Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
Poster session (Wednesday, May 4)
Presenters:
Line Pouchard, Purdue University
Donna Ferullo, Purdue University
This slideshow was used in a Preparing Your Research Data for the Future course taught in the Medical Sciences Division, University of Oxford, on 2015-06-08. It provides an overview of some key issues, focusing on long-term data management, sharing, and curation.
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Using data management plans as a research tool: an introduction to the DART Project
Amanda L. Whitmire, Ph.D., Assistant Professor, Data Management Specialist, Oregon State University Libraries & Press
Who owns the data? Intellectual property considerations for academic research...Rebekah Cummings
Intellectual property (IP) is often complicated but is even more so as it pertains to data, as “facts” are not eligible for copyright protection under United States copyright law. The IP issues surrounding data in academic research environments are often exacerbated by the fact that data ownership has rarely been discussed in university environments prior to NSF’s data management plan requirement in 2011. Researchers retained custody over their datasets and other stakeholders – namely universities and funding agencies – rarely contested ownership. Now, as datasets are increasingly seen as valuable outputs of research alongside publications, questions of data ownership are coming to the fore. This presentation will frame the complex issues surrounding data ownership in an academic research setting and will discuss strategies for educating and advising your researchers on intellectual property issues related to research data.
This slideshow was used at a lunchtime session delivered at the Humanities Division, University of Oxford, on 2014-05-12. It provides a general overview of some key data management topics, plus some pointers on where to find further information.
This slideshow was used in a Preparing Your Research Data for the Future course taught in the Medical Sciences Division, University of Oxford, on 2015-06-08. It provides an overview of some key issues, focusing on long-term data management, sharing, and curation.
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Using data management plans as a research tool: an introduction to the DART Project
Amanda L. Whitmire, Ph.D., Assistant Professor, Data Management Specialist, Oregon State University Libraries & Press
Who owns the data? Intellectual property considerations for academic research...Rebekah Cummings
Intellectual property (IP) is often complicated but is even more so as it pertains to data, as “facts” are not eligible for copyright protection under United States copyright law. The IP issues surrounding data in academic research environments are often exacerbated by the fact that data ownership has rarely been discussed in university environments prior to NSF’s data management plan requirement in 2011. Researchers retained custody over their datasets and other stakeholders – namely universities and funding agencies – rarely contested ownership. Now, as datasets are increasingly seen as valuable outputs of research alongside publications, questions of data ownership are coming to the fore. This presentation will frame the complex issues surrounding data ownership in an academic research setting and will discuss strategies for educating and advising your researchers on intellectual property issues related to research data.
This slideshow was used at a lunchtime session delivered at the Humanities Division, University of Oxford, on 2014-05-12. It provides a general overview of some key data management topics, plus some pointers on where to find further information.
The scientific and economic value of research data is enormous. To ensure successful subsequent usage, the scientific community needs efficient access to data, the data has to be reliable and persistent, and the quality of the data has to be proved.
One solution to these preconditions is to apply the techniques of today’s scientific publishing to research data. Besides its publication in a data repository together with some metadata, the data should undergo a transparent public peer-review using a publication platform.
The presentation discusses two approaches. On the one hand, the data can be the basis for a research article and undergoes a review parallel to the review of the manuscript. The data is then a reviewed supplement to a scientific publication. On the other hand, the data itself can be the subject of a publication whose quality is then assured by peers.
The presentation provides practical experience, especially with the latter strategy, realized through an established open access journal.
IDCC Workshop: Analysing DMPs to inform research data services: lessons from ...Amanda Whitmire
A workshop as part of the International Digital Curation Conference 2016 on DMP development and support. This presentation demonstrates how we can use data management plans as a source of information to better understand researcher data stewardship practices and how to support them. Be sure to see the slide notes to better understand the presentation (most slides are just photos/icons).
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Keynote Address: Data Management Plan Requirements at the US Department of Energy
Laura J. Biven, Ph.D., Senior Science and Technology Advisor, Office of the Deputy Director for Science Programs, Office of Science, US Department of Energy
This presentation was provided by Clara Llebot of Oregon State University, during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
Managing Ireland's Research Data - 3 Research MethodsRebecca Grant
Slides providing an overview of the research methods used in the author's thesis, "Managing Ireland's Research Data: Recognising Roles for Recordkeepers". The methods discussed are online surveys, comparative case studies, and autoethnography.
Licensed as CC-BY.
