1.2.4. Managing Data and Resources

Data management is pivotal for maintaining the integrity of the research process. Authors should invest in organizing data meticulously and referencing sources accurately. Good practices in data management lend credibility to your work and make it replicable for future research (Tenopir et al., 2011). Apart from the usage in your study, managing data and resources has two different aspects.

• One of them is how to share this data and its copyright issues. If you are funded from an institution publishing or re-working with data can be restricted. Also, there can disagreement between peers so these kinds of issues should be agreed before study begins.
• The second aspect of managing data and resources is how to store them. This aspect is also ethical issue because storing sensitive data and providing their confidentiality are very important for studies and researchers’ reliability.  

In other words, data management is vital to maintaining the integrity of the research process. Organizing data neatly and referencing sources accurately increases the reliability of the study and ensures its reproducibility for future research. While data management includes sharing and copyright issues, it also addresses ethical issues such as storing and protecting the privacy of data.