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Monthly Roundup - April 2022

Update: Save the Date: DCN’s All-Hands Meeting 2022 will be held
June 28-June 30!

• The All Hands Meeting 2022 Planning Committee is finalizing a schedule now— we hope to share it soon!

  • Special thanks to Hoa Luong, Neggin Keshavarzian, Wanda Marsolek, and Dorris Scott for their work!

• Hot off the press: DCN releases CURATE(D) Workflow, 2.0

  • This new version of the CURATE(D) steps includes:

    • A preamble, that includes information about how to use the CURATE(D) steps, in particular the iterative nature of curation and prompting questions to consider whether data should be shared.

    • Key ethical considerations at each step and accessibility concerns

    • Standardized formatting and more inclusive language, to expand the applicability of the workflow beyond data curators to include data creators.

  • Read the full press release — and compare the new release with the archived version of the CURATE(D) Workflow

  • A huge thanks to the numerous working groups and individual DCN Curators who contributed to this effort.

• ICYMI:

  • DCN responds to Cultural Proficiencies For Racial Equity: A Framework

  • Get to know DCN Curator, Matt Chandler!

• Data Soup — Rescheduled date and time!

  • Soup’s on! Join the DCN and the Journal of e-Science Librarianship (JeSLIB) for Data Soup on Friday the 13th from 1-2pm EST. 👻

    For this webinar, we have:

    • Plain Text & Character Encoding: A Primer for Data Curators Seth Erickson

    • (Hyper)active Data Curation: A Video Case Study from Behavioral Science Kasey C. Soska, Melody Xu, Sandy L. Gonzalez, Orit Herzberg, Catherine S. Tamis-LeMonda, Rick O. Gilmore, and Karen E. Adolph

    • Responding to Reality: Evolving Curation Practices and Infrastructure at the University of Illinois at Urbana-Champaign Hoa Q. Luong, Colleen Fallaw, Genevieve Schmitt, Susan M. Braxton, and Heidi Imker

  • Register through our online form, or read the full Data Soup announcement for May 13.

    • P.S.: You can also sign up to participate in future Data Soups through our expression of interest form!

• Upcoming SIG Events

  • Join the Big Data Interest Group on Wednesday June 1, 2022 from 3:00-3:50pm EST.

    • Link to Running Notes Document: https://docs.google.com/document/d/1ILz_O1sZT61Q2-_u8mKZG7-bNgydU2l296DnP8MjjpE/edit

    • To message the group, email <dcn-bigdata@googlegroups.com>

Monthly Reporting

New Submissions

🎉 With this month’s submissions, we’ve passed 275 datasets curated through our shared staffing model! Thanks to all of our curators for making this a reality! 🎉

DCN-309: Coded quotations associated with a qualitative study of stigma related to COVID-19 in Côte d’Ivoire was submitted by Chen Chiu for John Hopkins and curated by Jen Darragh for Duke.

DCN-310: The behavior of carboxylated and hydroxylated polythiophene as bioreceptor layer: anti-human IgG and human IgG interaction detection based on organic electrochemical transistors was submitted by Chen Chiu for John Hopkins and curated by Cindy Xuying Xin for Penn State.

DCN-311: Structure and Density of Silicon Carbide to 1.5 TPa and Implications for Extrasolar Planets was submitted by Neggin Keshavarzian for Princeton and curated by Henrik Spoon for Cornell.

DCN-312: Supporting Data for "A novel machine learning method for accelerated modeling of the downwelling irradiance field in the upper ocean" was submitted by Wanda Marsolek for Minnesota and curated by Nick Wolf for NYU.

Resolved Datasets

DCN-309: Coded quotations associated with a qualitative study of stigma related to COVID-19 in Côte d’Ivoire was submitted by Chen Chiu for John Hopkins and curated by Jen Darragh for Duke. Jen reviewed the content (in French!) for potentially identifying information. No issues were found.

DCN-310: The behavior of carboxylated and hydroxylated polythiophene as bioreceptor layer: anti-human IgG and human IgG interaction detection based on organic electrochemical transistors was submitted by Chen Chiu for John Hopkins and curated by Cindy Xuying Xin for Penn State. Thanks to Cindy Xuying’s expertise, the depositor added description for each data file and definition of variables in the README file.

DCN-311: Structure and Density of Silicon Carbide to 1.5 TPa and Implications for Extrasolar Planets was submitted by Neggin Keshavarzian for Princeton and curated by Henrik Spoon for Cornell. Thanks to Henrik’s review, the authors added additional descriptive information to their README file and made the spreadsheets more reusable.

If you would like to share your upcoming events, opportunities, interesting articles, or other information with the Data Curation Network community, please contact Mikala Narlock, DCN Director, at mnarlock@umn.edu.