Sharing FAIR Data on COVID research at Photon and Neutron Facilities

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26 Jan 2021
Meeting objectives: 

Collaborative session notes: https://docs.google.com/document/d/1lhqRyw9W1q0So_CMES7zF93xy2ziQ3GrPBX07Y4T10E/edit?usp=sharing

Photon and Neutron Facilities are making a significant contribution to the world-wide research effort into the causes and effects of the SARS-COVID-19 virus.  The facilities’ high-resolution instruments have enabled detailed investigation of molecular structures and drug targets, infection pathways and pathological tissue changes by offering experimental techniques like x-ray crystallography, electron-microscopy and other highly advanced experimental methods.   Photon and Neutron facilities thus constitute one of the most significant engines driving experimental research into the virus.

In order to make this data available for researchers across institutions and also available for long-term studies, facilities data is managed, archived and published within the facilities data infrastructures, policies and processes, and facilities have been evolving these over the last 15 years.   The SARS-COVID-19 research has accentuated the need for this data sharing process to be responsive and comprehensive so that the research results can be made available and reusable to as widely and as quickly as possible, while respecting the intellectual contribution of researchers.  Thus P&N facilities have been exploring how to enhance the support for FAIR data within their infrastructures; two recent initiatives which have activities which are dedicated to promoting FAIR data in facilities are the European PaNOSC and ExPaNDS projects, both within the European Open Science Cloud programme.

The RDA-COVID19 working groups have jointly issued recommendations on data sharing - (https://www.rd-alliance.org/system/files/RDA%20COVID-19%3B%20recommendations%20and%20guidelines%2C%205th%20release%20%28final%20draft%29%2028%20May%202020.pdf). Some of these recommendations directly address research involving P&N facilities in its primary analysis, while other recommendations form part of the wider environment in which that research sits.  In this session, we will discuss and explore those recommendations and how they affect the practise of the research supported by facilities and its future evolution to support FAIR data.

 

In this session we will:

 

  • Explore how use cases on COVID research within facilities’ science support FAIR data sharing.

  • Share the recommendations of the RDA-COVID19 Groups with the P&N community and discuss their application to P&N facility enabled research

  • Feedback from the P&N community on the recommendations of the RDA-COVID19 groups 

 

An outcome could be revised guidelines for P&N facilities on locating and sharing their data relevant to the SARS-COVID-19 epidemic.

Meeting agenda: 

A draft programme would be as follows.

Short talks with potential presenters (c. 10 minutes each):

  • FAIR data and facilities  - Abigail McBirnie (STFC),

  • Recommendations of the RDA-COVID19 Group - Rob Hooft (DTL), Juan Bicarregui (STFC)

  • Examples of Data Sharing of COVID19 Research Data at P&N Facilities

    • Line Pouchard (Brookhaven National Laboratory)

    • Graeme Winter (Diamond Light Source)

    • Gianluca Santoni (ESRF)

    • Darren Sherrell (Advanced Photon Source)

  • The COVID-19 Data Portal - Katharina Lauer (Elixir)

Open Discussion on recommendations for sharing of COVID19 research data from P&N facilities.

Location: Breakout 8: https://rda-idcc.junolive.co/live/breakouts/ig_research_data_needs_of_th...

Target Audience: 
  • Data managers and infrastructure providers within P&N Facilities

  • Researchers and data analysts within research communities undertaking COVID19 research

  • Data managers and infrastructure providers within life science communities.

Group chair serving as contact person: 
Brief introduction describing the activities and scope of the group: 

Research data needs of the Photon and Neutron Science community Interest Group (PaNSIG) focuses on data related issues of science applications associated with large scale source facilities, including: synchrotron x-ray sources, free-electron laser x-ray sources, reactor and spallation neutron sources, muon sources, large electron microscopes, NMR and high-powered laser facilities, which are used typically for investigations into the structure of matter at micro or nano scale.  

These facilities are characterised by a central facility providing access to scarce and specialised instruments which are typically beyond the means of single research groups, and are thus shared and used by many research teams to conduct experiments.  These experiments come from a wide range of disciplines including chemistry, biochemistry, pharmaceuticals, biology, metallurgy, engineering, materials science, palaeontology and archaeology. The user communities are rather heterogeneous, volatile and globally distributed. Issues to be tackled are hence bound to be global and interdisciplinary requiring a decent level of standardization and interoperability.

Short Group Status: 

The PaNSIG group has been established for several years as a forum for bringing together the P&N community to discuss issues in best practise in research data management and sharing for its community and to engage and interact with the other groups and activities within  RDA.

Estimate of the required room capacity (Hybrid plenary): 
30
Type of Meeting: 
Informative meeting
Remote participation availability (only for physical Plenaries): 
Yes
Avoid conflict with the following group (1): 
Avoid conflict with the following group (2): 
Avoid conflict with the following group (3): 
Are you willing to hold your session at multiple times to accommodate various time zones?: 
No
Please indicate the breakout slot (s) that would suit your meeting: 
Breakout 2
Breakout 4
Breakout 5
Breakout 8
How do you prefer to hold the virtual component of your session: 
live
Do any of the session speakers plan to present from the venue?: 
Remote presentations only
Contact for group (email):