## Module 2: Research Lifecycle ##
This module covers the research lifecycle and a few actionable concepts you can implement to help you better find organize and understand your work.
### Learning Objectives ###
1. Describe the research lifecycle and the data lifecycle
2. Identify common data formats and file types that facilitate long-term access to data
3. Explain the significance of observing file naming conventions and version control
4. Explain the documentation needed to facilitate accessibility and reproducibility of findings by you or someone unfamiliar with your project
### Readings and Resources ###
**Required**
Griffin, Philippa C. et al. 2017. "Best Practice Data Life Cycle Approaches for the Life Sciences." bioRxiv 167619. https://doi.org/10.1101/167619
Ziemann, Mark, Yotam Eren, and Assam El-Osta. 2016 "Gene name errors are widespread in the scientific literature." Genome Biology 17(1): 177-179. http://www.dx.doi.org/10.1186/s13059-016-1044-7
Open Data Handbook. File Formats http://opendatahandbook.org/guide/en/appendices/file-formats
UK Data Archive. Formatting your Data http://www.data-archive.ac.uk/create-manage/format
**Supplemental**
Blischak, John D., Emily R. Davenport, and Greg Wilson. 2016. "A Quick Introduction to Version Control with Git and GitHub." PLoS Computational Biology 12(1): e1004668. http://dx.doi.org/10.1371/journal.pcbi.1004668
Ball, Alex. 2012. Review of Data Management Lifecycle Models. REDm-MED Project Document redm1rep120110ab10. Bath, UK: University of Bath. http://opus.bath.ac.uk/28587/1/redm1rep120110ab10.pdf
OME. Bio-formats https://www.openmicroscopy.org/bio-formats
PRONOM. Online Registry of Technical Information http://www.nationalarchives.gov.uk/pronom
