Tuesday, October 15, 2019. 9am - 5pm, in Cornell's ILR Conference Center.
Join data experts and researchers to find solutions for data problems, share and learn effective tools and techniques, and network with colleagues from different fields across the university. #cornelldayofdata
Day of Data events will include
- a keynote address and discussion panel in the morning
- a data services FAIR during lunch - learn about services at Cornell to make your data Findable, Accessible, Interoperable and Reusable
- afternoon sessions and workshops
The morning keynote and panel is open to all, and registration is required for lunch and the afternoon workshops.
Registration is now closed. We encourage you to attend the morning keynote and panel; remaining workshop spaces will be filled on a first-come, first-served, walk-in basis as space allows. We will have only enough food for pre-registered attendees, but please feel free to bring food and join in our networking lunch, or browse around our FAIR data services fair. Plan to join virtually? Please see our Guide for Virtual Participants.
Our Code of Conduct applies to virtual attendees as well as those present in person. Please be respectful of all participants and refrain from hurtful, non-constructive comments or questions.
We welcome your feedback on how the event is going and ideas for the future: http://bit.ly/DayOfDataFeedback.
Registration is not needed to attend the keynote, morning panel, or FAIR data services Fair.
Lunch will be provided for the first 120 in-person registrants* (Sept 30 deadline). Confirmation will be emailed by Oct 4.
* As of 09/30/2019, all lunch registration slots are full, and registration is closed.
The Cornell Day of Data event is open to the public, but priority for on-site participation will be given to members of the Cornell community.
We hope you are able to come take advantage of this networking opportunity, but If space does become an issue, we encourage you to join us remotely.
Slides from presenters and workshops will be shared on our OSF Meetings site: https://osf.io/meetings/cornelldayofdata2019/.
Zoom URL For Virtual Attendees
|9:00 - 9:15||Registration||ILR 3rd Floor Lobby|
|9:15 - 9:30||Welcome and Opening Remarks: Gerald Beasley, Carl A Kroch University Librarian||ILR Room 423|
|9:30 - 10:30||Keynote Presentation: David Mimno, Associate Professor Information Science||ILR Room 423|
|10:30 - 10:45||Break|
|10:45 - 11:45||Panel: Data Challenges and Solutions||ILR Room 423|
|11:45 - 12:00||Lightning Round Introduction to FAIR services Fair||ILR Room 423|
|12:00 - 1:15||Networking Lunch and FAIR services Fair (Registration Required)||Lunch will be served on the 4th floor;
Data Services FAIR is in ILR 425
|1:15 - 2:15||Workshop Block 1: Data Visualization||ILR Room 423||https://cornell.zoom.us/j/651516374|
|Workshop Block 1: Big Data Computing||ILR Room 225|
|Workshop Block 1: Navigating Demographic Data with the American Census||ILR Room 525||https://cornell.zoom.us/j/533590746|
|2:15 - 2:30||Break|
|2:30 - 3:30||Workshop Block 2: Working with Twitter Data||ILR Room 423||https://cornell.zoom.us/j/651516374|
|Workshop Block 2: Globus||ILR Room 425||Note: New Zoom Link! https://cornell.zoom.us/j/743149446|
|Workshop Block 2: Research Recordkeeping||ILR Room 225|
|Workshop Block 2: Roper Center||ILR Room 525||Note: New Zoom Link! https://cornell.zoom.us/j/533590746|
|3:30 - 3:45||Afternoon Break with Refreshments|
|3:45 - 4:45||Workshop Block 3: Data Sharing and Metadata||ILR Room 423||https://cornell.zoom.us/j/651516374|
|Workshop Block 3: Birds-of-a-feather / Discussion Tables||ILR Room 425||Note: New Zoom Link! https://cornell.zoom.us/j/743149446|
|Workshop Block 3: Protect Your Research Data||ILR Room 225|
|Workshop Block 3: Birds-of-a-feather / Discussion Tables||ILR Room 525||Note: New Zoom Link! https://cornell.zoom.us/j/692706943|
David Mimno will share his creative and impactful ways of engaging data, and will help learners & researchers from all kinds of backgrounds identify the potential for their data to impact communities, both local and beyond.
David's talk is titled "Data Science and Data Scholarship" and he describes the topic like this:
Data science has begun to have impact in a broad range of disciplines from biomedicine to the humanities. Our view of data science is often highly abstract and mathematical. This view is in contrast to the lived experience of data scientists, who spend much more time collecting and curating datasets than optimizing loss functions. In this talk I will argue that the humanities have a lot to say to data science. Using some examples from text analysis, I will show that scholarly perspectives can inform data science practices, from a focus on robustness and data context and provenance to ethics and the specificity of individual experiences.
David Mimno is an associate professor in the department of Information Science at Cornell University. He holds a PhD from UMass Amherst and was previously the head programmer at the Perseus Project at Tufts and a researcher at Princeton University. His work is supported by the Sloan foundation and the NSF. His interests include topic modeling, finding links between machine learning/natural language processing and humanistic questions, and collaboration across disciplines.
