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Home/ Global Knowledge Exchange.Net (GKEN)/ Contents contributed and discussions participated by Gosia Stergios

Contents contributed and discussions participated by Gosia Stergios

Gosia Stergios

authorea - Get your research done. Collaboratively. On the web. - 0 views

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    an incubator initiative of Harvard University and the Harvard-Smithsonian Center for Astrophysics
Gosia Stergios

Open Research Online - Contested Collective Intelligence: rationale, technologies, and ... - 1 views

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    A human-machine approach to annotation framework (contested collective intelligence)
Gosia Stergios

Open Annotation (Van de Sompel) - 0 views

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    Another effort to build an open annotation framework
Gosia Stergios

Open Access: Freedom for Scholarship in the Internet Age (Dissertation Draft / Heather ... - 1 views

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    Heather Morrison has released a draft of her doctoral thesis Freedom for Scholarship in the Internet Age.
Gosia Stergios

The Five Stars of Online Journal Articles - a Framework for Article Evaluation / D-Lib ... - 0 views

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    five factors - peer review, open access, enriched content, available datasets and machine-readable metadata - as the Five Stars of Online Journal Articles,
Gosia Stergios

Library Open-Source Software Registry - 0 views

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    another useful directory
Gosia Stergios

The Rise of the New Groupthink: - NYTimes.com Jan.'12 - 0 views

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    What distinguished programmers at the top-performing companies wasn't greater experience or better pay. It was how much privacy, personal workspace and freedom from interruption they enjoyed. Sixty-two percent of the best performers said their workspace was sufficiently private compared with only 19 percent of the worst performers. Seventy-six percent of the worst programmers but only 38 percent of the best said that they were often interrupted needlessly.
Gosia Stergios

To Know, but Not Understand: David Weinberger on Science and Big Data - David Weinberge... - 0 views

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    In an edited excerpt from his new book, Too Big to Know, David Weinberger explains how the massive amounts of data necessary to deal with complex phenomena exceed any single brain's ability to grasp, yet networked science rolls on.
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