LOVE DATA WEEK EVENTS AT UNCW, FEBRUARY 13-17, 2023

• Data for Social Good (panel)
• Practice Writing a Data Management Plan (writing time)
• Real-Time Data: Uses and Challenges of Data Streaming for Research (panel)
• Storage and Cloud Resources for Research Data at UNCW (Q&A)
• The Line Graph and the Slave Ship: Rethinking the Origins of Data Visualization (lecture)
• Science Communication Using Data Storytelling (panel)
• Let’s Talk about Administrative Data: A Conversation about Archiving the Data in your Office (Q&A)

 

Read the assessment report about 2023 Love Data Week. 

Data for Social Good

Date: Monday, February 13 at 1:00-2:00pm
Speakers: Chris Prentice (moderator), Adam Jones, Hayley Estrem, Daniel Soques, Blake Wiggs
Recording: https://echo360.org/media/29162b15-6435-4473-b72b-0ba3b0b687bc/public
If you watch any recording from 2023 Love Data week, please leave an evaluation: https://lib.uncw.edu/LDW23-eval

Data can be used to bring about changes that matter. In addition to its use in research that is published, read, and added to amongst scholars, it can be used to advocate for policy changes, environmental changes, social changes and more. It can be used for engaging with the local community, or improving state and national economy, or for moving towards global social justice.  Hear from various researchers about how they have used data to make an impact on society. They will reflect upon how they first recognized what impact their data could have, and how they then worked towards turning that data into a form to be practically used beyond academia.

About the Panelists

• Dr. Chris Prentice (moderator)—Professor of Nonprofit Management, Department of Public & International Affairs; and Director of Center for Social Impact 
• Dr. Adam Jones—Professor of Economics, Department of Economics & Finance
• Dr. Hayley Estrem—Assistant Professor, School of Nursing
• Dr. Daniel Soques—Associate Professor of Economics, Department of Economics & Finance; and Director of The Truist Center for Global Capitalism and Ethics
• Dr. Blake Wiggs—Director of Strategic Initiatives, The Innovation Project; and 2022 EdD graduate in Curriculum and Instruction from Watson College of Education

Resources Shared

• Resources referenced that are available at UNCW
  • UNCW Library Liaison Directory, research support by academic discipline
  • UNCW Bloomberg Accessible Workstations, business data source available
• Blake Wiggs’s dissertation (until 3/2024 restricted to UNCW users only): https://libcat.uncw.edu/record=b3945813~S4
• Healthy Communities NC, a data source with a common set of public health indicators and targets across North Carolina (UNCW collaborator Chris Prentice)
• Near Term Forward Spread Data, a data visualization indicating the future stance of monetary policy and recessions (maintained by UNCW Daniel Soques)
• UNCW Center for Social Impact, an academic center conducting interdisciplinary research with community partners, with example projects listed (directed by UNCW Chris Prentice)
• The Innovation Project (where Blake Wiggs currently works): https://tipnc.org/
• Feeding Flock Team Inc (research member Hayley Estrem): the Feeding Flock Team website providing free toolkits is not yet live, but will be soon
• NIH Policy for Data Management and Sharing: https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html
• PEARC, a data conference in July sponsored by ACM: the theme this year is Computing for the Common Good, which provides a timely chance to showcase how research computing and data science can address issues with broad societal impact in areas such as health, energy, climate, equity, and education.

 

Practice Writing a Data Management Plan

Date: Monday, February 13 at 3:00-5:00pm
Location: McNeill Hall, Room 1051-B --this is on the first floor and signs make easy to find
Facilitator: Nina Exner
PPT slides: https://tinyurl.com/ldw-nih-data 
If you have feedback about your experience during 2023 Love Data week, please leave an evaluation: https://lib.uncw.edu/LDW23-eval

As funders are increasingly asking for Data Management Plans as part of grant applications, drafting this document well will increase researchers’ project competitiveness, in addition to generally preparing researchers for better management of their data. As of January 2023, all NIH grants now require Data Management Plans, for example. Data Management Plans templates have specific questions that funders expect will be addressed. In this two hour in-person workshop, time will be provided for researchers to work on drafting quality answers to these template questions. Guidance for each topic question will be provided, and experts will be available for hands-on support during writing time.

About the Facilitator

Nina Exner, PhD, MLS, is the Research Data Librarian at Virginia Commonwealth University. Dr. Exner consults nationally about the NIH Data Management and Sharing Policy, and has been invited to speak on the DMS Policy to researchers at the AAMC's Research Technology group, the HEAL initiative data stewards, and FASEB DataWorks. She is the chair of the DMPTool's Working Group on the NIH Template and was appointed this year as the NNLM National Center for Data Services inaugural NCDS Ambassador for her work on the NIH DMS policy. 

Resources Shared

• Lynnee Argabright (UNCW data librarian)’s contact info: argabrightl@uncw.edu
• Brainstorming worksheet you could use: https://tinyurl.com/dmp-brainstorm
• Resource guide: https://libguides.uncw.edu/data_management/data_management_plans
• DMPTool.org, which Lynnee administers: https://dmptool.org
  • Request feedback on your DMP using the “Request Feedback” button in DMPTool (or just email a doc directly to Lynnee)
• Dataverse, UNCW's institutional data repository: https://dataverse.unc.edu/dataverse/uncw
• NIH Data Management and Sharing Policy: https://sharing.nih.gov/data-management-and-sharing-policy/about-data-management-and-sharing-policies/data-management-and-sharing-policy-overview#after
  • Checklist for Researchers: https://osf.io/awypt
  • Example DMPs: https://example-dms-plans.github.io/examples/
  • Example DMP with annotations: https://osf.io/euaty
• NSF Data Management Policy: https://www.nsf.gov/bfa/dias/policy/dmp.jsp
  • Checklist for Researchers (from Caltech): https://authors.library.caltech.edu/records/sryb5-5vz57
• Open Educational Resource “Learning Data Ethics for Open Data Sharing” https://scalar.usc.edu/works/learning-data-ethics-for-open-data-sharing/index

 

 

Real-Time Data: Uses and Challenges of Data Streaming for Research

Date: Tuesday, February 14 at 10:00-11:00am
Speakers: Ray Danner (moderator), Ulku Clark, Ryan Mieras, Joanne Halls, Mark Lammers, Minoo Modaresnezhad
Recording: https://echo360.org/media/ee313040-1c5e-4c42-ab3f-bd2c032a2f6b/public 
If you watch any recording from 2023 Love Data week, please leave an evaluation: https://lib.uncw.edu/LDW23-eval

Real-time data is information delivered immediately; depending on the need, the use of data streams can keep research up to date for immediate accuracy and depth in analysis, or continually updating earlier data for shared visualizations such as data dashboards—like COVID-19 data trackers. This panel will showcase examples of research projects at UNCW involving real-time, near real-time, or batch processing. It will highlight benefits and challenges for its use, and break down various conditions and practices involved when using real-time data, including the set-up, collection, analysis, and maintenance of the data.

About the Panelists

• Dr. Ray Danner (moderator)—Assistant Professor, Department of Biology and Marine Biology
• Dr. Ulku Clark—Professor of Management Information Systems, Congdon School of Supply Chain, Business Analytics, and Information Systems; and Director of the Center for Cyber Defense Education
• Dr. Ryan Mieras—Assistant Professor of Coastal Engineering, Department of Physics and Physical Oceanography
• Dr. Joanne Halls—Professor of Geography, Department of Earth and Ocean Sciences
• Dr. Mark Lammers--Professor, Department of Mathematics and Statistics; Director, Data Science Program
• Dr. Minoo Modaresnezhad--Assistant Professor, Congdon School of Supply Chain, Business Analytics, and Information Systems

Resources Shared

• Panelists’ PPT
• Ray Danner’s project “Detections of migratory birds passing Masonboro Island”: https://motus.org/dashboard/#e=profile&d=stations&selections=12461
• Examples of Joanne Halls’s data projects using GIS applications: Flood Risk, Wetland Change, King Tides, and Upstream Salinity Extent
• Article by Joanne Halls (2020): “A Multi-Decadal Investigation of Tidal Creek Wetland Changes, Water Level Rise, and Ghost Forests”
• ESRI ArcGIS examples: https://doc.arcgis.com/en/dashboards/gallery/
• UNCW has access to PowerBI through Office365
• Tableau Public, a free version that UNCW can use: https://public.tableau.com/
  • Recent training about how to use Tableau (Fall 2022): https://echo360.org/media/99047d06-5ae2-4816-bc61-4759967897cc/public
• UNCW panel about citizen science (recording from 2022 Love Data Week): https://library.uncw.edu/love_data_week_2022#citizen
• CORMP, another UNCW real-time data project, for storm tracking

 

 

Storage and Cloud Resources for Research Data at UNCW

Date: Tuesday, February 14 at 2:00-3:00pm
Speaker: Parker Moran
Recording: https://echo360.org/media/7ff0fd9c-a0ab-4293-94e2-a316ef830144/public
If you watch any recording from 2023 Love Data week, please leave an evaluation: https://lib.uncw.edu/LDW23-eval

UNCW ITS (Information Technology Services) support for Research Computing is growing as faculty and students embark on research projects that demand more in the way of technology resources. In this forum, we will discuss new solutions that are available to researchers for storing large data sets in the cloud at no cost. We will also highlight new offerings through a partnership with AWS (Amazon Web Services) that changes the model of technology consumption and shortens the procurement process from months to minutes. Join Parker Moran, director of Networks, IT Operations, and Research, to learn about available infrastructure resources and ask questions specific to your research data needs.

About the Speaker

Parker Moran is Director of Networks, IT Operations, and Research in Information Technology Services (Campus ITS)

Resources Shared

• Parker Moran (Director of Networking, IT Operations & Research)'s contact info: moranp@uncw.edu
• Last year's session (recording) about IT services more generally: https://library.uncw.edu/love_data_week_2022#storage
• NCSU HPC service (just for examples. Once we finalize this agreement with NCSU, we'll create a UNCW webpage): https://hpc.ncsu.edu/main.php
• Data Classification Standards, categorized by data sensitivity level (available to UNCW-affiliated community)

 

 

The Line Graph and the Slave Ship: Rethinking the Origins of Data Visualization

Date: Wednesday, February 15 at 2:00-3:15pm
Speaker: Lauren Klein
Recording: https://echo360.org/media/c2780f3a-9aaf-4453-916a-a3cc9d5c55c4/public
If you watch any recording from 2023 Love Data week, please leave an evaluation: https://lib.uncw.edu/LDW23-eval

In the world today, when we encounter a line graph or a pie chart, we tend to think of the role of visualization—if we think of it at all—as simply revealing the meaning of the data underneath. The reality, however, is that the act of visualizing data generates meaning in and of itself. “The Line Graph and the Slave Ship” returns to the origins of modern data visualization in order to excavate this meaning. Exploring two examples of early data visualization—the line graphs of British trade data included in William Playfair’s Commercial and Political Atlas (1786) and the Diagram of a Slave Ship (1789) created and circulated by a group of British antislavery activists—this talk will connect Enlightenment theories of visual and statistical knowledge to contemporaneous ideas about race and nation. By examining and re-visualizing the data associated with these charts, I will further show how data visualization always carries a set of implicit assumptions—and, at times, explicit arguments—about how knowledge is produced, and who is authorized to produce it. Placing this visualization work in the context of my larger project, Data By Design: An Interactive History of Data Visualization, I will conclude with a consideration of the ethics of visualization in the present. Through a discussion of contemporary examples, I will show how data visualization can bear witness to instances of oppression at the same time that it can—if intentionally designed—hold space for what cannot be conveyed through data alone. 

About the Speaker

Lauren Klein is Winship Distinguished Research Professor and Associate Professor in the departments of English and Quantitative Theory & Methods at Emory University, where she also directs the Digital Humanities Lab. Before moving to Emory, she taught in the School of Literature, Media, and Communication at Georgia Tech. Klein works at the intersection of digital humanities, data science, and early American literature, with a focus on issues of gender and race. She has designed platforms for exploring the contents of historical newspapers, modeled the invisible labor of women abolitionists, and recreated forgotten visualization schemes with fabric and addressable LEDs. In 2017, she was named one of the “rising stars in digital humanities” by Inside Higher Ed. She is the author of An Archive of Taste: Race and Eating in the Early United States (University of Minnesota Press, 2020) and, with Catherine D’Ignazio, Data Feminism (MIT Press, 2020). With Matthew K. Gold, she edits Debates in the Digital Humanities, a hybrid print-digital publication stream that explores debates in the field as they emerge. Her current project, Data by Design: An Interactive History of Data Visualization, 1786-1900, was recently funded by an NEH Digital Humanities Advancement Grant.  

Resources Shared

• Data by Design: Dr. Klein's new research project: https://dataxdesign.io/
  • W.E.B. Dubois chapter on Dr. Klein's website: https://dev.dataxdesign.io/chapters/dubois
• Data Feminism, Dr. Klein’s previous co-authored book: https://data-feminism.mitpress.mit.edu/
• Mona Chalabi's Instagram account (worth following): https://www.instagram.com/monachalabi/?hl=en
• Books by Edward Tufte, a big name in the data visualization world: Beautiful Evidence (https://libcat.uncw.edu/record=b2025293~S4) and The Visual Display of Quantitative Information (https://libcat.uncw.edu/record=b1932174~S4)
• Interesting Narrative of the Life of Olaudah Equiano book by Olaudah Equiano: https://libcat.uncw.edu/record=b3289563~S4
• Dark Matters: On the Surveillance of Blackness book by Simone Browne: https://libcat.uncw.edu/record=b3249149~S4
• Design Justice Network: https://designjustice.org/
• Anti-Eviction Mapping Project: https://antievictionmap.com/
• Eviction Lab (from Princeton): https://evictionlab.org/map
• Covid Black Homegoing: https://covidblack.org/homegoing
• DataBasic, by Data Feminism co-author Catherine D’Ignazio, a tool introducing data analysis and storytelling concepts: https://databasic.io/en/
• Digital_Humanities book by Johanna Drucker--scroll to the "Read Open Access" button under the book cover picture https://mitpress.mit.edu/9780262528863/digital_humanities/
• Accessibility Best Practices guide should be out soon and will be posted at https://libguides.uncw.edu/data_visualization/accessibility_in_data_viz

 

 

Science Communication Using Data Storytelling

Date: Thursday, February 16 at 3:00-4:00pm
Speakers: Ian Weaver (moderator), Kevin McClure, Peter Haproff, Wendy Strangman, Jared Kerr
Recording: https://echo360.org/media/2bac3017-942d-4864-a4b0-0dcaa6050ca4/public
If you watch any recording from 2023 Love Data week, please leave an evaluation: https://lib.uncw.edu/LDW23-eval

Science communication is, in essence, the practice of describing to others about the research you do. One effective method is through data storytelling-- incorporating graphs and visualizations into a narrative to convey specific insights from your results. Science communication is a vital skill that can be used to drive practical change and clarify meaning about a research topic, and especially to engage with public audiences and scholars unfamiliar with your research. Researchers at UNCW will describe their experiences about how they have effectively communicated their own research to various audiences with the use of figures, visualizations, infographics, and other data objects. This panel will thus offer several disciplinary perspectives about what works and what doesn’t work when it comes to wrangling a research project into a concise, clear narrative.  The session will be geared especially (but not exclusively!) for graduate students.

