Data Together: Fostering Cooperation Among Open Science Platforms

“In alignment with RDA’s core mission to ‘set international Research Data and Protocol agreements and standards’11 , the RDA Global Open Research Commons Interest Group (GORC IG)12 is helping to support coordination amongst regional, national, pan-national and domain-specific organizations. Those organizations are developing the interoperable resources necessary to enable researchers to address societal grand challenges across disciplines, technologies and countries….

The Global Open Science Cloud (GOSC)13 initiative has its roots in the same series of meetings. It was proposed in 2019 at the CODATA conference in Beijing with the objective to assist the alignment and interoperation of open science cloud activities. GOSC aims to co-design and build a cross-continental, federated e-infrastructure and virtual research environment for global cooperation and open science using harmonized policies, interoperable protocols and transparent services. Network connectivity, secure AAI (Authentication and Authorization Infrastructure), computing federation, FAIR data, and policy alignment are the key components….

 While the GORC initiative focuses on a roadmap for commons integration, the GOSC is creating a cooperation mechanism and testbed implementations for science clouds that arise from that roadmap. Developing and sustaining collaboration between GORC and GOSC, through the Data Together partnership will enhance the impact of each initiative and result in sustainable benefits for the wider research community. In addition, members of the Data Together group are working with the various platforms to convene a roundtable of senior representatives from the organizations to facilitate these efforts.”

» Data Together: Fostering Cooperation Among Open Science Platforms

“Collectively referred to as Data Together, the four collaborating international data organisations—CODATA, GO FAIR, RDA, WDS—have a joint commitment (published in March 2020) to work together to optimise the global research data ecosystem and to identify opportunities that will trigger federated infrastructures to service the new reality of data-driven science.

These infrastructures are typically referred to as science clouds or platforms, or research commons, and can be defined at a high level as forming a global trusted ecosystem that provides seamless access to high quality interoperable research outputs and services. Science clouds and commons are developing around the world to address the need for infrastructures to support cross-geographical and cross-disciplinary open science.

Both CODATA and RDA have major initiatives to work with the development of such open research infrastructures: CODATA’s Global Open Science Cloud (GOSC) and RDA’s Global Open Research Commons (GORC), developed in collaboration with the WDS. These came out of a series of meetings held at International Data Week, RDA Plenaries, CODATA Conferences and the FAIR Convergence Symposium, and ultimately include all the Data Together organisations as partners. The GOSC and GORC initiatives aim to encourage cooperation, alignment and interoperability among these infrastructures….”

» FAIR Convergence Sessions

“The theme of this symposium is convergence around ideas and implementations of FAIR.  Throughout the week we will explore a range of activities which seem to be gaining influence, agreement and traction.  A number of these will be introduced in Plenary Sessions 3: FAIR Convergence (Mon 30 Nov at 12:00-13:00 UTC).  Watch the prerecorded presentations from the whole panel here.

 
The panel will discuss the central importance of FAIR Digital Objects (Luiz Bonino, GO FAIR); the contribution that can be made by FAIR Implementation Profiles (Erik Schultes, GO FAIR, and Barbara Magagna, Austrian Environment Agency); the role of FAIR Vocabularies and how these can be technically presented, maintained, governed and sustained (Alejandra Gonzalez-Beltran, STFC, and Simon Cox, CSIRO); the contribution which may be made by the approach taken by DDI-CDI to describing individual variable and tracking provenance (Arofan Gregory, Standards Consultant); and the fundamental need for interoperable units of measure (Bob Hanisch, NIST)….”

» UNESCO Open Science Recommendation

“Following exchanges on the CODATA International Discussion list  CODATA agreed to coordinate a joint response from a number of data and information organisations.  That document—Open Science for a Global Transformation—was submitted to UNESCO on 15 June and, following minor editorial adjustments, is now published here: https://doi.org/10.5281/zenodo.3935461 …”

» UNESCO Open Science Recommendation

“Following exchanges on the CODATA International Discussion list  CODATA agreed to coordinate a joint response from a number of data and information organisations.  That document—Open Science for a Global Transformation—was submitted to UNESCO on 15 June and, following minor editorial adjustments, is now published here: https://doi.org/10.5281/zenodo.3935461 …”

How to get published and best practice for open research

“Looking for advice or guidance on publishing your article in an academic journal? How do you pick the right journal? Not sure what to expect in peer review? Worried about publishing costs? Should you choose open access? What about open research and data sharing?

This presentation and Q&A session will cover hints and tips on the process of publishing a journal article in an academic journal and current advice and best practice in regard to open research practices. Suitable for those considering their first publication, or those who have already published a few articles and now have questions based on their experience….”

» Essay Competition: Open Data Challenges to Address Global and Societal Issues

“The first of its kind, CODATA Connect Early Career and Alumni Network in collaboration with the CODATA Data Science Journal (DSJ) is organizing an Essay Competition for Early Career Researchers (ECR), defined as university undergraduate, graduate, post-graduate students or early career researchers within five years of completing their highest qualification. CODATA Connect exists to ensure a structural and sustained collaboration and support for the activities of the alumni of CODATA-RDA Summer Schools, of the CODATA China and Trieste Training Workshops and other early career researchers and data professionals involved in the CODATA community and those of partner organisations.

Topic for the Essay: “Open Data Challenges to Address Global and Societal Issues”  …”

» Essay Competition: Open Data Challenges to Address Global and Societal Issues

“The first of its kind, CODATA Connect Early Career and Alumni Network in collaboration with the CODATA Data Science Journal (DSJ) is organizing an Essay Competition for Early Career Researchers (ECR), defined as university undergraduate, graduate, post-graduate students or early career researchers within five years of completing their highest qualification. CODATA Connect exists to ensure a structural and sustained collaboration and support for the activities of the alumni of CODATA-RDA Summer Schools, of the CODATA China and Trieste Training Workshops and other early career researchers and data professionals involved in the CODATA community and those of partner organisations.

Topic for the Essay: “Open Data Challenges to Address Global and Societal Issues”  …”

The Beijing Declaration on Research Data

Grand challenges related to the environment, human health, and sustainability confront science and society. Understanding and mitigating these challenges in a rapidly changing environment require data[1] to be FAIR (Findable, Accessible, Interoperable, and Reusable) and as open as possible on a global basis. Scientific discovery must not be impeded unnecessarily by fragmented and closed systems, and the stewardship of research data should avoid defaulting to the traditional, proprietary approach of scholarly publishing. Therefore, the adoption of new policies and principles, coordinated and implemented globally, is necessary for research data and the associated infrastructures, tools, services, and practices. The time to act on the basis of solid policies for research data is now.

The Beijing Declaration on Research Data

Grand challenges related to the environment, human health, and sustainability confront science and society. Understanding and mitigating these challenges in a rapidly changing environment require data[1] to be FAIR (Findable, Accessible, Interoperable, and Reusable) and as open as possible on a global basis. Scientific discovery must not be impeded unnecessarily by fragmented and closed systems, and the stewardship of research data should avoid defaulting to the traditional, proprietary approach of scholarly publishing. Therefore, the adoption of new policies and principles, coordinated and implemented globally, is necessary for research data and the associated infrastructures, tools, services, and practices. The time to act on the basis of solid policies for research data is now.