Biogang:Projects/Science 2.0 Course: Difference between revisions
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(New page: == Science 2.0 Course == ''The idea behind this page is to build a comprehensive course material for people talking about or even teaching how to do science in connected world (so-called ...) |
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Revision as of 08:38, 21 June 2010
Science 2.0 Course
The idea behind this page is to build a comprehensive course material for people talking about or even teaching how to do science in connected world (so-called Science 2.0).
- Communication, collaboration, visibility
- New communications channels (blogs, microblogs, aggregators, virtual conferences ans poster sessions) and examples of successful applying in science.
- New roles of blogs, Research Blogging initiative.
- Wikis, Etherpad and Google Documents/Wave - platforms for document co-writing.
- Collaboration for programmers, Git.
- Visibility and recognition in the internets: StackOverflow and ResearcherID.
- Metrics (large list of relevant articles is on this FriendFeed thread)
- Impact Factor - Show me the data JCB editorial on IF
- h-index - Wikipedia page
- Practical open science
- Spectrum of openness in science.
- Open Access (Green,Gold)
- Open Data (public domain/CC0)
- Open Notebook Science (see ONS Claims page and the original blog posts )
- Community annotation of genes/proteins/structures and why these aren’t so successful.
- Crowdsourcing and citizen-science.
- Overview of open data repositories, focusing on open data coming from pharma industry.
- Current discussions on intellectual property - what’s not protected and what’s not licensable?
- Data attribution.
- Spectrum of openness in science.
- Searching for information and literature management
- Information overflow - myth or fact?
- Additional info
- Clay Shirky's talk over at Web 2.0 Expo - Information Overload or Filter Failure
- Cameron Neylon's slides from NFAIS meeting - Now, about that filter...
- Additional info
- Searching for information - differences between PubMed and Google Scholar.
- Semantic analysis of abstracts based on GoPubMed and NovoSeek.
- Targeted text-mining tools.
- Literature management: online (Connotea, CiteULike) and desktop (Zotero, Mendeley) approaches. Alternatives for EndNote. Automated or not – literature recommendations.
- Information overflow - myth or fact?
