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The Data Science Journal (https://datascience.codata.org/) is seeking papers for a special collection devoted to “Data Management Planning across Disciplines and Infrastructures”. Papers should focus on work related to Data Management Plans and their implementation, not data management per se.

Deadline for submissions: November 15th, 2022.

Details:
Data Management Plans (DMPs) are evolving. Several communities address challenges in developing DMP templates, e.g., to provide proper guidance across disciplines, used collaboratively along the data life cycle, or in the development of machine-actionable tools to facilitate efficient data management and sharing as well as fostering the reuse of (pieces) of already existing DMPs in new research context. Thereby, DMP templates do not only have to provide tailored guidance, but they should also ensure interoperability across research disciplines to foster multidisciplinary research. Although DMPs support the management of research data, DMP tools are often not integrated into researchers’ project workflows yet, but serve as an additional component next to project management software, electronic lab notebooks, metadata tools, etc..

The international Data Science Journal seeks papers describing practical experiences, concepts, and future directions on the design and deployment of effective data management. Journal’s topics cover hypothesis and investigation planning, data management planning, organization and operation, reproducibility planning, provenance recording, and data maintenance and publication are considered in their entirety.

For the collection, we welcome papers from researchers, data professionals, data managers and curators, data providers, founders, IT specialists, software developers, and others, who are using, developing, or experimenting with the effective use of data management planning. Submissions from lab researchers and practitioners are particularly encouraged, as contributions from open-source movements. Papers might, e.g., focus core activities of experimentation, data processing and analysis, long-term preservation or data sharing, or consider the integration of data management planning into existing or future infrastructures. This could reflect innovative research into new directions for DMPs. Moreover, papers detailing practical examples on supporting researchers are welcomed.

Submissions can be made in one or several of the following categories:

1. implementation of DMPs in project management strategies, e.g. combining DMP update cycles with (agile) project management, development of practicable implementing strategies in projects, e.g., by data stewards or data managers, or automatic triggers between linked tools / systems, e.g., CRIS system updating DMP once funding has been awarded
2. data management across disciplines, examining interoperability and cross-disciplinary (re-)use of Data Management Plans, as, e.g., intended by the FAIR Data Principles, e.g., in the context of templates and guidance
3. discipline-specific data management planning, providing examples and/or use cases on how discipline-specific support can foster data management and processing of data following the FAIR Data Principles, e.g., in the context of Science Europe’s domain data protocols,
4. data management planning integrating infrastructures, presenting DMP tools, machine-actionable DMPs, concepts of mapping and harvesting, connecting DMP tools to interfaces of other RDM tools such as Current Research Information Systems (CRIS) and Electronic Lab Notebooks (ELN), FAIR Digital Objects in the context of DMPs, etc.
5. future directions in the development of Data Management Plans, e.g., in terms of innovative approaches or technical solutions to support to data management planning

For further information and submission details see guidance of the Data Science Journal:  https://datascience.codata.org/about/submissions.

Published articles will be charged with a fee of £650, covering all publication costs (editorial processes; web hosting; indexing; marketing; archiving; DOI registration; etc.) and ensuring full (golden) open access, under a Creative Commons Attribution License.

Collection editors (in alphabetical order):

Ivonne Anders, Kevin Ashley, Daniela Hausen, Christin Henzen, Sarah Jones, Tomasz Miksa, Sebastian Netscher, Maria Praetzellis, Chris Wiley

The Data Science Journal is excited to be celebrating 20 years of publication!

When the first issue of the Data Science Journal was published by CODATA in 2002, it was perhaps the first publication dedicated to the new concept of “data science.” Since the beginning, Data Science Journal papers have advanced understanding of many aspects of the science of data, including the capture of data, their analysis, metadata, retrieval, archiving, exchange, mining to find unexpected knowledge and data relationships, and visualization, along with intellectual property rights and other legal and ethical issues related to data.

Data science has evolved significantly over the past two decades, becoming a topic of significant interest in academic research, public and private sector workplaces, and in government policies and practices. The boom of data science has been stimulated by the large volumes and varieties of data being made public on the internet, via the explosive growth in digital technologies such as personal computers, cell phones, social media, smart devices, and sensor networks. Data science has also grown with a recognition that research integrity is enhanced with the increased availability of the data that underpins research. All this has resulted in a need for new infrastructure, skills and support in the research process and the ability to work with data.

Data science has emerged as a panoply of techniques, tools, and skills that can be applied to derive value (economical or intellectual) out of the growing piles of data. We recognize that this includes advanced analytics and must also include concerns of ethics, infrastructure development, information theory, pragmatics, and more. Data science must consider the science of data and issues of data in science.

So…

What have we learned?

Where are we now?

What’s next?

The journal plans several activities to celebrate the anniversary and explore these questions. We welcome your contributions and ideas.

Special collection: The evolution and future directions of data science.

Throughout 2022, DSJ encourages submissions related to the evolution and future directions of data science (broadly defined), including recent advances, retrospective analyses, and community inspirations and provocations. We encourage a broad range of contributions. Please contribute.

Events at International Data Week

We plan several events at IDW including a research session, community discussion, and convivial reception. We’ll provide more information as the program develops.