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Making the web work for science - eResearch nz
 

Making the web work for science - eResearch nz

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Keynote for eResearch NZ conference at Waikato University

Keynote for eResearch NZ conference at Waikato University

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    Making the web work for science - eResearch nz Making the web work for science - eResearch nz Presentation Transcript

    • kaitlin thaney @kaythaney ; @mozillascience eResearch NZ / 2 july 2014 making the web work for science
    • doing good is part of our code
    • help researchers use the power of the open web to change science’s future.
    • (0)
    • science is still (largely) rooted in 17th c. practices. (with more powerful horses)
    • early forms of knowledge sharing
    • our current systems are designed to create friction. despite original intentions.
    • we’re locked in old mechanisms.
    • What Des-Cartes did was a good step. You have added much several ways, & especially in taking ye colours of thin plates into philosophical consideration. If I have seen further it is by standing on ye shoulders of Giants. - Isaac Newton, 1676 “ “
    • existing system is imperfect
    • traditions last not because they are excellent, but because influential people are averse to change and because of the sheer burdens of transition to a better state ... “ “ Cass Sunstein
    • power, performance, scale
    • current state of science articles data patents
    • some have a firehose articles data patents
    • (1)
    • leveraging the power of the web for scholarship
    • - access to content, data, code, materials. - emergence of “web-native” tools. - rewards for openness, interop, collaboration, sharing. - push for ROI, reuse, recomputability, transparency. “web-enabled science”
    • emergence of new communities, practice
    • research cycle idea experiment lit review materials publish share results retest analyze collect data
    • types of information hypothesis/query protocols parameters content non-digital “stuff” articles proceedings negative results analysis code datasets models (added complexity) prof activities mentorship teaching activities
    • blocking points idea experiment access attaining materials publish share results retest analyze collect data (to name a few ...)
    • how to shift practice towards open? routine rewardcue
    • Source: Michener, 2006 Ecoinformatics.
    • Source: Wolkovich et al. GCB 2012.
    • wasted ... $$$ time resource opportunity
    • (2)
    • looking beyond “open” is access enough?
    • code (interop) community (people) code/data literacy (means to learn/engage)
    • our systems need to talk to one another. leveraging open technology, existing infrastructure.
    • unpacking what the web can do for science
    • code as a research object what’s needed to reuse ? http://bit.ly/mozfiggit
    • code as a research object http://xkcd.com/285/ http://bit.ly/mozfiggit
    • (community driven) metadata for software discovery: JSON-LD http://bit.ly/mozfiggit
    • (3)
    • our practices are limiting us. how best move towards adoption?
    • “web-enabled science” - access to content, data, code, materials. - emergence of “web-native” tools. - rewards for openness, interop, collaboration, sharing. - push for ROI, reuse, recomputability, transparency.
    • “web-enabled science” what’s missing? - access to content, data, code, materials. - emergence of “web-native” tools. - rewards for openness, interop, collaboration, sharing. - push for ROI, reuse, recomputability, transparency.
    • social software hardware infrastructure layers
    • “the social infrastructure” routine rewardcue
    • upping our digital literacy
    • upping our digital literacy
    • “Reliance on ad-hoc, self- education about what’s possible doesn’t scale.” - Selena Decklemann
    • current activity: 130+ instructors (60+, training) 3700+ learners
    • instill best (digital, reproducible) practice “research hygiene”
    • building capacity locally (join us.)
    • focus on building capacity, not just more nodes.
    • (4)
    • shifting practice (and getting it to stick) is challenging. ... but not impossible.
    • 63 nations 10,000 scientists 50,000 participants can we do the same for research on the web?
    • tools and technology cultural awareness, best practice connections, open dialogue skills training what are the necessary components?
    • Source: Piwowar, et al. PLOS.
    • (5)
    • the future is here ... it’s just not evenly distributed. - william gibson “ “
    • operating in isolation doesn’t scale.
    • coordination is key. open as an accelerant. build capacity, community.
    • join us (and the conversation.) teach, contribute, learn. http://software-carpentry.org http://mozillascience.org
    • kaitlin@mozillafoundation.org @kaythaney ; @mozillascience special thanks: