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.
This presentation was provided by Carly Strasser of the Chan Zuckerberg Initiative during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
This presentation was provided by Maria Praetzellis of California Digital Library, during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
This presentation was provided by Les Hawkins of The Library of Congress, during the NISO at NASIG Pre-conference "Metadata in a Digital Age: New Models of Creation, Discovery, and Use," held on June 4, 2008.
This presentation was provided by Joe Zucca of the University of Pennsylvania, during Session Five of the NISO event "Assessment Practices and Metrics for the 21st Century," held on November 22, 2019.
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 Patricia Payton of Proquest during the NISO webinar, Engineering Access Under the Hood, Part Two, held on November 15, 2017.
This presentation was provided by Carly Strasser of the Chan Zuckerberg Initiative during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
This presentation was provided by Maria Praetzellis of California Digital Library, during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
This presentation was provided by Les Hawkins of The Library of Congress, during the NISO at NASIG Pre-conference "Metadata in a Digital Age: New Models of Creation, Discovery, and Use," held on June 4, 2008.
This presentation was provided by Joe Zucca of the University of Pennsylvania, during Session Five of the NISO event "Assessment Practices and Metrics for the 21st Century," held on November 22, 2019.
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 Patricia Payton of Proquest during the NISO webinar, Engineering Access Under the Hood, Part Two, held on November 15, 2017.
This presentation was provided by Helen Henderson of Ringgold, during the NISO at NASIG Pre-conference "Metadata in a Digital Age: New Models of Creation, Discovery, and Use," held on June 4, 2008.
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
This presentation was provided by Kristi Holmes of Northwestern University during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Learning to Curate Research Data
Jennifer Doty, Research Data Librarian, Emory Center for Digital Scholarship, Emory University, Robert W. Woodruff Library
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Jared Lyle, ICPSR
Jennifer Doty, Emory University
Joel Herndon, Duke University
Libbie Stephenson, University of California, Los Angeles
RDAP14: DataONE: Data Observation Network for EarthASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Amber E. Budden, Director for Community Engagement and Outreach, DataONE, University of New Mexico
This presentation was provided by Kristin Lee of Tufts University during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
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
RDAP14: Policy Recommendations for Institutions to Serve as Trustworthy Stewa...ASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
J. Steven Hughes
NASA Jet Propulsion Laboratory
Robert R. Downs
Center for International Earth Science Information Network (CIESIN), Columbia University
David Giaretta
Alliance for Permanent Access
February 18 2015 NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Network Effects: RMap Project
Sheila M. Morrissey, Senior Researcher, ITHAKA
RDAP 15 Local ICPSR Data Curation Workshop Pilot ProjectASIS&T
Research Data Access and Preservation Summit, 2015
Minneapolis, MN
April 22-23, 2015
Linda Detterman, Jennifer Doty, Jared Lyle, Amy Pienta, Lizzy Rolando and Mandy Swygart-Hobaugh
Introduction to the Research Integrity Advisor Data Management Workshop, Bris...ARDC
Dr Jacobs' introduction to the RIA Data Management Workshop in Brisbane on 31 March 2017. The RIA Data Management Workshop series is a joint collaboration of the Australian Research Council, the National Health and Medical Research Council, the Australasian Research Management Society and the Australian National Data Service.
February 18 2014 NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Capacity Building: Leveraging existing library networks to take on research data
Heidi Imker, Director of the Research Data Service, University of Illinois at Urbana-Champaign
This presentation was provided by Galadriel Chilton of The Ivy Plus Library Confederation, during the NISO training series "Assessment Practices and Metrics for the 21st Century (Session Three)," held on November 8, 2019.
Semantic Similarity and Selection of Resources Published According to Linked ...Riccardo Albertoni
The position paper aims at discussing the potential of exploiting linked data best practice to provide metadata documenting domain specific resources created through verbose acquisition-processing pipelines. It argues that resource selection, namely the process engaged to choose a set of resources suitable for a given analysis/design purpose, must be supported by a deep comparison of their metadata. The semantic similarity proposed in our previous works is discussed for this purpose and the main issues to make it scale up to the web of data are introduced. Discussed issues contribute beyond the re-engineering of our similarity since they largely apply to every tool which is going to exploit information made available as linked data. A research plan and an exploratory phase facing the presented issues are described remarking the lessons we have learnt so far.
