[Open-access] [open-science] OKF tools: ckan.org, thedatahub.org

Thu Apr 5 14:19:30 UTC 2012

Hi,

I am following this discussion with great interest.
The ideas that are described concerning Escience collaborating communities
match the views that I have expressed in my blog on open science
communities<http://access.okfn.org/2012/03/20/scientific-social-networks-are-the-future-of-science/>on
access.okfn.org.
In my view we could build such an infrastructure using the @ccess
communities proposed on our website and possibly an @ccess foundation
funded by external parties lke EU, Welcome, Gates Foundation etc.
These ideas are part of the strategy behind the @ccess initiative.

Tom Olijhoek
Open Access Initiative[ @ccess]

On Wed, Apr 4, 2012 at 3:56 AM, Carl Boettiger <cboettig at gmail.com> wrote:

> Peter is certainly right about the huge & growing demand for data
> repositories.  Forgive the cut & paste below, but for US based among us at
> least, the NSF has just put out a call<http://www.nsf.gov/pubs/2012/nsf12499/nsf12499.htm?WT.mc_id=USNSF_179>for small ($250K) and medium ($1M) grants to do something like this.  In my
> opinion it's not a bad checklist.  Of course as this thread has already
> highlighted, half of the battle is just knowing what's already out there
> and getting it adopted...
>
>
>    1. * E-science collaboration environments (ESCE).* A comprehensive
>    "big data" cyberinfrastructure is necessary to allow for broad communities
>    of scientists and engineers to have access to diverse data and to the best
>    and most usable inferential and visualization tools. Potential research
>    areas include, but are not limited to:
>
>
>    - Novel collaboration environments for diverse and distant groups of
>    researchers and students to coordinate their work (e.g., through data and
>    model sharing and software reuse, tele-presence capability, crowdsourcing,
>    social networking capabilities) with greatly enhanced efficiency and
>    effectiveness for the scientific collaboration;
>    - Automation of the discovery process (e.g., through machine learning,
>    data mining, and automated inference);
>    - Automated modeling tools to provide multiple views of massive data
>    sets that are useful to diverse disciplines;
>    - New data curation techniques for managing the complex and large flow
>    of scientific output in a multitude of disciplines;
>    - Development of systems and processes that efficiently incorporate
>    autonomous anomaly and trend detection with human interaction, response,
>    and reaction;
>    - End-to-end systems that facilitate the development and use of
>    scientific workflows and new applications;
>    - New approaches to development of research questions that might be
>    pursued in light of access to heterogeneous, diverse, big data;
>    - New models for cross-disciplinary information fusion and knowledge
>    sharing;
>    - New approaches for effective data, knowledge, and model sharing and
>    collaboration across multiple domains and disciplines;
>    - Securing access to data using innovative techniques to prevent
>    excessive replication of data to external entities;
>    - Providing secure and controlled role-based access to centrally
>    managed data environments;
>    - Remote operation, scheduling, and real-time access to distant
>    instruments and data resources;
>    - Protection of privacy and maintenance of security in aggregated
>    personal and proprietary data (e.g., de-identification);
>    - Generation of aggregated or summarized data sets for sharing and
>    analyses across jurisdictional and other end user boundaries; and
>    - E-publishing tools that provide unique access, learning, and
>    development opportunities.
>
>
>
> On Tue, Apr 3, 2012 at 1:33 PM, Peter Murray-Rust <pm286 at cam.ac.uk> wrote:
>
>>
>>
>> On Tue, Apr 3, 2012 at 8:34 PM, Rufus Pollock <rufus.pollock at okfn.org>wrote:
>>
>>> On 2 April 2012 23:21, Tom Roche <Tom_Roche at pobox.com> wrote:
>>> >
>>> > Jessy Kate Schingler Mon, 2 Apr 2012 11:23:52 -0700 (rearranged)
>>> >> is there a reason people find ckan/thedatahub insufficient for data
>>> >> management needs?
>>>
>>
>> I am really keen we look at this oportunity. There is a huge and growing
>> demand for scientific data repositories and I'd like to see if CKAN/DataHub
>> can meet this. There has to be an Open offering so the OKF is the natural
>> place - who else?
>>
>> So maybe we need a brainstorming day to work out what the problems are,
>> what we can offer and then - if they click - whether we can sell the idea
>> to receptive funders (RCUK, Wellcome - EBI, etc.)
>>
>> FWIW I am giving a plenary at Rome next week on "Open Infrastructure for
>> Open Science" and if we had a clear position I could advertise it.
>>
>> P.
>>
>>
>> --
>> Peter Murray-Rust
>> Reader in Molecular Informatics
>> Unilever Centre, Dep. Of Chemistry
>> University of Cambridge
>> CB2 1EW, UK
>> +44-1223-763069
>>
>> _______________________________________________
>> open-science mailing list
>> open-science at lists.okfn.org
>> http://lists.okfn.org/mailman/listinfo/open-science
>>
>>
>
>
> --
> Carl Boettiger
> UC Davis
> http://www.carlboettiger.info/
>
>
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>
>
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