Learn more about Dr Mimno's work at https://mimno.infosci.cornell.edu/
Panel: Data Challenges and Solutions
No matter where you are in your research career, there will always be new and different obstacles to overcome, and new and different ways to overcome them! Our morning panel will be a multidisciplinary conversation about how several researchers faced and worked through their own data management challenges. Join us to learn new perspectives on addressing data-related challenges in your research; there will be time for questions and discussions following the panelists' presentations. Our panel will be moderated by Nina Therkildsen, assistant professor in the Department of Natural Resources.
- Drew Margolin: Drew is an assistant professor in the Department of Communication. His research focuses on understanding the role that accountability, credibility, and legitimacy within social networks and communities play in shaping observable discourse. https://communication.cals.cornell.edu/people/drew-margolin/
- Katherine Muller: Katherine is a post-doctoral associate in the Drinkwater lab in the Horticulture Section of the School of Integrative Plant Science. She studies plant-microbe interactions in legume cover crops used to improve soil fertility. https://hort.cals.cornell.edu/people/katherine-muller/
- Kelsey Utne: Kelsey is a PhD student in the Department of History. Her research focuses on memorialization and public history in late colonial and early postcolonial South Asia, with a particular interest in war memorials, cemeteries, and cremation grounds. https://web.archive.org/web/20211208050328/http://kelseyutne.com/
Lunch and Data FAIR
Lunch is provided for registered attendees (registration is now closed); everyone is encouraged to wander through a data services FAIR during lunch and learn about services at Cornell to make your data Findable, Accessible, Interoperable and Reusable.
Afternoon workshops will be organized along 4 tracks: data exploration and analysis; infrastructure; data management tools and practices; and data discovery. We will also have an option for a birds-of-a-feather / informal discussion groups during the final hour. Workshop registration is now closed; please join us virtually using the zoom links in the Workshop Schedule.
|Time||ILR Room 423||ILR Room 225||ILR Room 425||ILR Room 525|
|Zoom URL||https://cornell.zoom.us/j/651516374||https://cornell.zoom.us/j/530368280||Note: New Zoom Link!
|Note: New Zoom Link!
|1:15 - 2:15||Data Visualization||Big Data Computing||(No Workshops)||Navigating Demographic Data with the American Census|
|2:30 - 3:30||Working with Twitter Data||Research Recordkeeping||Globus||Roper Center|
|3:45 - 4:45||Data Sharing and Metadata||Protect Your Research Data||Birds-of-a-feather / Open Discussion||Birds-of-a-feather / Open Discussion|
- Data Visualization Data Visualization is one of the most important ways to communicate your research findings. Erika Mudrak (CSCU) will present guidelines and best practices for creating graphs and figures that accurately and effectively convey the results of your research and the message you want to tell.
- Big Data Computing Representatives from IT @ Cornell, the Center for Advanced Computing (CAC) and the Institute for Biotechnology will discuss various options for big data storage and cluster computing available to Cornell researchers.
- Navigating Demographic Data with the American Census: past, present, future Are you conducting statistical evaluations of US census data? Or, do you need to know how to access, assess and appropriately use demographic data from public sources? Join this workshop with Warren Brown (CISER), Lynda Kellam (CISER), and Amelia Kallaher (Mann Library) to learn about the US Census and how to access data and digital content from the Decennial Censuses, IPUMS, NHGIS, and the new data.census.gov platform.
- Working with Twitter Data Twitter provides a rich global source of social media content. Melanie Walsh (Information Science) will discuss how to collect and analyze Twitter data with the Python/command line tool "twarc".
- Globus Globus is a research data management system that provides fast, reliable and secure file transfers and data sharing, as well as publication and discovery functionality. Ben Trumbore (Cornell Center for Advanced Computing) will provide an overview of Globus, and how to use it.
- Research Record-keeping Learn basic good practices, and get an introduction to two tools available to you here at Cornell. The Open Science Framework (OSF) is a free, open platform to support research and enable collaboration; Lab Archives is an online electronic lab notebook. Erica Johns (Mann Library) and Wendy Kozlowski (Cornell Library) will demo the platforms and discuss how they can be used for research record-keeping and project management.
- Roper Center The Roper Center for Public Opinion Research at Cornell University is the world's largest archive of public opinion data, with a collection of over 24,000 datasets and a database of more than 720,000 US national polling questions and topline results. Kathleen Weldon (Roper Center) will provide an overview of the archive and the Center's new user portal, including a review of collaborative grant opportunities for Cornell researchers interested in access to the "hidden treasures" of the Roper collection.
- Protect your Research Data Data protection isn't a secret at Cornell! Meryl Bursic (Cornell Privacy Office) and Elena Goloborodko (CISER) will discuss the basics of information privacy and cybersecurity, and share campus resources available to help protect your research.
- Data Sharing and Metadata Many funders and publishers are mandating researchers to provide public access to research results. Come learn about current requirements, options for how to make your data publicly accessible, and best practices around metadata to provide alongside your data so it can be found and understood. (Instructor: Wendy Kozlowski, Cornell Library)
- Birds-of-a-feather / Informal Discussions: Join fellow students, faculty, and staff to discuss topics that are of interest to you! You'll be able to network and exchange ideas, insights, and experiences. To suggest a topic for one of these sessions please use this birds-of-a-feather box note, or suggest ideas on the day of the workshop.