Introduction to research data managementMichael Day
Slides from a presentation given at the JIBS User Group / RLUK joint event "Demystifying research data: don't be scared, be prepared" held at the SOAS Brunei Gallery, London, 17 July 2012.
Feb 26 NISO Training Thursday
Crafting a Scientific Data Management Plan
About the Training
Addressing a data management plan for the first time can be an intimidating exercise. Join NISO for a hands-on workshop that will guide you through the elements of creating a data management plan, including gathering necessary information, identifying needed resources, and navigating potential pitfalls. Participants explore the important components of a data management plan and critique excerpts of sample plans provided by the instructors.
This session is meant to be a guided, step-by-step session that will follow the February 18 NISO Virtual Conference, Scientific Data Management: Caring for Your Institution and its Intellectual Wealth.
About the Instructors
Kiyomi D. Deards, MSLIS, Assistant Professor, University of Nebraska-Lincoln Libraries
Jennifer Thoegersen, Data Curation Librarian, University of Nebraska-Lincoln Libraries
Data Management for Research (New Faculty Orientation)aaroncollie
Situates research data management as a contingency that should be addressed and provisioned for during planning and research design. Draws out fundamental practices for file management, data description, and enumerates storage decision points.
It is about:
Introduction: What Is “Research Data”? and Data Lifecycle
Part 1:
Why Manage Your Data?
Formatting and organizing the data
Storage and Security of Data
Data documentation and meta data
Quality Control
Version controlling
Working with sensitive data
Controlled Vocabulary
Centralized Data Management
Part 2:
Data sharing
What are publishers & funders saying about data sharing?
Researchers’ Attitudes
Benefits of data sharing
Considerations before data sharing
Methods of Data Sharing
Shared Data Uses and Its’ Limitations
Data management plans
Brief summary
Acknowledgment , References
Poster RDAP13: Research Data in eCommons @ Cornell: Present and FutureASIS&T
Wendy A. Kozlowski, Dianne Dietrich, Gail Steinhart and Sarah Wright
Cornell University Library, Ithaca, NY
Research Data in eCommons @ Cornell: Present and Future
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...ASIS&T
Betsy Gunia, David Fearon, Benjamin Brosius, Tim DiLauro
JHU Data Management Services
Johns Hopkins University Sheridan Libraries
A Workflow for Depositing to a Research Data Repository: A Case Study for Archiving Publication Data
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
The scientific and economic value of research data is enormous. To ensure successful subsequent usage, the scientific community needs efficient access to data, the data has to be reliable and persistent, and the quality of the data has to be proved.
One solution to these preconditions is to apply the techniques of today’s scientific publishing to research data. Besides its publication in a data repository together with some metadata, the data should undergo a transparent public peer-review using a publication platform.
The presentation discusses two approaches. On the one hand, the data can be the basis for a research article and undergoes a review parallel to the review of the manuscript. The data is then a reviewed supplement to a scientific publication. On the other hand, the data itself can be the subject of a publication whose quality is then assured by peers.
The presentation provides practical experience, especially with the latter strategy, realized through an established open access journal.
IDCC Workshop: Analysing DMPs to inform research data services: lessons from ...Amanda Whitmire
A workshop as part of the International Digital Curation Conference 2016 on DMP development and support. This presentation demonstrates how we can use data management plans as a source of information to better understand researcher data stewardship practices and how to support them. Be sure to see the slide notes to better understand the presentation (most slides are just photos/icons).
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Keynote Address: Data Management Plan Requirements at the US Department of Energy
Laura J. Biven, Ph.D., Senior Science and Technology Advisor, Office of the Deputy Director for Science Programs, Office of Science, US Department of Energy
This presentation was provided by Clara Llebot of Oregon State University, during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
Managing Ireland's Research Data - 3 Research MethodsRebecca Grant
Slides providing an overview of the research methods used in the author's thesis, "Managing Ireland's Research Data: Recognising Roles for Recordkeepers". The methods discussed are online surveys, comparative case studies, and autoethnography.
Licensed as CC-BY.
Introduction to research data managementMichael Day
Slides from a presentation given at the JIBS User Group / RLUK joint event "Demystifying research data: don't be scared, be prepared" held at the SOAS Brunei Gallery, London, 17 July 2012.
Feb 26 NISO Training Thursday
Crafting a Scientific Data Management Plan
About the Training
Addressing a data management plan for the first time can be an intimidating exercise. Join NISO for a hands-on workshop that will guide you through the elements of creating a data management plan, including gathering necessary information, identifying needed resources, and navigating potential pitfalls. Participants explore the important components of a data management plan and critique excerpts of sample plans provided by the instructors.
