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CODATA is pleased to welcome Matthew Mayernik as Joint Editor-in-Chief of the Data Science Journal, joining Mark Parsons who has been Editor- in-Chief since 2019. Beginning 1 September, Matt and Mark will work as co-equals to collaborate around the duties of the Editor-in-Chief.

Mark writes: 
I am thrilled that Matt will be joining me as Joint Editor-in-Chief. I have known Matt for a decade or so, and have always admired his holistic yet precise and insightful views of the “science of data”. Matt has been a long-time, dedicated member of the DSJ editorial board. He is responsible and productive, but more importantly, Matt is thoughtful and considered in his work. It will be fun to work with him.

Matt writes:
I am very excited to join Mark Parsons as co-Editor in Chief of the Data Science Journal. I have long felt that the DSJ has a unique role in the data science publication landscape, with its focus on the "data" part of data science. The journal has been instrumental in advancing the science of data broadly, including data system design and implementation, analytics and visualization, metadata and standards, and data policies. This broad view of data science is critical as data continues to grow in importance in all sectors of our societies. I look forward to working with Mark, the DSJ editorial board and staff, and CODATA to move the journal forward.

BIO
Matthew Mayernik is a Project Scientist and Research Data Services Specialist at the National Center for Atmospheric Research (NCAR), based in Boulder, CO, USA. His work is focused on research and service development related to research data curation. His professional interests include metadata practices and standards, data curation education, data citation and identity, and social and institutional aspects of research data. He is also a member of the Committee on Open Environmental Information Services (COEIS) within the American Meteorological Society. He received his Master's in Library and Information Science and Ph.D. in Information Studies from the University of California, Los Angeles (UCLA).

CODATA and the DSJ editor have decided that we need to increase our publication fees for the Data Science Journal to £650. This is to cover increasing costs, more rigorous copyediting, support for the editorial board and to contribute to our waiver fund. Waivers are available for authors who are unable to meet the cost of the APC, especially early-career researchers and practitioners and those from low to middle income countries.  The agreement with Ubiquity allows us to grant waivers for up to 10% of published articles.  CODATA also contributes to the waiver fund to provide additional waivers (above the 10%).

The global data community, led by the World Data System of the International Science Council (WDS), organized the International Symposium on ‘Global Collaborations on Data beyond Disciplines’ on 23–25 September 2020 (https://ds.rois.ac.jp/article/dsws_2020/). This online conference was conducted whilst the world was in the grips of the COVID-19 pandemic. The significance of multidisciplinary approaches to data management and of Open Data were comprehensively discussed by participants. Many presentations highlighted the close connection between data-oriented activities and society. Examples included mitigating against detrimental environmental changes, disasters, and health crises worldwide, including the large efforts to combat COVID-19. An overriding conclusion of the symposium is the vital role of data scientists in developing multidisciplinary data systems that can contribute to solving the pressing problems faced by society; in particular, the achievement of the United Nations Sustainable Development Goals that necessitates the integration of multiple sources of data. This proposed ‘Special collection’ will include article submissions that outline best practices for developing data systems and data analysis procedures from a multidisciplinary viewpoint. Contributions are not restricted to presenters at the symposium or to any specific region, rather the editors welcome submissions from anyone globally for whom the symposium themes resonate.

Guest Editors

• Tomoya Baba (Research Organization of Information and Systems)

• Rorie Edmunds (International Programme Office of the World Data System)

• Elaine Faustman (University of Washington)

• Masaki Kanao (Research Organization of Information and Systems)

• Juanle Wang (China Academy of Science; Editorial Board of the Data Science Journal)

Deadline of Article Submission: 31 March 2021

Final Publishing Online for All Articles: 31 December 2021 (provisional)