This guest post from Sara Mannheimer and Ryer Banta is about introducing undergraduates to the foundations of research data management through something everyone can relate to—organizing personal digital files. You can read more about their experience in The Complete Guide to Personal Digital Archiving which features their co-authored chapter, “Personal Digital Archiving as a Bridge to Research Data Management”
In 2016, we were both working at Montana State University Library, but working in totally different divisions. Sara was the Data Management Librarian with a focus on research data management and data management planning for faculty and graduate students. Ryer was the Undergraduate Experience Librarian, focusing on information literacy instruction and support for undergraduate students. In many ways it would seem that we were living in very different parts of the library.
Although our jobs were quite different, we connected over our shared conviction that undergraduates would benefit from learning fundamental research data management skills. Undergraduates are entering a data-driven job market, where skills related to data management are in high demand. In industry, data scientists are working in a wide variety of sectors, and in academia, researchers are increasingly required to publish research data. Tailoring research data management lessons to undergraduates also served a key student population at MSU. Montana State University is a mid-sized university with about 16,500 total students, about 14,000 of whom are undergraduates. So we knew that there could be a big potential impact if we could figure out a meaningful way to help undergraduates build research data management skills.
As we began to think about creating a useful and meaningful research data management related lesson for undergraduates, our immediate challenge was figuring out how to get over the hurdle of making research data management relevant. Most undergraduates do not encounter research data on a regular basis, and we wanted to connect research data management to their daily life, their current schoolwork, or ideally both. The instructional principle of making lessons relevant may seem to be fairly common sense, but it is also supported by constructivist learning theory. We dipped our toes into this rich area of scholarship while developing our lesson, focusing on a couple of aspects of constructivist learning theory. For anyone developing learning experiences, we highly recommend dipping your toes, and even diving headlong, into constructivist learning theory and related theories.
Constructivist learning theory encompasses several principles, but we focused on the principles related to active, student-focused discovery. Two core tenets of constructivist learning theory specify that:
- New learning builds on prior knowledge. By tapping into students’ past experiences, educators can create a learning sequence that extends from prior knowledge to the current lesson to a lifelong pattern of curiosity and learning.
- Meaningful learning develops through “authentic” tasks. Activities conducted in class should simulate activities that students will use in their class assignments and in their real lives. This strategy ensures that the skills students learn in the classroom have direct relevance to their lives outside of the classroom.
Applying these tenets provided us with new insights about how to make research data management relevant for undergraduates. Given that new learning builds on prior knowledge, we aimed to understand students’ prior knowledge regarding data, tap into students’ past learning experiences, and then build upon that knowledge in the classroom. Given that meaningful learning develops through “authentic” tasks, we aimed to teach concrete, relatable skills that could be practiced both during instruction and afterwards. We wanted to position research data management skills in the context of students’ current lives, rather than promising a theoretical applicability to an abstract future career.
Taking a cue from constructivist learning theories, we realized that we could start with data that students already use and manage on a daily basis, specifically their digital files on their computers. At the same time, we also realized that many of the basic principles of research data management are also found in personal digital archiving practice. These dual realizations helped us focus our lesson on principles and practices that could be immediately applied to students’ digital files. In fact, in our lesson, we designed activities that got students started on reorganizing their files following personal digital archiving best practices. We organized our lesson into four key sections:
- Set the stage. Students describe the use, importance, and challenges of data within their discipline or other personally relevant contexts. This step helps prepare students to apply the lesson to their own lives.
- Basics of personal digital archiving. Students discover basic personal digital archiving strategies and principles that are also used to manage research data. This step provides a foundation of knowledge that informs in-class activities.
- Apply learning with activities. Students apply personal digital archiving strategies and principles to organize and document their own files and data. This step provides students with hands-on experience with personal digital archiving strategies.
- Debrief to connect personal digital archiving to research data management. Students reflect upon the value of the personal digital archiving principles and practices for their own personal data and discover the connection and similarities between personal digital archiving and research data management. This step allows students to process the lesson and consider future applications of the skills they learned.
We have had success with this lesson, and we have found that teaching personal digital archiving practices can act as a bridge that connects key practices of research data management to students’ everyday lives. Personal digital archiving builds on students’ prior knowledge of their digital belongings, and allows students to learn through authentic tasks that have immediate relevance to their daily lives. We hope that other librarians and educators can adapt and reuse the basic instructional strategies that we developed in their own learning contexts. Critical thinking about managing digital materials—whether personal files or research data—is a foundational skill that will benefit students during their undergraduate education and in their future careers.
Ryer Banta is the information literacy and technology librarian at Centralia College (WA), where he manages digital resources and services, and helps learners develop information literacy and lifelong learning skills. His research interests include open education, instructional design, educational technology, information literacy, and user experience.
You can follow Ryer on Twitter @RyerBanta
Sara Mannheimer is the data librarian at Montana State University in Bozeman, where she facilitates research data management and sharing, and promotes digital scholarship using library collections and “big data” sources. Her research focuses on data management practices, data discovery, digital preservation, and the social, ethical, and technical issues surrounding data-driven research.
You can follow Sara on Twitter @saramannheimer
The Complete Guide to Personal Digital Archiving helps information professionals break down archival concepts and best practices into teachable solutions. Whether it’s an academic needing help preserving their scholarly records, a student developing their data literacy skills or someone backing up family photos and videos to protect against hard-drive failure, this book will show information professionals how to offer assistance.
Find out more about the book and read a sample chapter here.
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Facet Publishing have announced the release of The Complete Guide to Personal Digital Archiving, edited by Brianna H Marshall
Academics and the general public alike need help managing the digital information they create and save every day. But how can librarians and archivists translate their professional knowledge into practical skills that novices can apply to their own projects? The Complete Guide to Personal Digital Archiving helps information professionals break down archival concepts and best practices into teachable solutions. Whether it’s an academic needing help preserving their scholarly records, a student developing their data literacy skills or someone backing up family photos and videos to protect against hard-drive failure, this book will show information professionals how to offer assistance.
Featuring contributions from experts working in a variety of contexts this practical resource will help librarians, digital curators and archivists empower people from all walks of life to take charge of their personal digital materials. Key coverage includes explanations of common terms in plain language, quick, non-technical solutions to the most frequent user requests and guidance on how to archive social media posts, digital photographs and web content.
Marshall said, “From the outset, my intention has been for this book to be used as a primer for information professionals who haven’t been quite sure how to approach personal digital archiving (PDA) yet. My hope is that they become not just informed but also excited to pass along critical skills that will help equip members of their communities to have a less painful and more fruitful PDA journey. I am convinced that sharing even simple principles for how to store, share, and preserve digital objects will benefit our users in both their personal and professional lives. The chapters are intentionally practitioner-focused so that after finishing this book, readers will feel ready to start conversations and make amazing things happen within their communities.”
Brianna H Marshall is director of research services at the University of California, Riverside. Previously, she was digital curation coordinator at the University of Wisconsin-Madison. She holds master of library science and master of information science degrees from the Indiana University School of Informatics and Computing.