This session is meant to be a guided, step-by-step session that will follow the February 18 NISO Virtual Conference, Scientific Data Management: Caring for Your Institution and its Intellectual Wealth.
About the Instructors
Kiyomi D. Deards, MSLIS, Assistant Professor, University of Nebraska-Lincoln Libraries
Jennifer Thoegersen, Data Curation Librarian, University of Nebraska-Lincoln Libraries
Data Management for Research (New Faculty Orientation)aaroncollie
Situates research data management as a contingency that should be addressed and provisioned for during planning and research design. Draws out fundamental practices for file management, data description, and enumerates storage decision points.
It is about:
Introduction: What Is “Research Data”? and Data Lifecycle
Part 1:
Why Manage Your Data?
Formatting and organizing the data
Storage and Security of Data
Data documentation and meta data
Quality Control
Version controlling
Working with sensitive data
Controlled Vocabulary
Centralized Data Management
Part 2:
Data sharing
What are publishers & funders saying about data sharing?
Researchers’ Attitudes
Benefits of data sharing
Considerations before data sharing
Methods of Data Sharing
Shared Data Uses and Its’ Limitations
Data management plans
Brief summary
Acknowledgment , References
Poster RDAP13: Research Data in eCommons @ Cornell: Present and FutureASIS&T
Wendy A. Kozlowski, Dianne Dietrich, Gail Steinhart and Sarah Wright
Cornell University Library, Ithaca, NY
Research Data in eCommons @ Cornell: Present and Future
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
Poster RDAP13: A Workflow for Depositing to a Research Data Repository: A Cas...ASIS&T
Betsy Gunia, David Fearon, Benjamin Brosius, Tim DiLauro
JHU Data Management Services
Johns Hopkins University Sheridan Libraries
A Workflow for Depositing to a Research Data Repository: A Case Study for Archiving Publication Data
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
http://kulibrarians.g.hatena.ne.jp/kulibrarians/20170222
Presentation by Cuna Ekmekcioglu (The University of Edinburgh)
- Creating and Managing Digital Research Data in Creative Arts: An overview (2016)
CC BY-NC-SA 4.0
Presentation from a University of York Library workshop on research data management. The workshop provides an introduction to research data management, covering best practice for the successful organisation, storage, documentation, archiving, and sharing of research data.
An introduction to Research Data Management and Data Management Planning presented at the University of the West of England on Wednesday 9th July 2014.
Going Full Circle: Research Data Management @ University of PretoriaJohann van Wyk
Presentation delivered at the eResearch Africa Conference, held 23-27 November 2014, at the University of Cape Town, Cape Town, South Africa. Various approaches to Research Data Management at Higher Education Institutions focus on an aspect or two of the research data cycle. At the University of Pretoria the approach has been to support researchers throughout the research process covering the whole research data cycle. The idea is to facilitate/capture the research data throughout the research cycle. This will give context to the data and will add provenance to the data. The University of Pretoria uses the UK Data Archive’s research data cycle model, to align its Research Data Management project-development. This model identifies the stages of a research data cycle as: creating data, processing data, analysing data, preserving data, giving access to data, and reusing data. This paper will give a short overview of the chronological development of research data management at the University of Pretoria. The overview will also highlight findings of two surveys done at the University, one in 2009 and one in 2013. This will be followed by a discussion of a number of pilot projects at the University, and how the needs of researchers involved in these projects are being addressed in a number of the stages of the research data cycle. The discussion will also give a short overview of how the University plans to support those stages not currently being addressed. The second part of the presentation will focus on the projects and technology (software and hardware) used. The University of Pretoria has adopted an Enterprise Content Management (ECM) approach to manage its Research Data. ECM is not a singular platform or system but rather a set of strategies, tools and methodologies that interoperate with each other to create a comprehensive management tool. These sets create an all-encompassing process addressing document, web, records and digital asset management. At the University of Pretoria we address all these processes with different software suites and tools to create a complete management system. Each process presented its own technical challenges. These had to be addressed, while keeping in mind the end objective of supporting researchers throughout the whole research process and data life cycle. Various platforms and standards have been adopted to meet the University of Pretoria’s criteria. To date three processes have been addressed namely, the capturing of data during the research process, the dissemination of data and the preservation of data.
