[CODATA-international] DEADLINE APPROACHING - KEYNOTES ANNOUNCED: Drexel-CODATA FAIR and Responsible Research Data Management Workshop

[Asha CODATA]

[image: workshop_drexel.png]
The deadline for presentation proposals for the Drexel-CODATA FAIR and
Responsible Research Data Management Workshop is approaching.  Submit your
proposal for a presentation by 4 March:
https://conference.codata.org/Drexel_CODATA_2019/

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  March:
https://conference.codata.org/Drexel_CODATA_2019/
Places limited, register at: http://bit.ly/Drexel-CODATA-Workshop-Register

See further information about the themes of the workshop at
http://www.codata.org/events/conferences/drexel-metadata-research-centre-and-codata-workshop

The organisers and programme committee are pleased to announce the
following keynotes speakers:


   - Lisa Federer, National Library of Medicine: FAIR Data at the National
   Library of Medicine and National Institutes of Health
   - Robert Hanisch, NIST: Let’s Make it Easy to be FAIR
   - Patricia Cruse, DataCite
   - Barend Mons, Professor at Leiden University Medical Center, Ambassador
   of GO FAIR, President of CODATA

Lisa Federer: FAIR Data at the National Library of Medicine and National
Institutes of Health

The National Institutes of Health recently issued a Strategic Plan for Data
Science, which outlines five broad goals to enhance the biomedical
community’s ability to conduct data-intensive science. Underlying these
goals is the need to ensure that data and other research outputs are FAIR –
Findable, Accessible, Interoperable, and Reusable. As the world’s largest
biomedical library and one of the institutes of the NIH, the National
Library of Medicine plays a key role in realizing the goals of the
Strategic Plan for Data Science. This talk will describe some of the
activities at NIH and NLM to increase the FAIRness of biomedical data and
other research objects.

 In addition, this talk explores the impacts of FAIR data by exploring how
researchers actually reuse shared datasets. Using over 10,000 requests to
use data from three NIH repositories, this study considered who requested
datasets and how they intended to reuse them. In addition, the descriptions
of the datasets themselves were analyzed to determine characteristics of
highly used datasets that could be helpful in determining which datasets
will be of high value early in the data life cycle. The findings of this
study have implications for FAIR data management – better understanding how
data are reused in practice will help ensure that they are managed,
curated, and made accessible in ways that will maximize their usefulness to
the research community.
About Lisa Federer

Lisa Federer is the Data Science and Open Science Librarian at the National
Library of Medicine, focusing on developing efforts to support workforce
development and enhance capacity in the biomedical research community for
data science and open science. She serves on the editorial board of the
Journal of the Medical Library Association and was the editor of the
Medical Library Association Guide to Data Management for Librarians. She
holds an MLIS from the University of California-Los Angeles, as well as
graduate certificates in data science and data visualization, and is a PhD
candidate in information science at the University of Maryland, focusing on
biomedical researchers’ data reuse practices and characteristics of
datasets that predict high use.


Robert Hanisch: Let’s Make it Easy to be FAIR

Those of us with roles in data management all firmly believe in the FAIR
principles.  The data arising from publicly funded research should be
considered a public good, and the value of that public good can only be
realized by the data being FAIR.  In some fields of research, where data
has been FAIR long before the acronym was invented, there is clear evidence
for data re-use and increased research productivity.  In many fields,
however, the situation is less clear and it is therefore challenging to
convince researchers that making their data FAIR is worth the effort.  In
many cases, as well, the tools and infrastructure needed to automate and
sustain FAIRness are lacking, and it is only through making it easy—in
fact, the default—to be FAIR that we will be able to confirm our belief
that FAIR will both increase productivity and lead to more robust and
innovative research.
About Robert Hanisch

Dr. Robert J. Hanisch is the Director of the Office of Data and
Informatics, Material Measurement Laboratory, at the National Institute of
Standards and Technology in Gaithersburg, Maryland. He is responsible for
improving data management and analysis practices and helping to assure
compliance with national directives on open data access. Prior to coming to
NIST in 2014, Dr. Hanisch was a Senior Scientist at the Space Telescope
Science Institute, Baltimore, Maryland, and was the Director of the US
Virtual Astronomical Observatory. For more than twenty-five years Dr.
Hanisch led efforts in the astronomy community to improve the accessibility
and interoperability of data archives and catalogs.



Best,

Asha


*Upcoming Conferences:*

Drexel-CODATA FAIR-RRDM Workshop 2019
<http://www.codata.org/events/conferences/drexel-metadata-research-centre-and-codata-workshop>,
31 March-1 April 2019: Call for Papers, Deadline 4 March
<https://conference.codata.org/Drexel_CODATA_2019/> - Registration
<http://bit.ly/Drexel-CODATA-Workshop-Register>

Call for Sessions, CODATA 2019 Conference 'Towards next-generation
data-driven science: policies, practices and platforms'
<https://conference.codata.org/CODATA_2019/>, Beijing, China, 19-20
September: deadline 15 April
<https://conference.codata.org/CODATA_2019/submit/>

*Publications:*

CODATA Update and Important Dates 2019:
https://doi.org/10.5281/zenodo.2561414

CODATA Prospectus: Strategy and Achievement, 2015-2018:
https://doi.org/10.5281/zenodo.2559274

Data Science Journal: January Publications and new Special Collections
<http://codata.org/blog/2019/02/01/january-publications-in-the-data-science-journal-and-new-special-collections/>

The European Commission Expert Group Report ‘Turning FAIR into Reality’ was
published on 23 November: https://doi.org/10.2777/1524

The Future of Science and Science of the Future: Vision and Strategy for
the African Open Science Platform https://doi.org/10.5281/zenodo.2222418;
presentation https://doi.org/10.5281/zenodo.2357337

SA-EU Open Science Dialogue Report: https://doi.org/10.5281/zenodo.2559469

‘A milestone in the history of science’: proposed redefinition of
the International System of Units based on the work of the CODATA
<http://www.codata.org/news/295/62/A-milestone-in-the-history-of-science-based-on-work-of-the-CODATA-the-Committee-on-Data-of-the-International-Science-Council>

*Stay in touch with CODATA:*

Stay up to date with CODATA activities: join the CODATA International News
list
<http://lists.codata.org/mailman/listinfo/codata-international_lists.codata.org>

Looking for training and career opportunities in data science and data
stewardship?  Sign up to the CODATA early career community-run data
science training and careers list
<http://lists.codata.org/mailman/listinfo/data_science_training_lists.codata.org>
-- 
___________________________

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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