About the Panelists

• Dr. Ian Weaver (moderator)—Assistant Professor, Department of English
• Dr. Kevin McClure—Associate Professor of Higher Education, Department of Educational Leadership
• Dr. Peter Haproff—Assistant Professor of Geology, Department of Earth and Ocean Sciences
• Dr. Wendy Strangman—Assistant Professor, Department of Chemistry & Biochemistry
• Jared Kerr—Clinical Associate Professor & Graduate Program Coordinator, Clinical Research Program, School of Nursing

Resources Shared

• Graph Selection Matrix tip sheet: http://www.perceptualedge.com/articles/misc/Graph_Selection_Matrix.pdf
• Designing Effective Tables and Graphs tip sheet: http://www.perceptualedge.com/images/Effective_Chart_Design.pdf
• "Stasis Theory": https://owl.purdue.edu/owl/general_writing/the_writing_process/stasis_theory/index.html
• Some examples of Kevin's news writings (in which he uses data viz)
• COMPASS, an organization supporting science communication training: https://www.compassscicomm.org/
• Twitter account Just Says ‘in Mice’: https://twitter.com/justsaysinmice
• R-Ladies organization (about R coding) that anyone can join: https://rladies.org/
• “Nobody knows and nobody cares so be entertaining and stay on time”

 

 

Let’s Talk about Administrative Data: A Conversation about Archiving the Data in your Office

Date: Friday, February 17 at 10:00-11:00am
Speaker: Adina Riggins
PPT slides: https://lib.uncw.edu/admin_data
If you have feedback about your experience during 2023 Love Data week, please leave an evaluation: https://lib.uncw.edu/LDW23-eval

In an interactive workshop, the university archivist will introduce research support and administrative staff to the UNC System Records Schedule--a tool to help determine when to retain, dispose or archive university information, including data. University Archives collects administrative reports and data dashboards of long-term historical value, and advises offices on how to preserve and archive these records.

About the Speaker

Adina Riggins is the University Archivist at UNCW Library

Resources Shared

• Adina Riggins (UNCW University Archivist)’s contact info: rigginsa@uncw.edu
• UNC System Records Retention Schedule: https://lib.uncw.edu/unc_records
• UNCW Records Management: https://library.uncw.edu/archives_special/records-management
• UNCW Digital Collections: https://digitalcollections.uncw.edu/
• UNCW Web Archive: https://archive-it.org/home/uncw
• Wayback Machine: https://archive.org/web/
• The repository used at UNCW to publicly share datasets themselves is Dataverse, which Lynnee Argabright (UNCW Data Librarian) administers: https://dataverse.unc.edu/dataverse/uncw

 

Data: Agent of Change #LoveData23

For its second year, UNCW Library and Research & Innovation are co-presenting Love Data Week (February 13-17, 2023), an international celebration of data. A series of online workshops, panels, and spotlights about research data will be hosted throughout the week to build campus community and highlight various aspects of data.

This year’s theme is "Data: Agent of Change." Data can be a useful resource for change agents. Researchers working on a social justice topic, for example, can use data to make their case for policy changes. 

Join the Global Conversation

Various institutions besides UNCW are celebrating Love Data Week. You can find out more about Love Data Week, and see—and attend!—other institutions’ events, at https://www.icpsr.umich.edu/web/ICPSR/cms/4544.

Throughout the week, feel free to tweet or post about interesting things you’ve learned about data! Use the hashtag #LoveData23. 

Contact

If you require a reasonable accommodation to enjoy and participate in these events, or if you have questions or feedback, please direct your inquiries to Lynnee Argabright, Research Data Librarian at UNCW (ArgabrightL@uncw.edu). 

 

Continuing Education

• Sign up to receive information updates from the library’s Scholarly Research Services team
• Scholarly Research Services workshops throughout each semester: learn how to use research tools and methods related to the research lifecycle (research design through publication).
• Sign up to learn more about funding programs
• Research and Innovation Training Events each month: delve into the details related to grant funding opportunities.

 

Report

Read the 2023 final assessment report.