DataONE:Notebook/ArticleCitationPractices:Manuscript: Difference between revisions
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****also, the reusability of the file format | ****also, the reusability of the file format | ||
***Track the cited or shared datasets | ***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 | **Recommendations for future studies | ||
***only extract methods | ***only extract methods | ||
***more in-depth: time series, snapshots of more journals, funding analysis, other factor analysis | ***more in-depth: time series, snapshots of more journals, funding analysis, other factor analysis | ||
Revision as of 12:18, 29 June 2010
- Intro
- state that this has been studied for molecular/medical but not eco/evo
- 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
- Time sample snapshot
- Results
- Discussion
- General
- Internal (journal) supplementary data used more as a dump than for reusable data
- 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)