may wonder if managing their data is really necessary. Yes, when conducting research, data management should be carried out for a number of reasons:

• To prevent data loss 
• To prevent costly repetition of data collection, which is duplication of effort.
• To prevent accidental breaches of privacy and ethical legislation
• To improve integrity and reliability of your research and thus the reproducibility of your research
• To ensure your data is accessible and shareable to facilitate new discoveries
• When research is made publicly available, it becomes verifiable, resulting in increased visibility and gain a number of citations

Additionally, RDM is a component of good research best practice

Research tools are resources, platforms, or strategies that assist researchers in efficiently gathering, analyzing, organizing, and presenting data or information. They can be generally classified based on their role in the research process

Data Analysis and Visualization-

Quantitative analysis- SPSS, Stata, Python, R, RStudio,

Qualitative analysis- NVivo, Atlas.ti

Statistical Analysis- Stata, SAS

Data Visualisation- Tableau

Data Collection and Capture-

Survey tools: Google forms, SurveyMonkey, Qualtrics, RedCap 

Observation and recording: Evernote, Open Data Kit,Fieldkit, LabVIEW