RDA/CODATA Materials Data, Infrastructure & Interoperability IG

Status: Recognised & Endorsed

The development of advanced materials inherently rests on access to a distributed materials infrastructure and materials research data to fuel discovery and innovation.  RDA aims to accelerate and facilitate research data sharing and exchange. Similarly, CODATA works to strengthen international science for the benefit of society by promoting improved scientific and technical data management and use.  Given these complementary missions, this RDA IG and the CODATA TG will work together under the following statement in support of the exchange of material data.  

The success of the scientific endeavor rests on the foundation of free and open exchange of ideas and supporting data.   We believe this kind of exchange with computational and experimental materials data through shared online repositories, standardized formats and terminologies and open programming interfaces is essential to accelerating the discovery, design, and development of advanced materials.  Making this data widely and freely available, as a "public good", creates increased opportunities for conducting fundamental research while facilitating potential commercial development activity of data-based services, tools, and applications.  It therefore follows that it is in the scientific and economic interest of all countries to operate under this framework of free and open data exchange to the greatest extent possible, in such cases where it does not infringe on intellectual property  or national security.
 

Contact persons for this group:

• James Warren (National Institute of Standards and Technology, USA)
  james.warren@nist.gov
   
• Laura Bartolo (Northwestern University, USA)
  laura.bartolo@northwestern.edu
   
• Takuya Kadohira (Asia) Group Leader, NIMS  
  kadohira.takuya@nims.go.jp
   
• Matthew Evans (EU) Postdoctoral Researcher, Universitè catholique de Louvain                                                                                                                                                                  rda@ml-evs.science                                                                                                                                                                                                                                                                                
• Alysia Garmulewicz(South America),  Profesora Asociada, Universidad de Santiago de Chile 
  agarmulewicz@gmail.com