Research Data Management in the Humanities and Social SciencesCelia Emmelhainz
This two-part presentation for librarians reviews basic concepts and concerns with research data management, and is targeted to those working with humanists and social scientists. You are free to re-use and modify with attribution.
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Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016
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Presenter:
Margaret Henderson, Virginia Commonwealth University
Panel Leads:
Kristin Briney, University of Wisconsin-Milwaukee & Erica Johns, Cornell University
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May 4-7, 2016
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Presenter:
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Panel Leads:
Kristin Briney, University of Wisconsin-Milwaukee & Erica Johns, Cornell University
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Panel Lead:
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Presenter:
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Panel Lead:
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Presenter:
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Panel Lead:
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RDAP 16: If I could turn back time: Looking back on 2+ years of DMP consultin...ASIS&T
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Presenter:
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Presenter:
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Presenters:
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Presenter:
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Presenter:
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Presenter:
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Presenter:
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Presenter:
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RDAP 16 Poster: Interpreting Local Data Policies in Practice
1. Interpreting Local Data Policies in Practice
Line
C.
Pouchard
and
Donna
L.
Ferullo
Purdue
University
Libraries
Collabora'ons
• Researchers
• Office
of
the
University
Counsel
• University
Copyright
Office
• InformaAon
Technology
• Libraries
Data
Center
Hub
Legal
Issues
Copyrightability
of
data
Ownership
of
data
Repository
terms
of
use
Repository
terms
of
deposit
What
is
Data?
da'ta
/ˈdeɪtə,
ˈdætə,
ˈdɑtə/
Show
Spelled
[dey-‐tuh,
dat-‐uh,
dah-‐tuh]
noun
1. a
plural
of
datum
2. (used
with
a
plural
verb)
individual
facts,
staAsAcs,
or
items
of
informaAon:
These
data
represent
the
results
of
our
analyses.
Data
are
entered
by
terminal
for
immediate
processing
by
the
computer.
3. (used
with
a
singular
verb)
a
body
of
facts;
informaAon:
addiAonal
data
is
available
from
the
president
of
the
firm.
What
is
not
copyrightable
• Ideas,
procedures,
methods,
systems,
processes
• Titles,
names,
short
phrases,
slogans
• Facts,
news,
research
• Works
in
the
public
domain
• Works
created
by
US
government
employees
• Works
with
expired
copyrights
So…What’s
copyrightable?
• Expression
of
data
• CompilaAon
of
data
Purdue
Intellectual
Property
Policy
I.A.1
for
Research
Data
The
term
“Research
Data”
means
the
recorded
factual
material
commonly
accepted
in
the
research
and
scholarly
communiAes
as
necessary
to
validate
research
findings,
but
not
any
of
the
following:
preliminary
analyses,
dra_s
of
scholarly
manuscripts,
plans
for
future
research,
peer
reviews,
or
communicaAons
with
colleagues.
Purdue
Intellectual
Property
Policy
I.A.1
Who
Owns
the
Research
Data?
• Purdue
does
unless
it
falls
under
one
of
the
excepAons:
• Subject
to
contract
• Student
academic
work
product
Purdue
Policy
I.A.1
Data
Center
Hub
A
data
storage
and
discovery
plaborm
for
engineering
data
that
includes
measurements,
photos,
diagrams
of
the
effect
of
earthquakes
on
reinforced
concrete
Policy
development
in
Data
Center
Hub:
method
• Librarians
embedded
in
the
research
team
treat
data
as
a
collecAon
• Collect
and
assess
policies
for
similar
plaborms
(if
any)
• Write
dra_s
and
collect
feedback
from
researchers
• Get
feedback
from
University
copyright
lawyer
(also
a
professor
in
Purdue
Libraries)
• ImplementaAon
of
policies
into
data
plaborm
Policy
elements
• Terms
of
Deposits
• File
Formats
• Terms
of
Use
• Data
Sharing
Implementa'on
in
Data
Center
Hub
• List
of
CreaAve
Commons
licenses
• User
has
to
pick
a
default
CC
BY-‐NC-‐SA
4.0
CC
BY-‐SA
3.0
CC
BY-‐ND
3.0
CC
BY-‐NC-‐SA
3.0
CC
BY-‐NC-‐SA
2.5
CC
BY-‐NC-‐ND
3.0
CC
BY-‐NC
3.0
CC
BY
3.0
CC
RDAP
2016
Atlanta,
May
4-‐5