One important aspect of the open science movement, is making your research data more accessible than when formated in manuscripts (which are usually only the tip of an enormous iceberg of work and findings). The data can be slide presentations, data sets or figures for example. All are very rich in unpublished information. Several sites offer researchers to share such information:
- Figshare – Share papers, figures.
- OpenWetWare – Share detailed protocols for biologists and bioengineers
- SciVee – Share videos of protocols and talks
- SlideShare – Share slide presentations
- MyExperiment – Share scientific workflows
I can see a number of different advantages to doing this.
- Online sharing services help create a communities and form relationships.
- Sharing protocols or workflows increases research efficiency, by favoring access to expertise and avoiding reinvention.
- Platforms for sharing data allow to share negative results and help combat the “positive result bias” in scientific publishing.
- Finally, this is also increases your presence on the web for your personal promotion.
Of course in some scientific domains, sharing openly your data is discouraged because of strong competition or pressure to patent or publish first. But even if posted online years after the original publication, the data can still be valuable to the community.
Searching the pool of shared data is currently not an easy task. Although sites like SlideShare, OpenWetWare and FigShare are rather well indexed in by search engines, searching for specific information contained in the data might be more challenging for example. More specialized tools, like what the DataCite initative is offering, that can efficiently index, organize and search through the shared data will clearly benefit the open data movement.