Tag - research data management

Sensitive data refers to data that needs protection from unauthorized disclosure. It's important to safeguard access to sensitive research data, and any sharing of it should be carefully planned.

This week we share a simple but important practice about organizing data files and documents for submitting papers to journals.

We are pleased to announce the launch of DMPTool@HKUST, a data management plan (DMP) writing platform at HKUST. 

The value of research data can go way beyond the project for which it is created. Well-managed data can optimize it’s re-usability and research reproducibility; it also helps researchers to demonstrate good research practice and integrity.

More and more journals require you to write a Data Availability Statement (DAS) when you submit a manuscript. What is DAS? How do you write one?

Datasets cannot speak for themselves. It is the way that you describe your research data and the methodology that matters.

Environment data poses specific challenges to researchers in data management. Networked sensors collect voluminous data that require systematic planning in workflow, storage and dissemination. Prof. NING Zhi (ENVR) illustrated good data practices with environment big data.

Welcome back! We hope you had a restful and rejuvenating break. As we begin a new term, we would like to bring your attention to the new Researchers’ Series program.  

When you submit a paper to a journal, do you check the journal's research data policy? It is important to know what you may be asked to do about your research data in the publication process.

Last week, Dr. Rebecca Grant from Nature Research Academies held a very informative webinar for HKUST researchers on managing sensitive research data. Here we revisit a few important tips.