Effective data management is widely recognized as a necessity, including the development of robust strategies for data collection, as well as ensuring appropriate management, handling, and preservation of those data. But is this being achieved? What practices are perceived by the research community as worthwhile and fit to purpose? Are there speed bumps in our processes that need smoothing out or eliminating? Do the available platforms provide the right services to the right people at an affordable price? What emerging challenges do we need to start addressing? This event will establish the state of current practice and identify potential areas of concern.
Confirmed speakers include Kristi Holmes, Director, Galter Health Sciences Library, Northwestern University; Kristin Lee, Librarian for Research Data,Tufts University; Clara Llebot Lorente, Data Management Specialist, Oregon State University; Maria Praetzellis, Product Manager, Research Data Management, UC Curation Center, California Digital Library; Carly Strasser, Program Manager, Open Science. Chan Zuckerberg Initiative and Keith Webster, Dean of University Libraries, Carnegie Mellon University.
12:00 Noon - 12:15 Welcome
12:15pm - 12:45pm Effective data management and its role in open research
Carly will introduce the topic of data management, providing an overview of the basic practices and principles with a special focus on the connections between data management and open research practices. In an era of increasing skepticism of academia, openness and transparency of research practices is critical for establishing trust with researchers, community members, and the public.
12:45pm - 1:15pm Planning and Tools
In her talk, Maria will discuss current funder requirements for data management plans (DMPs) and practical tools developed to help researchers create effective DMPs that meet funding requirements and promote their work. She will also outline current work transforming text-based data management plans into a continuously updated living document that can guide research by integrating data management activities and plans with related systems and workflows in the research lifecycle.
1:15pm - 1:45pm Institutional Infrastructure for Data Sharing
Open and inclusive science and FAIR Practices (Findable Accessible Interoperable Reusable) are increasingly a requirement of good scholarship, driven by changing funder and cultural expectations to research access. This presentation will address openness in the context of knowledge equity and translation, explore tools and strategies to establish and advance local data policy priorities, and also introduce the InvenioRDM software project and collaborative open source community. We’re leveraging InvenioRDM, a turnkey born-interoperable research data management (RDM) repository and data index to empower discovery, reuse, and impact of a wide range of digital artifacts through best practice standards and technologies. Development is carried out by a multi-national partnership which includes CERN, Northwestern University, and over 20 other collaborators, representing academic, research, cultural, funding, and industry collaborators from around the world.
1:45pm - 2:15pm Comfort Break
2:15 - 2:45 Engage and Process (Discussion)
Attendees and speakers engage informally in conversation about what was said during the initial set of presentations.
2:45 - 3:30 Case Studies / Brief Topics
Kristin Lee of Tufts University will present on the following: Supporting Research Data is a Group Effort
Providing support for research data management on any campus, big or small, requires communication across support departments like libraries and IT. At Tufts University, research data management services are a group effort, and we have created formal and informal channels to update each other and provide referrals so that our researchers get the help they need quickly and efficiently. Creating these connections and services has been a long-term, ongoing project, and in this presentation, I will provide a look at where we are and how we got here.
Clara LLebot of Oregon State will present on the following:
In this talk we will discuss the challenges that many researchers face when tasked with recording metadata for their research data. The information comes from the interactions between researchers and librarians offering research data services at an academic university, so it mostly represents early career researchers and students, usually doing research in disciplines without well-established practices and standards. We will talk about the use of metadata standards, about tools and moments of the research cycle that are more challenging than others. We will also take a look at the perceptions of researchers as users of data, and the metadata that is most useful to them from a reusability point of view.
3:30pm - 4:00pm Vision Interview
The conversation with Keith Webster will touch on the following:
- The CMU experience in engaging with data management practices
- The FAIR principles
- Funder requirements
- Documentation and the quality of metadata
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