[CODATA-international] Fwd: CODATA 2017 session proposal

[Simon CODATA]

Dear colleagues,

Sarah Callaghan is organising a session at the CODATA 2017 International Conference http://codata2017.gcras.ru/ on the theme of Research data - a multi-dimensional peg in academic publishing’s square hole?

She has asked me to publicise this session and to invite interested participants to 1) contact her (in cc) and to submit abstracts of your paper at http://conference.codata.org/2017/ - noting in the abstract that it is intended for a session on Data Publication.

We look forward to hearing from you and to a stimulating session in October in Saint-Petersburg.

With very best wishes,

Simon.
___________________________

CODATA 2017 International Conference, ‘Global Challenges and Data-Driven Research’, Saint-Petersburg, 8-13 October, submit proposals for sessions and papers, deadline 28 July: http://conference.codata.org/2017/

What has CODATA delivered recently? See the CODATA Prospectus: Strategy and Achievement, 2015-2016 https://doi.org/10.5281/zenodo.165830
___________________________
Dr Simon Hodson | Executive Director CODATA | http://www.codata.org

E-Mail: simon at codata.org | Twitter: @simonhodson99 | Skype: simonhodson99
Tel (Office): +33 1 45 25 04 96 | Tel (Cell): +33 6 86 30 42 59

CODATA (Committee on Data of the International Council for Science), 5 rue Auguste Vacquerie, 75016 Paris, FRANCE


> Begin forwarded message:
> 
> From: Sarah Callaghan <sarah.callaghan at STFC.AC.UK>
> Subject: CODATA 2017 session proposal
> Date: 16 June 2017 at 16:17:13 CEST
> To: DATA-PUBLICATION at JISCMAIL.AC.UK
> Reply-To: sarah.callaghan at STFC.AC.UK
> 
> Dear All,
>  
> I will be proposing the following session for CODATA 2017 http://codata2017.gcras.ru/ <http://codata2017.gcras.ru/>
> 
> If your abstract fits in with this session, then please do mention it when you submit the abstract.
>  
> All the best,
> Sarah
>  
> Title
> Research data - a multi-dimensional peg in academic publishing’s square hole?
>  
> Format of the session
> (http://conference.codata.org/site/session-types/ <http://conference.codata.org/site/session-types/> )
> Mixed paper session  
>  
> Conference themes
> (http://conference.codata.org/site/themes-scope/ <http://conference.codata.org/site/themes-scope/>)
> From list of conference themes:
> ·         Coordination of Data Standards and Interoperability;
> ·         FAIR Data and the Limits of Open Data;
> Potentially new theme:
> ·         Data as a first class research object
> Session description 
>  
> In order to manage, use and validate research data, several mental models of data have arisen across research communities in recent years. Whether those are the “Big Iron” (industrialised processes for producing and managing data) or the “data as a paper” method for validating, attributing and assigning credit, data can be pushed into a model that does not capture the full variety of behaviours and intricacies, but can provide useful shortcuts and prior experience with which to build new systems and communicate with stakeholders. All of these models are imperfect, but many are useful - the problems arise when one model is deemed to be superior, or more valuable than the others, thereby giving the perception that the datasets that don’t fit easily into that model are somehow inferior or flawed.
> Data publication has been proposed as a method for validating, publicising and attributing research data, and has, in recent years, become more well known in the research community, especially given the proliferation of data journals. Not all datasets are suitable for publication in such a way, however, due to a combination of factors including (but not limited to) the long term or dynamic nature of the dataset, the confidentiality and privacy of the data source(s), and potentially the sheer size of the dataset. Yet researchers still want to be able to discover, understand and use these datasets, secure in the knowledge that quality control and verification of the data have been carried out. Similarly, researcher funders wish to ensure that Open Data and other data management mandates have been adhered to.
> This session aims to discuss data publication from the point of view of new tools and services to make publishing data easier and more effective, as well as self-sustainable. But it also seeks to identify other models to not only promote data as a first class research output, providing the description, validation and attribution functions for data which are currently associated with academic journal publication of research results, but also to deal with the reproducibility crisis, and to protect the integrity of the scientific record.
>  
>  
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Dr Sarah Callaghan MInstP CPhys FRMetS
> Centre for Environmental Data Analysis
> STFC - Rutherford Appleton Laboratory
> Chilton, Didcot, Oxfordshire
> OX11 0QX, United Kingdom
>  
> Telephone +44 (0)1235 445770
> Mobile +44 (0) 7717581726
> Fax +44 (0)1235 446140
>  
> ORCID: 0000-0002-0517-1031
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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