Monthly Roundup - July 2021


  • Call for nominations to join the Governance Board. If you are interested in running for election for the member-at-large positions on the board, please contact Lisa Johnston ( or your representative by August 11, 2021.

  • Save the date: Tuesday September 21st at 10am CST. Join in to hear Melissa Cragin (UC-San Diego Supercomputing Center) present on the NSF Public Access Plan and PAR, to be followed by an extended discussion on community readiness for these likely new guidelines. This work is part of an NSF EAGER project, “Amplifying Community Readiness to Increase Public Access to Data.”

  • Profiles for the new curators from CU-Boulder, Duke and the University of Nebraska are up on the website - check them out!

  • The DCN is partnering on a new grant led by ARL to study functional and financial data sharing models at academic institutions.

  • Some members have reported DCN Jira and listserv messages disappearing into spam so you might want to check to see if you've missed messages by reviewing the group archive (link to DCN-curators) or by adding these address to your contacts list:

News Spotlight

Call for Proposals: Leveraging Data Communities to Advance Open Science

Do you currently share data with a network of researchers in an informal or ad hoc way? Would your data community benefit from more organized data sharing?

Ithaka S+R and the Data Curation Network invite proposals for researcher teams to participate in “Leveraging Data Communities to Advance Open Science.” This NSF-sponsored workshop will bring together representatives of informal or formal groups of researchers who would like to incorporate best practices for facilitating data sharing across disciplinary and institutional boundaries.

To learn more see the blog post on the DCN website!


Monthly Reporting

New Submissions

DCN-272: Abundant and persistent sulfide-oxidizing microbial populations are responsive to hypoxia in the Chesapeake Bay, an environmental sciences genomic dataset, was submitted by Chen Chiu for JHU and curated by Susan Braxton for Illinois.

DCN-273: Data and analysis scripts from: Actin reorganization throughout the cell cycle mediated by motor proteins, a mathematics simulation and code (Python, R, MATLAB) dataset, was submitted by Sophia Lafferty- Hess for Duke and was returned for curation locally after multiple attempts at assigning it were unsuccessful.

DCN-274: Code Updates of GEOS-Chem Adjoint v35 for TROPOMI Methane 4D-Var Inversion, a climate science code (Fortran) dataset, was submitted by Wanda Marsolek for Minnesota and curated by Jon Petters for Virginia Tech.

DCN-275: Integrated multi-wavelength microscope, a biophysics code (MATLAB) dataset, was submitted by Hannah Hadley for Penn State and is being curated by Katie Barrick for Minnesota.

Resolved Datasets

DCN-259: Ferric iron triggers greenalite formation in simulated Archean seawater Dataset, an earth and environmental sciences tabular dataset, was submitted by Rachel Woodbrook for Michigan and curated by Wanda Marsolek for Minnesota. Wanda’s recommendations included various updates to the readme including: adding context about files and how they relate, descriptions of variables within the files, additional information about the methodology and instrumentation and information about the associated manuscript. Rachel reported that minimal curation actions were taken in the form of updates to the readme as recommended.

DCN-271: Data from: Seeding Rates for Cover Crop Mixtures, a crop sciences code (R) dataset, was submitted by Sarah Wright for Cornell and curated by Jess Herzog for Dryad. Jess found no issues with the dataset and had no recommendations. Sarah reports that only minor curation actions were taken in the form of small edits to the readme. These included adding citations for related publications that used the validation data.

Curator’s Corner

Get to Know DCN Curator Xuying Xin!

How did you come to your current position?

Before joining the Penn State University Libraries at University Park, I was a research associate in a biomedical lab at another campus of Penn State. While at the lab, I did micro CT imaging, image analysis, and visualization. I developed a database based on the lab data and created some visualizations for the team, which I found very interesting…

Read the full interview on the DCN website!