DataONE:Notebook/ArticleCitationPractices:Manuscript: Difference between revisions
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Revision as of 15:13, 20 July 2010
- Intro
- state that this has been studied for molecular/medical but not eco/evo
- term: "original data author"
- Methods
- Time sample snapshot
- First 25-50 articles from 2010
- for Percentage stats, current state of things
- Random sample
- blocked by journal and by year
- Extraction
- Fields
- PT/GA not assumed to be on treebase unless explicitly stated (even if the other was)
- Time sample snapshot
- Results
- Discussion
- General
- Suggested best practices (see knoxville ppt)
- Internal (journal) supplementary data used more as a dump than for reusable data
- Specifically, sysbio problems (see Knoxville ppt and 7/13 blog)
- differences between journals
- examples of haphazard citations
- Anecdotes
- NABS: talk with NEON, Alain, Miller
- Author frustrated with Treebase: 10.1093/sysbio/syp080
- Genbank oddities (cited a bazillion different ways in the same paper = need for best practices): http://dx.doi.org.erl.lib.byu.edu/10.1111/j.1365-294X.2009.04411.x 10.1111/j.1365-294X.2009.04411.x
- General
AND http://dx.doi.org.erl.lib.byu.edu/10.1111/j.1365-294X.2009.04433.x 10.1111/j.1365-294X.2009.04433.x
- Future directions (i.e. didn't have time to explore)
- Software/model reuse and sharing (R-packages, GUIs for math equations, etc)
- Method metadata (additional supplementary data about methods, i.e. explicit protocols or analysis steps that help make the data re-usable)
- also, the reusability of the file format
- Track the cited or shared datasets
- Databases (all the rage, but not standardized. at least the metadata and cache could be stored at a repository)
- Recommendations for future studies
- only extract methods
- more in-depth: time series, snapshots of more journals, funding analysis, other factor analysis
- Future directions (i.e. didn't have time to explore)