Name
Abstract | ||
|---|---|---|
Sensitive data and collaborative projects pose challenges for reproducible computational research. We present a workflow based on literate programming and distributed version control to produce well-documented and dynamic documents collaboratively authored by a team composed of members with varying data access privileges. Data are stored on secure institutional network drives and incorporated into projects using a feature of the Git version control system: submodules. Code to analyze data and write text is managed on public collaborative development environments. This workflow supports collaborative authorship while simultaneously protecting sensitive data. The workflow is designed to be inexpensive and is implemented primarily with a variety of free and open-source software. Work products can be abstracts, manuscripts, posters, slide decks, grant applications, or other documents. This approach is adaptable to teams of varying size in other collaborative situations. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.5220/0006109302300235 | PROCEEDINGS OF THE 10TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, VOL 5: HEALTHINF |
Keywords | Field | DocType |
Data Security, Collaborative Authoring, Reproducible Reports, Workflow, Software | Data security,Software engineering,Computer science,Knowledge management,Database | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter E. Dewitt | 1 | 0 | 0.34 |
| Tellen D. Bennett | 2 | 0 | 1.35 |