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Session: Data Repositories and Curation

Research data repositories: where to start? (lighting talk)

Presenter: Ignace Deroost (Atmire)

Publicly disclosing research data has been a topic within the Open Access communities for a while now. Whereas there is consensus about the expected set of functionality for traditional institutional repositories, such a shared set of expectations is still in flux for research data repositories. 

In this talk, Ignace Deroost (Atmire) will discuss two, more or less universal needs for data repositories: 

• Ensuring large files can be uploaded to the repository, which can be a challenge currently in DSpace
• Ensuring research data and research outcomes are properly connected with each other so the totality ensures maximal transparency for end users.

Presentation Slides

Data curation and DSpace REST API

Presentation Slides

Google CoLab Notebook for DRUM Tools

Presenters: Melinda Kernik and Kent Gerber (University of Minnesota)

In order to assist data curators in their work of data curation of datasets in DSpace 5, a set of Python scripts and a Google CoLab Notebook were created to automate aspects of the work and provide easy access to those tools. Now that our institution has migrated to DSpace 7.6 we had to revise and update these tools to work with the new REST API. This presentation will explain the original creation of the tools, how they were modified to work with the new DSpace REST API, and how Google CoLab is used to make the tools accessible to all the data curators to aid them in their work. How it started; how it's going: Developing Specialized Data Curation Training to Address Needed Expertise in Focused Areas

Teamwork makes the workflow

Slides: https://z.umn.edu/9ttq

Presenter: Wanda Marsolek (University of Minnesota)

This presentation will provide a very brief overview focuses on the work of the Data Curation Network (DCN), a membership organization that enhances the ethical, reusable, and the IMLS funded project, "Developing Specialized Data Curation Training to Address Needed Expertise in Focused Areas" (RE-252343-OLS-22). The presentation will focus on the experience of the simulation data cohort mentor, what went into developing curriculum for technical data types, and how other organizations or groups may go about working towards bridging the gaps in curation to further the field. The four specialized data types (code, scientific data, geo-spatial data, and simulation data) are integral to climate justice work. Training data curators how to curate the data will allow more reuse. Developing training materials, testing them out, editing and sharing globally will help those who are new to specialized data become more skilled as we all work to promote research transparency and elevate underrepresented communities when we make our teams more inclusive and data more FAIR. Wanda Marsolek (University of Minnesota) will present on the curriculum as well as the curation workflow from a curator's lensunderstandable use of research data. The presentation covers the DCN's mission, workflows, and projects, including their CURATE(D) training modules and specialized data curation for geospatial data, scientific images, code, and simulations. Additionally, the presentation outlines workflows for the University of Minnesota’s Data Repository (DRUM) and discusses the value-added impact of data curation on research quality.