[AISWorld] Data Governance, Digital Innovation and Grand Challenges -- CFP Special Issue Information and Organization

[Elizabeth Davidson]

Data Governance, Digital Innovation and Grand Challenges
CFP *Information and Organization*

*Guest Editors:*

Elizabeth Davidson, University of Hawai’i, Shidler College of Business;
Jenifer Winter, University of Hawai’i, School of Communications;
Lauri Wessel, European New School of Digital Studies @ European University
Viadrina Frankfurt an der Oder;
Susan Winter, University of Maryland College Park, School of Information
Studies.

*Important dates:*

Submission deadline: November 1, 2021

First round decisions: April 15, 2022

Revisions due: September 15, 2022

Second round decisions: December 15, 2022

Final submission: January 31, 2023

https://www.journals.elsevier.com/information-and-organization/call-for-papers/data-governance-digital-innovation-and-grand-challenges

Today, previously unimaginable varieties and volumes of data about nearly
all aspects of human actions are collected, aggregated, and analyzed. Data
resources are typically treated as proprietary assets of the organizations
(and IT platforms) that capture or otherwise acquire data. However, if we
consider data as societal resources rather than (or in addition to)
privately held assets, then how data governance takes shape and whether
governance addresses diverse goals, priorities, and interests become
important research and policy questions.

*Data governance* is a broad concept that includes the processes and
institutional structures for managing data, and the policies and practices
for granting access to and authorizing acceptable uses of data. Information
technologies and systems not only generate the growing stockpiles of
digitized data but are also crucial elements in data governance policies
and practices.

Our goals in this special issue are to stimulate and advance academic and
practice-focused knowledge on data governance that addresses the broad
range of research questions associated with advancing digital innovation
and for meeting grand challenges.

*Data governance and digital innovation. *There is immense potential for
digital innovation with emerging technologies such as AI, machine learning,
analytics, and IoT. Whether data collected in one context can be
effectively, fairly and ethically applied in other contexts raises data
governance and stewardship issues, such as whether a data set is implicitly
biased or whether individuals whose data are represented consent to this
reuse or not. Equally important are questions about facilitating access to
and reuse of data for innovation.

*Data governance and grand challenges: *There is immense potential for data
resources to be used to address grand challenges such as uneven economic
development, government transparency, energy conservation, and advances in
medical research and care, to name just a few. How potentially relevant
data are governed – by whom, for what purposes, on whose behalf and through
what socio-technical actions and structures – present imperative questions
for how such resources are utilized.

We seek submissions that address how the benefits, risks, and consequences
of today’s data-rich world can be understood and managed, in part, through
the lens of data governance, so that data resources might be harnessed for
innovation and societal good amidst many competing value claims and
substantial risks for privacy and security. Topics of interest include, but
are not limited to:

   - Cases / analyses of organizational forms and practices for governing
   data in specific socio-economic contexts (healthcare, education, energy
   use, commerce, sports, etc.) that contribute to social-theoretical
   understanding of data governance.


   - Administrative, organizational and technological practices that allow
   anonymized personal data to be shared for research or policy, as well as
   risks of re-identification. *Papers specifying algorithms are not
   appropriate for this journal*, though organizational application of
   technological solutions may be.


   - Ethical and practical concerns for researchers or policy makers
   repurposing data resources with businesses, technology firms, and other
   researchers.


   - Rationalities or logics that guide policy and decision-making about
   data aggregation, stockpiling, monetizing, reuse within and across
   organizational settings.


   - Theory-informed studies of the implications of privacy and data use
   regulations (e.g., GDPR, California data use law) on organizational
   practices for data governance.


   - Case studies of how “privacy by design” is implemented and the
   implications for data governance.


   - Data stewardship roles, responsibilities, processes or practices for
   ensuring data resources have sufficient quality for intended uses, eg. are
   accurate, complete and/or representative for intended uses.


   - Opportunities, problems, or failures of data stewardship and
   governance; unintended consequences of utilizing aggregated data beyond the
   context where data originates.


   - Cases / analyses of data governance challenges that inform policy and
   regulatory innovation or reform related to data governance (in local,
   national, or international jurisdictions).


   - Studies that develop design theory about how to design data governance
   structures and practices for addressing grand challenges.

Regular submission to *Information and Organization*, as well as
submissions to the Research Impact and Contributions to Knowledge (RICK)
section will be considered. Authors are encouraged to review the aims and
scope statement for the journal (
https://www.journals.elsevier.com/information-and-organization) to better
understand the journal’s focus and publication genre. RICK submissions are
briefer (5000 words) and address the impact or translation of scholarly
knowledge broadly. Authors considering a RICK submission should review the
overview of RICK genre on the website and recent RICK publications (
https://www.journals.elsevier.com/information-and-organization/call-for-papers/special-section-call-for-papers-research-impact-and-contribt
).

Please address questions , clarifications or comments about the special
issue to any of the guest editors.
Elizabeth Davidson
W. Ruel Johnson Professor
Chairperson
Department of Information Technology Management
Shidler College of Business
University of Hawaii at Manoa
Honolulu, HI 96822
(808)956-6657 (office)
(808)956-9889 (fax)
http://shidler.hawaii.edu/itm/directory/elizabeth-j-davidson