Biomedical research today is not only rigorous, innovative and insightful, it also has to be organized and reproducible. With more capacity to create and store data, there is the challenge of making data discoverable, understandable, and reusable. Many funding agencies and journal publishers are requiring publication of relevant data to promote open science and reproducibility of research.
In order to meet to these requirements and evolving trends, researchers and information professionals will need the data management and curation knowledge and skills to support the access, reuse and preservation of data.
This course is designed to address present and future data management needs.
At the end of this course, you’ll be able to:
- Describe the wide variety of types of research data.
- Describe the research data lifecycle.
- Explain the documentation needed to facilitate accessibility and reproducibility of research findings.
- Identify intent of data policies that have been emerging and identify the major government funding agencies currently requiring data management plans.
- Identify the basic principles that govern both human subject research and use of animals for research.
- Describe tools available to foster collaboration and sharing of resources.
- Explain why managing and sharing research data in important.
- Distinguish the characteristics of long-term storage, curation and preservation of research data.
- Understand the support role an information professional can play in research data management planning and recognize the potential partnerships between librarians and researchers.
Target Audience: This course is aimed at a broad audience including librarians, biomedical researchers, undergraduate and graduate biomedical students, and all other interested individuals.
Course is offered by Harvard Medical School.