[CODATA-international] Drexel-CODATA FAIR-RRDM Workshop 2019, 31 March-1 April, Call for Papers, Deadline 18 February
asha at codata.org
Wed Feb 6 08:46:04 EST 2019
*A Drexel Metadata Research Centre and CODATA workshop on knowledge sharing
between research communities and research institutions*
*Sun 31 March and Mon 1 April 2019, Drexel University, Philadelphia, USA.*
*Call for Papers, deadline, 18
*Places limited, register *at:* http://bit.ly/Drexel-CODATA-Workshop-Register
Responsible data management embodies the FAIR principles of making data
findable, accessible, interoperable, and reusable. FAIR has helped focus
minds and provided readily adopted terminology and guidelines, which in
turn will help realise the benefits of accelerated analysis, with machines,
at scale. In consequence, research communities and research institutions
are faced with the task of rising to the challenge of FAIR and responsible
Advancing the adoption of FAIR requires sharing protocols, practices,
policies, methodologies, and approaches for responsible data management.
The open science and open data movements have made significant progress in
certain research communities and domains, but less so in others. While good
practices have been developed within some research communities, it is in
research institutions and universities that data management and some long
term stewardship must take place. Sometimes reluctantly, research
institutions have been obliged to take greater responsibility for research
data management by the needs of researchers and their communities on the
one hand and by the requirements of national funders on the other.
There are opportunities for knowledge sharing and coordination across a
number of these axes: between research disciplines and communities; between
research communities and institutions; and internationally among
institutions. The biomedical and genomics fields, for example, have made
considerable progress with data sharing and with issues of nomenclature and
semantics. Much research activity of the last two decades could not have
happened without community agreements on data sharing and mechanisms for
managing concepts, semantic specifications and ontologies. Likewise, many
biomedical research domains are addressing the challenges of controlled
sharing of sensitive and restricted data, following the FAIR principles but
with respect to ethical and legal criteria where these prevent certain data
from being fully Open.
The aim of this workshop is to bring together researchers, data management
experts, policy leaders and to facilitate knowledge sharing between
research communities and between institutions. Perspectives from all
domains and from research institutions are in scope. At least one session
will examine progress in the biomedical community and lessons to be learnt,
particularly in relation to good practice and mechanisms for controlled
sharing of sensitive and restricted data.
Outputs and Impact
The workshop will feature invited speakers and an expert panel discussion,
selected research and practice papers from an open call, a poster and
lightning talks session, as well as workshop sessions on mechanisms for
knowledge sharing and on issues of responsibility and sensitive data.
The workshop will:
1. highlight and scrutinise innovative approaches and key developments
fulfilling FAIR principles;
2. promote broad interest and participation in the pursuit of solutions
across disciplines and institutions; and
3. identify concrete mechanisms for knowledge sharing between research
communities and between research institutions.
The workshop builds on a successful Göttingen-CODATA Symposium on RDM in
Institutions which was held in March 2018 and like its predecessor will
result in a special collection of the CODATA Data Science Journal
Call for Presentations and Posters/Lightning Talks
Submissions are to be made via the CODATA Conference Platform at:
The deadline will be 18 February and accepted speakers will be notified no
later than 1 March.
Recommended proposal lengths for the three categories of presentation are:
- Long, research presentation, addressing the workshop themes by
reporting on an original research activity: 800-1200 words
- Short, practice presentation, addressing the workshop themes by
reporting on a project or institutional activity: 400-800 words
- Poster and lightning talk addressing the workshop themes: 300-600 words
After the workshop, selected presenters will be invited to submit a full
paper to the CODATA Data Science Journal
they will form a special collection.
Workshop Themes / Sessions
1. FAIR data: implications and responsibilities 1) for research
communities and 2) for research institutions.
2. FAIR data stewardship and knowledge sharing. What progress has been
made in RDM and FAIR data stewardship? What can be learnt from biomedical
research and from other domains?
3. Limits of open data and how do deal responsibly with sensitive data.
What can be learnt from biomedical fields and other fields for the
controlled sharing of sensitive data?
4. RDM, FAIR stewardship services and research infrastructures 1) for
research communities and 2) for research institutions. How are research
communities and/or research institutions implementing research
infrastructures for RDM and FAIR stewardship? How are they tackling
related and supporting issues such as: a) developing skills and capacity;
b) addressing policy, legal and ethical issues; c) aligning strategies and
priorities with FAIR and RDM responsibilities?
5. Alignment of domain and institutional RDM and FAIR stewardship: What
experiences exist and mechanisms are there for aligning domain and
institutional RDM and FAIR stewardship? Examples of collaboration between
research communities, domain research infrastructures and institutions will
be particularly welcome.
The workshop is free. Places are limited. Please register at:
The programme committee and organisers are committed to ensuring this is a
no-fee event. To help with this ambition, we will be very grateful for
financial support and sponsorship. Please contact Jane Greenberg <
jg3243 at drexel.edu>, Simon Hodson <simon at codata.org> for further
- Jane Greenberg, Alice B. Kroeger Professor, Director of the Metadata
Research Center, College of Computing and Informatics, Drexel University,
- Simon Hodson, Executive Director CODATA
- Devika Madalli, Professor, Documentation Research and Training Center
(DRTC), Indian Statistical Institute (ISI), Bangalore, India
*Programme Committee Members:*
- Jan Brase, Head of Research and Development Georg-August-Universität
Göttingen, Göttingen State and University Library, Germany
- Sarah Callaghan, Editor-in-Chief of the Data Science Journal
- Bonnie Carroll, CODATA Secretary General and Information International
Associates, Inc. (IIa).
- Kedma Duarte, Technical-Scientific Advisor, Goiás State Research
Support Foundation (Fapeg), Goiania, Goiás, Brazil
- Megan Force, Editor, Data Citation Index, Clarivate Analytics
- Wolfram Horstman, Director, Göttingen State and University Library,
- Rebecca Koskela, Executive Director, DataONE
- Eva Mendez, Deputy Vice-Rector for Scientific Policy. Open Science,
Universidad Carlos III, Madrid, Spain, and Chair of the EU Open Science
- Jeffrey Pennington,Associate Vice President and Chief Research
Informatics Officer, Children's Hospital of Philadelphia
- Rosina Weber, Associate Professor, College of Computing and
Informatics, Drexel University.
- Michael Witt, Head of the Distributed Data Curation Center (D2C2),
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
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the CODATA-international