Enhancing Student Research Experiences with Open Data from the Allen Brain Map.
| Autor: | Casimo K; Allen Institute, Seattle, WA, 98109. |
|---|---|
| Jazyk: | angličtina |
| Zdroj: | Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience [J Undergrad Neurosci Educ] 2022 Jun 01; Vol. 20 (2), pp. A178-A183. Date of Electronic Publication: 2022 Jun 01 (Print Publication: 2022). |
| DOI: | 10.59390/NWXO4043 |
| Abstrakt: | The Allen Brain Map is the main data repository for the Allen Institute for Brain Science, containing big, open datasets commonly used in neuroscience research (Allen Institute for Brain Science, 2022). Open data from the Allen Brain Map can be used to teach core concepts in neuroscience, data analysis methods, and other critical skills and knowledge to neuroscience students. These datasets can be used as the main data source for completely online lab experiences, or analyzed in combination with data students collect themselves. Applications may range in scope and format from a short worksheet used in a single class session to a coding tutorial to a guided independent research project. While open online data cannot fully replace lab experiences for learning techniques, they can be used to expose students to analysis of big data, introduce resources widely used in the field, and teach skills like statistics and coding. This article reviews potential assignment formats where big and open data can be applied, introduces selected popular resources and sample use cases for each, and discusses benefits and limitations of open online data for lab experiences. Some specific applications in the context of distance learning are also detailed. (Copyright © 2022 Faculty for Undergraduate Neuroscience.) |
| Databáze: | MEDLINE |
| Externí odkaz: |
|