This presentation was provided by Helen Henderson of Ringgold, during the NISO at NASIG Pre-conference "Metadata in a Digital Age: New Models of Creation, Discovery, and Use," held on June 4, 2008.
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
This presentation was provided by Kristi Holmes of Northwestern University during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
February 18 2015 NISO Virtual Conference Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Learning to Curate Research Data
Jennifer Doty, Research Data Librarian, Emory Center for Digital Scholarship, Emory University, Robert W. Woodruff Library
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Jared Lyle, ICPSR
Jennifer Doty, Emory University
Joel Herndon, Duke University
Libbie Stephenson, University of California, Los Angeles
RDAP14: DataONE: Data Observation Network for EarthASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
Amber E. Budden, Director for Community Engagement and Outreach, DataONE, University of New Mexico
This presentation was provided by Kristin Lee of Tufts University during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
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
RDAP14: Policy Recommendations for Institutions to Serve as Trustworthy Stewa...ASIS&T
Research Data Access and Preservation Summit, 2014
San Diego, CA
March 26-28, 2014
J. Steven Hughes
NASA Jet Propulsion Laboratory
Robert R. Downs
Center for International Earth Science Information Network (CIESIN), Columbia University
David Giaretta
Alliance for Permanent Access
February 18 2015 NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Network Effects: RMap Project
Sheila M. Morrissey, Senior Researcher, ITHAKA
RDAP 15 Local ICPSR Data Curation Workshop Pilot ProjectASIS&T
Research Data Access and Preservation Summit, 2015
Minneapolis, MN
April 22-23, 2015
Linda Detterman, Jennifer Doty, Jared Lyle, Amy Pienta, Lizzy Rolando and Mandy Swygart-Hobaugh
Introduction to the Research Integrity Advisor Data Management Workshop, Bris...ARDC
Dr Jacobs' introduction to the RIA Data Management Workshop in Brisbane on 31 March 2017. The RIA Data Management Workshop series is a joint collaboration of the Australian Research Council, the National Health and Medical Research Council, the Australasian Research Management Society and the Australian National Data Service.
February 18 2014 NISO Virtual Conference
Scientific Data Management: Caring for Your Institution and its Intellectual Wealth
Capacity Building: Leveraging existing library networks to take on research data
Heidi Imker, Director of the Research Data Service, University of Illinois at Urbana-Champaign
This presentation was provided by Galadriel Chilton of The Ivy Plus Library Confederation, during the NISO training series "Assessment Practices and Metrics for the 21st Century (Session Three)," held on November 8, 2019.
Semantic Similarity and Selection of Resources Published According to Linked ...Riccardo Albertoni
The position paper aims at discussing the potential of exploiting linked data best practice to provide metadata documenting domain specific resources created through verbose acquisition-processing pipelines. It argues that resource selection, namely the process engaged to choose a set of resources suitable for a given analysis/design purpose, must be supported by a deep comparison of their metadata. The semantic similarity proposed in our previous works is discussed for this purpose and the main issues to make it scale up to the web of data are introduced. Discussed issues contribute beyond the re-engineering of our similarity since they largely apply to every tool which is going to exploit information made available as linked data. A research plan and an exploratory phase facing the presented issues are described remarking the lessons we have learnt so far.
The challenge of sharing data well, how publishers can helpVarsha Khodiyar
Researchers, academic institutes and funders are increasingly recognizing the importance of data sharing for reproducible science. However, it is not always straightforward and clear to researchers as to how best to share data in a useful way. At Springer Nature we are working on several initiatives to help facilitate the sharing of research data in a reusable way, with our overarching goal being to publish research that is robust and reproducible. I will talk about the effort that goes into our flagship data journal, Scientific Data, to facilitate best practices in publication and sharing of research data, and share some of our experiences publishing Challenge datasets. I will also describe some of the newer Research Data Services that are now available to help all researchers (not only Springer Nature authors) to share their data in a useful way.
What is data discovery and how do people find out about data?
Metadata: What information helps potential users decide whether that data might be useful?
How and why do machines exchange information about research data?
Data without metadata and connections is useless:
Linked data
How Scholix is helping publishers and others to link data with publications and more
Metadata, controlled vocabularies, linked data and crosswalks
Things #11, #12, #13 of 23 Things
How do we make FAIR data? Finable, Accessible, Interoperable, Reusable?
