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Call for Participation: DCN Curation Workshop For Specialized Data Types

The Data Curation Network as part of the IMLS funded project,  “Developing Specialized Data Curation Training to Address Needed Expertise in Focused Areas“ (RE-252343-OLS-22) is excited to announce a two-day in-person workshop on October 17-18, 2023, at the Duke Campus in Durham, NC. This project uses a community-based approach to develop new curriculum materials for…

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Good ideas come from everywhere: Reflections from the DCN’s Specialized Data Curation Workshop

This post was authored by intern Maria Lee , as part of DCN’s partnership with the National Center for Data Services (NCDS). These internships are funded with Federal funds from the National Library of Medicine (NLM) and the National Institutes of Health (NIH).* This summer, I am an intern with the Data Curation Network through…

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Institutional Repository Readiness Virtual Learning Series

In April, we shared our new research project, “Sustaining Open Research: Institutional Repository Readiness,” which focuses on supporting IRs that share data in demonstrating alignment with and evaluation of the Desirable Characteristics of Data Repositories for Federally Funded Research (DC-DR). As part of this work, we are hosting a series of virtual learning days that…

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NIH-DCN Specialized Curation Workshop Recap

Last week, we had the pleasure to travel to Bethesda, Maryland, to offer a specialized data curation workshop. As part of a collaborative learning series between the National Institutes of Health (NIH) and the Data Curation Network, this workshop brought together individuals from across the United States, in particular institutions with limited curation support. This…

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Presenting the CURATE(D) Online Modules

Thanks to generous funding from the Institute of Museum and Library Services (IMLS), Grant  #RE-85-18-0040-18, the DCN is proud to share online training modules that follow our CURATE(D) workshop curriculum. The goal of the CURATE(D) Training, both in person and through these modules, is to offer an introduction to applied data curation. This new, interactive…

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Instructional Cohorts Kick Off Meeting Recap

The IMLS DCN grant “Developing Specialized Data Curation Training to Address Needed Expertise in Focused Areas” kicked-off with an in-person meeting held January 25-26, 2023 in Washington DC. The Duke in DC headquarters served as our inspiration meeting venue as 16 members of the instructional cohorts selected via an expertise-driven application process (see full list…

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Love Data Week 2023: Virtual CURATE(D) Training

In celebration of Love Data Week, join the Data Curation Network on February 16, from 1-4pm Eastern for an interactive webinar on curating research data using our CURATE(D) workflow.  This condensed version of our two day training will provide attendees with an overview of curation practices. Attendees will leave with additional resources to support their…

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Recap: GO-FAIR US and DCN Webinar on Institutional Data

For those who were unable to attend our collaborative webinar with the GO-FAIR US office, University Data Governance and FAIR Data Environments, we are pleased to share the recording.  During the discussion moderated by Abigail Goben, speakers David Butcher, Lisa Johnston, and Pegah Parsi discussed different components of data governance. This conversation covered many topics,…

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Applications Now Open – CURATE(D) Workshop at NIH

As part of a collaborative learning series between the National Institutes of Health (NIH) and the Data Curation Network, we are pleased to offer an in-person data curation workshop April 12-13, 2023, at the NIH Campus in Bethesda, Maryland. This free two-day training session uses the CURATE(D) workflow as a training foundation, and will bring…

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Building community-driven instructional cohorts for specialized data types

As part of the IMLS grant “Developing Specialized Data Curation Training to Address Needed Expertise in Focused Areas“ (RE-252343-OLS-22), the Data Curation Network and partners are currently recruiting information professionals working within academic libraries and/or archives for instructional cohorts to develop new curriculum for four specialized data types – code, geospatial data, scientific images, and…