[CODATA-international] Call for Papers: Data Management Planning across Disciplines and Infrastructures

Asha CODATA asha at codata.org
Wed Nov 9 04:51:55 EST 2022

The Data Science Journal (https://datascience.codata.org/)
<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: December 15th, 2022.

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




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*Data Science Journal Call
for Papers, Data Management Planning across Disciplines and Infrastructures:*

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Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

CODATA (Committee on Data of the International Council for Science), 5 rue
Auguste Vacquerie, 75016 Paris, FRANCE
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