Overview of the Research on Open Educational Resources for Development (ROER4D) Open Data initiative, highlighting data management principles, the five pillars of the ROER4D data publication approach and the project de-identification approach.
The Challenges of Making Data Travel, by Sabina LeonelliLEARN Project
1st LEARN Workshop. Embedding Research Data as part of the research cycle. 29 Jan 2016. Presentation by Sabina Leonelli, Exeter Centre for the Study of Life Sciences (Egenis) & Department of Sociology, Philosophy and Anthropology, University of Exeter
RDAP 15: Beyond Metadata: Leveraging the “README” to support disciplinary Doc...ASIS&T
Research Data Access and Preservation Summit, 2015
Minneapolis, MN
April 22-23, 2015
Part of “Beyond metadata: Supporting non-standardized documentation to facilitate data reuse”
Doing research better: The role of meta‐dataGarethKnight
Presentation given by David Leon, Professor of Epidemiology at the London School of Hygiene and Tropical Medicine in January 2012. Subsequently reused at various internal events
Presentation to IASSIST 2013, in the session Expanding Scholarship: Research Journals and Data Linkages. Describes PREPARDE workshop on repository accreditation for data publication and invites comments on guidelines.
Engaging Information Professionals in the Process of Authoritative Interlinki...Lucy McKenna
Through the use of Linked Data (LD), Libraries, Archives and Museums (LAMs) have the potential to expose their collections to a larger audience and to allow for more efficient user searches. Despite this, relatively few LAMs have invested in LD projects and the majority of these display limited interlinking across datasets and institutions. A survey was conducted to understand Information Professionals' (IPs') position with regards to LD, with a particular focus on the interlinking problem. The survey was completed by 185 librarians, archivists, metadata cataloguers and researchers. Results indicated that, when interlinking, IPs find the process of ontology and property selection to be particularly challenging, and LD tooling to be technologically complex and unsuitable for their needs.
Our research is focused on developing an authoritative interlinking framework for LAMs with a view to increasing IP engagement in the linking process. Our framework will provide a set of standards to facilitate IPs in the selection of link types, specifically when linking local resources to authorities. The framework will include guidelines for authority, ontology and property selection, and for adding provenance data. A user-interface will be developed which will direct IPs through the resource interlinking process as per our framework. Although there are existing tools in this domain, our framework differs in that it will be designed with the needs and expertise of IPs in mind. This will be achieved by involving IPs in the design and evaluation of the framework. A mock-up of the interface has already been tested and adjustments have been made based on results. We are currently working on developing a minimal viable product so as to allow for further testing of the framework. We will present our updated framework, interface, and proposed interlinking solutions.
Open from beginning to end: addressing barriers to open research - a personal...UoLResearchSupport
Open and reproducible research practises are increasingly recognised as important to scientific integrity. However, there are numerous barriers including research culture - whether as a sector, institution or discipline - lack of training and professional incentives and funding of infrastructure.
On 26 May 2021 Dr Marlene Mengoni was one of two speakers at an event exploring barriers to open research.
Dr Marlene Mengoni is a member of the Institute of Medical & Biological Engineering (IMBE) at the University of Leeds and is interested in theoretical aspects of musculoskeletal tissues biomechanics with a fundamental computational engineering approach.
Speaking from an engineering perspective, Dr Mengoni discussed how the research culture at the University of Leeds can help to foster open research practices, throughout the research cycle, including embedding "open" in research and training.
Transparency and reproducibility in researchLouise Corti
Talk given at the ESS Summer School: An introduction to using big data in the social sciences, 20-24 July 2020, University of Essex, Colchester, UK.
In the morning we look at publishing and sharing data and the importance of research replication, code sharing, examining what methodological issues peer reviewers might look for in a published paper using big data. An increasing number of journals in the sciences and social sciences expect a high degree of transparency and knowing how best to publish high quality raw (or processed data), methodology and code is a useful skill. We show how ‘data papers’ help to elucidate how datasets were constructed, compiled and processed, and help to showcase the value of data beyond the original research.
From OER to Open OER Data
Edmundo Tovar Caro (presenter)! Universidad Politécnica de Madrid!
