Digital Innovators

Astronomical Open Research Data Analysis Services (AstroORDAS)

Date: 10 mai 2023 – 12h30-13h30

Astronomical Open Research Data Analysis Services (AstroORDAS)

Modern astronomy faces an avalanche of diverse data, sometimes further complicated by the need for immediate and necessarily automated reaction on elusive cosmic phenomena. Furthermore, previously disjointed astrophysical research communities recently reached a stage where they routinely combine their efforts to address shared scientific challenges, leading to emergence of multi-messenger astrophysics. A scientist tackling the nature of astrophysical objects while facing this broad, rapidly changing landscape may often find it difficult to effectively employ their scientific intuition, make progress, and share their discoveries while maintaining and improving on veracity and reproducibility of scientific results.

In the AstroORDAS project we are building tools empowering researchers to leverage vast and diverse astronomical Open Research Data. We are doing this by supporting Astrophysical Data Centers with an ecosystem of cloud-based services and technologies serving to provide added value to the data with the aim to implement the Findable Accessible Interoperable Reusable (FAIR) principles in collection, elaboration, and dissemination of research artifacts, building upon our Multi-Messenger Online Data Analysis (MMODA) platform. 

Our collaboration supports data centers for several space-based missions and ground-based observatories. We are extending MMODA to new data analysis types and integrating it with the emerging world-wide network of online astronomical ORD Analysis Services (ORDAS).

To foster interoperability, we use and develop schemas, vocabularies, ontologies, and models based on semantic linked data and knowledge graphs, leveraging them as a foundational element of the platform and service development. 

In our work we pay particular attention to finding synergies with complementary projects on local, national and international level, recognizing that collaboration and integration is at the core of our project philosophy.

Volodymyr Savchenko shares a position between adjoint scientifique in UNIGE, Department of Astronomy, and data scientist in EPFL, LASTRO. He has many years of experience supporting operations of astronomical data centers with a particular focus on building services and platforms allowing Open Research Data to be leveraged by researchers and automated systems. He leads Multi-Messenger research studies with INTEGRAL satellite, and in this context designed platforms and automation which lead to high-impact astrophysical discoveries.

He obtained his degree in theoretical particle physics in Taras Shevchenko University in Kyiv in 2007 and PhD in Geneva University in
2012 followed by a post-doctoral research in University of Paris 7, APC, before returning to Geneva in 2017. Since 2022 he also joined EPFL and is now sharing his time between INTEGRAL Science Data Center, CTA Observatory Swiss Data Center, SKA SRC, EuroScienceGateway EOSC project, and AstroORDAS project.


Télécharger la présentation

Revoir le séminaire