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Mozilla Science Lab Promotes Data Reproduction Through Open Access: Report from 9/10/2015 Online Meeting

Posted in Academic Publishing, Curation, Experimental validation, Methods, Open Access Journals, REAL TIME Conference Coverage Twitter's Hashtags and Handles per Presentation/session, Scientific & Biotech Conferences: Press Coverage, tagged @MozillaScience, Aviva Lev-Ari, biocuration, Content Curation, curated database, Mozilla, Open access journal, Open data, Reproducibility, research, review of data, science, Scientific Debate, scientific discovery, scientific networks, scientific validation, test validation on September 10, 2015| Leave a Comment »

Mozilla Science Lab Promotes Data Reproduction Through Open Access: Report from 9/10/2015 Online Meeting

Reporter: Stephen J. Williams, Ph.D.

Mozilla Inc. is developing a platform for scientists to discuss the issues related to developing a framework to share scientific data as well as tackle the problems of scientific reproducibility in an Open Access manner. According to their blog

https://blog.mozilla.org/blog/2013/06/14/5992/

We’re excited to announce the launch of the Mozilla Science Lab, a new initiative that will help researchers around the world use the open web to shape science’s future.

Scientists created the web — but the open web still hasn’t transformed scientific practice to the same extent we’ve seen in other areas like media, education and business. For all of the incredible discoveries of the last century, science is still largely rooted in the “analog” age. Credit systems in science are still largely based around “papers,” for example, and as a result researchers are often discouraged from sharing, learning, reusing, and adopting the type of open and collaborative learning that the web makes possible.

The Science Lab will foster dialog between the open web community and researchers to tackle this challenge. Together they’ll share ideas, tools, and best practices for using next-generation web solutions to solve real problems in science, and explore ways to make research more agile and collaborative.

On their blog they highlight various projects related to promoting Open Access for scientific data

On September 10, 2015 Mozilla Science Lab had their scheduled meeting on scientific data reproduce ability. The meeting was free and covered by ethernet and on social media. The Twitter hashtag for updates and meeting discussion is #mozscience (https://twitter.com/search?q=%23mozscience )

Open Access Meeting Announcement on Twitter

https://twitter.com/MozillaScience/status/641642491532283904

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Mozilla Science Lab @MozillaScience

Join @khinsen @abbycabs + @EvoMRI tmrw (11AM ET) to hear about replication, publishing + #openscience. Details: https://etherpad.mozilla.org/sciencelab-calls-sep10-2015 …

AGENDA:

Mozilla Science Lab Updates

Staff welcomes and thank yous:

Welcoming Zannah Marsh, our first Instructional Designer

Workshopping the “Working Open” guide:
- Discussion of Future foundation and GitHub projects
- Discussion of submission for open science project funding

Contributorship Badges Pilot – an update! – Abby Cabunoc Mayes – @abbycabs

site: http://badges.mozillascience.org/

Roadmap: https://github.com/mozillascience/paperbadger/issues/17

Will be live on GigaScience September 17th!

Where you can jump in: https://github.com/mozillascience/paperbadger/issues/17
Questions regarding coding projects – Abby will coordinate efforts on coding into their codebase
The journal will publish and authors and reviewers get a badge and their efforts and comments will appear on GigaScience: Giga Science will give credit for your reviews – supports an Open Science Discussion

Roadmap for

http://mozillascience.github.io/leadership-training/

Fellows review is in full swing!

MozFest update:

Miss the submission deadline? You can still apply to join our Open Research Accelerator and join us for the event (PLUS get a DOI for your submission and 1:1 help)

https://www.mozillascience.org/coming-to-mozfest-2015-open-research-accelerator

A discussion by Konrad Hinsen (@khinsen) on ReScience, a journal focused on scientific replication will be presented:

ReScience – a new journal for replications – Konrad Hinsen @khinsen

Background: http://rescience.github.io/

ReScience is dedicated to publishing replications of previously published computational studies, along with all the code required to replicate the results.

ReScience lives entirely on GitHub. Submissions take the form of a Git repository, and review takes place in the open through GitHub issues. This also means that ReScience is free for everyone (authors, readers, reviewers, editors… well, I said everyone, right?), as long as GitHub is willing to host it.

ReScience was launched just a few days ago and is evolving quickly. To stay up to date, follow @ReScienceEds on Twitter. If you want to volunteer as a reviewer, please contact the editorial board.

The ReScience Journal Reproducible Science is Good. Replicated Science is better.

ReScience is a peer-reviewed journal that targets computational research and encourages the explicit reproduction of already published research promoting new and open-source implementations in order to ensure the original research is reproducible. To achieve such a goal, the whole editing chain is radically different from any other traditional scientific journal. ReScience lives on github where each new implementation is made available together with the comments, explanations and tests. Each submission takes the form of a pull request that is publicly reviewed and tested in order to guarantee any researcher can re-use it. If you ever reproduced computational result from the literature, ReScience is the perfect place to publish this new implementation. The Editorial Board

Notes from his talk:

– must be able to replicate paper’s results as written according to experimental methods

– All authors on ReScience need to be on GitHub

– not accepting MatLab replication; replication can involve computational replication;

Research Ideas and Outcomes Journal – Daniel Mietchen @EvoMRI
- Postdoc at Natural Museum of London doing data mining; huge waste that 90% research proposals don’t get used so this journal allows for publishing proposals
- Learned how to write proposals by finding a proposal online open access
- Reviewing system based on online reviews like GoogleDocs where people view, comment
- Growing editorial and advisory board; venturing into new subject areas like humanities, economics, biological research so they are trying to link diverse areas under SOCIAL IMPACT labeling
- BIG question how to get scientists to publish their proposals especially to improve efficiency of collaboration and reduce too many duplicated efforts as well as reagent sharing
- Crowdfunding platform used as post publication funding mechanism; still in works
- They need a lot of help on the editorial board so if have a PhD PLEASE JOIN