Nelson Piedra, Janneth Chicaiza, Jorge López! Universidad Técnica Particular de Loja, Ecuador
Similar to Llebot "Research Data Support for Researchers: Metadata, Challenges, and Opportunities" (20)
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the closing segment of the NISO training series "AI & Prompt Design." Session Eight: Limitations and Potential Solutions, was held on May 23, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the seventh segment of the NISO training series "AI & Prompt Design." Session 7: Open Source Language Models, was held on May 16, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the sixth segment of the NISO training series "AI & Prompt Design." Session Six: Text Classification with LLMs, was held on May 9, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the fifth segment of the NISO training series "AI & Prompt Design." Session Five: Named Entity Recognition with LLMs, was held on May 2, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the fourth segment of the NISO training series "AI & Prompt Design." Session Four: Structured Data and Assistants, was held on April 25, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the third segment of the NISO training series "AI & Prompt Design." Session Three: Beginning Conversations, was held on April 18, 2024.
This presentation was provided by Kaveh Bazargan of River Valley Technologies, during the NISO webinar "Sustainability in Publishing." The event was held April 17, 2024.
This presentation was provided by Dana Compton of the American Society of Civil Engineers (ASCE), during the NISO webinar "Sustainability in Publishing." The event was held April 17, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the second segment of the NISO training series "AI & Prompt Design." Session Two: Large Language Models, was held on April 11, 2024.
This presentation was provided by Teresa Hazen of the University of Arizona, Geoff Morse of Northwestern University. and Ken Varnum of the University of Michigan, during the Spring ODI Conformance Statement Workshop for Libraries. This event was held on April 9, 2024
This presentation was provided by William Mattingly of the Smithsonian Institution, during the opening segment of the NISO training series "AI & Prompt Design." Session One: Introduction to Machine Learning, was held on April 4, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the eight and final session of NISO's 2023 Training Series on Text and Data Mining. Session eight, "Building Data Driven Applications" was held on Thursday, December 7, 2023.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the seventh session of NISO's 2023 Training Series on Text and Data Mining. Session seven, "Vector Databases and Semantic Searching" was held on Thursday, November 30, 2023.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the sixth session of NISO's 2023 Training Series on Text and Data Mining. Session six, "Text Mining Techniques" was held on Thursday, November 16, 2023.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the fifth session of NISO's 2023 Training Series on Text and Data Mining. Session five, "Text Processing for Library Data" was held on Thursday, November 9, 2023.
This presentation was provided by Todd Carpenter, Executive Director, during the NISO webinar on "Strategic Planning." The event was held virtually on November 8, 2023.
This presentation was provided by Rhonda Ross of CAS, a division of the American Chemical Society, and Jonathan Clark of the International DOI Foundation, during the NISO webinar on "Strategic Planning." The event was held virtually on November 8, 2023.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the fourth session of NISO's 2023 Training Series on Text and Data Mining. Session four, "Data Mining Techniques" was held on Thursday, November 2, 2023.
More from National Information Standards Organization (NISO) (20)
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Delivering Micro-Credentials in Technical and Vocational Education and TrainingAG2 Design
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5. Who am I talking to?
OREGON STATE UNIVERSITY 4
Grad students
and early
career in
classes and
workshops
Consultations
Data
management
plans
Deposit of
datasets in
institutional
repository
6. How is their data?
OREGON STATE UNIVERSITY 5
Small datasets Disciplines without well
established standards
for metadata,
interdisciplinary
8. Challenges
Enough metadata to ensure a
robust scientific process
OREGON STATE UNIVERSITY 7
Reproducibility and reuse
1 2
3
9. 1. Metadata for a robust scientific
process
OREGON STATE UNIVERSITY 8
• Concept vs application.
• Now vs later.
• Intentionally, thoroughly,
systematically
readme templates
11. 1. Context: premise of study
We asked researchers to tell
us about how they interpret
datasets through a peer-
review like process
Peer reviewers and
Librarians evaluate dataset -
how different are the
interpretations of quality?
Does/should this lead to a
revision of our curation
methods and best practices?
Flickr/AJ Cann, CC BY-SA
2. Reproducibility and reusability
12. 2. Reproducibility and reusability
● Datasets from ScholarsArchive@OSU,
institutional repository
● All datasets go through a review
process. Documentation is mandatory
● 8 datasets reviewed by 11 reviewers
11
13. 2. Reproducibility and reusability
● Is the record
sufficiently
descriptive?
Title,
abstract,
keywords.
● Are there
other
elements that
could be
added?
