Materials data collection and systematization that initially used traditional means of data publication then acquired a status of a discipline of its own and much accelerated with the advent of computers. The proliferation of Big Data in materials characterization added up to the requirement of having scalable and interoperable data infrastructures for materials research and innovation.
Extensive documentary and material properties databases laid a foundation for machine-assisted data harvesting, data analysis and data repurposing. Design of new materials with the predefined functional properties, and matching in silico models with experimental data have become a reality across the globe and inspired a few national initiatives in materials genome.
The progress of information technology has made it possible to not only use computers for data management and data analysis, but also made computers a viable tool for experimentation on par with physical and chemical experiments. Powerful software platforms and high quality simulated data are now prime citizens in many research and innovation settings.
The domains of materials data infrastructures, materials data analysis and materials in silico experiments have accumulated thriving communities that enjoy regular gatherings and have dedicated professional bodies for ongoing discussions. There is a lack of a common forum though with the prime purpose of multilateral and mutually beneficial discussions across all three communities.
The DACOMSIN workshop is going to address this communication gap and bring together professionals from across research and innovation to share their experience and perspectives of using information technology and computer science for materials data management, analysis and simulation.
The first DACOMSIN workshop took place on 15th October 2019 in DAMDID (Data Analytics and Managagement in Data Intensive Domains) conference. You can take a look at presentations and posters shared by the workshop participants.in Moscow and was a part of