Following a number of requests and understanding the many pressure of
potential participants’ time, the Programme Committee of the Drexel-CODATA
FAIR and Responsible Research Data Management Workshop
decided to extend the deadline for submissions to 4 March:
FAIR and Responsible Research Data Management (FAIR-RRDM)
*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,
as a colocated, pre-event to the *13th RDA Plenary
*Call for Papers, deadline, 4
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.
Call for Presentations and Posters/Lightning Talks
Submissions are to be made via the CODATA Conference Platform at:
*The deadline for proposals is Mon 4 March and accepted speakers will be
notified no later than Tue 12 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 <
***@***.***>, Simon Hodson <***@***.***> for further information.
University of New Mexico
1312 Basehart SE
Albuquerque, NM 87106
Cell: (505) 382-0890
Fax: (505) 246-6007