● Are the data easily
readable? E.g.
community formats
● Are the data of high
quality?
● Are the values
physically possible
and plausible?
● Are there missing
data?
● Contact information
● Contextual information?
● Comprehensive
description of all the data
that is there?
● Methods well described
and reproducible
● Internal references
available
● Rights to use the dataset
RECORD DATA DOCUMENTATION
14. 3. Results
● Descriptive information is critical
to a user’s ability to
understand what the data is
and whether it is potentially
useful
● Deficiencies limit the potential
reusability of the dataset.
● Areas of description work
together to create a more
complete description of the
dataset.
● Information often provided via
links to other sources: articles,
dissertations.
● Researchers are comfortable
using related articles. Librarians
value the presence of dataset
specific documentation higher
than most reviewers.
● Librarians took into consideration
whether links were accessible
and open.
INSUFFICIENT DESCRIPTION LINKS
15. 3. Results
● We ask for the same
information in multiple
documentation locations (record
metadata, documentation, and
dataset). Sometimes is in
articles too.
● Not clear how this duplication of
effort impacts data submission
quality, as the combination
typically was enough to allow the
reviewer or librarian to
understand the dataset in
detail
● Domain expertise was important
across all areas of review for
datasets. The curating librarians do
not have sufficient domain
expertise to properly evaluate the
quality of the data, or metadata.
● Reviewers confused in the areas of
licensing, rights statements,
persistent identifiers, and where
specific types of information belong -
librarian’s expertise.
DUPLICATION OF EFFORT DOMAIN EXPERTISE
16. 3. FAIR data
• F2. Data are described with rich metadata
• A2. Metadata are accessible, even when the data are no longer
available
• I1. (Meta)data use a formal, accessible, shared, and broadly
applicable language for knowledge representation.
• R1.3. (Meta)data meet domain-relevant community standards
OREGON STATE UNIVERSITY 15
17. 3. FAIR data
OREGON STATE UNIVERSITY 16
Greatest disconnect between researchers and metadata
Tools, tools, tools
Most standards are
made for metadata
specialists, not for
researchers
Support
18. 3. FAIR data
• FAIR principles are aspirational
• Disciplines are at different points in their development of
standards and tools. What for some are choices, for others are
challenges. (Jacobsen et al., 2020)
• There is a lot that is being done, but convergence may take
time.
OREGON STATE UNIVERSITY 17
19. Conclusions
OREGON STATE UNIVERSITY 18
Training and
teaching that can
be done with
support (e.g.
libraries)
Basics of metadata Tools and
translation of
concepts
Organizations and
communities that
maintain
specifications and
standards
Convergence of
standards
Organizations and
researchers talking
about metadata
20. Clara Llebot Lorente | Data Management Specialist
clara.llebot@oregonstate.edu
ResearchDataServices@oregonstate.edu
http://bit.ly/OSUData
This presentation is licensed under a CC0 license.
OREGON STATE UNIVERSITY 19
Editor's Notes
Must be in Slide Master mode to swap out photos.
Statistical tool that converts a set of variables that are interrelated to another set of variables that are independent and that account for as much as the variability of the sample as possible.
Research intensive university
I will talk about my perception of challenges experimented by researchers, and I just want to acknowledge that many are probably just doing a wonderful job, and I never interact with them because of that! Kirby Lee-USA TODAY Sports
Low hanging fruit
Metadata during the research process
Concept vs application. They understand well what metadata is, and why we should record it. But when you ask them what metadata they will collect, they will say that their project does not need metadata. Researchers writing DMP leave the metadata section blank, because they do not know what to write.
Image source: Flickr/AJ Cann, CC BY-SA in http://theconversation.com/explainer-what-is-peer-review-27797
This is a summary of the questions we asked
Reviewers reported missing methodology, information about the authors and their contact information, about licenses, and url about the dataset.
Reviewers reported missing methodology, information about the authors and their contact information, about licenses, and url about the dataset.
The FAIR principles add a step, because now we are considering not only reusability by humans, but by machines
The FAIR principles talk about metadata pretty much everywhere. I chose four subprinciples, one of each principle, to talk about in this presentation.
I think that the interoperability criteria is the most challenging, and also the one that really makes a difference.
For metadata what this means is the use of standards, which I haven’t talked about.
Giving support is challenging from the perspective of a