NCI Office of Data Sharing (ODS) Data Jamboree (Abstract Submissions): Submission #3

Submission information
Submission Number: 3
Submission ID: 143047
Submission UUID: 8429a98c-7b7b-49d7-bccf-209d7cff3c4e

Created: Mon, 05/12/2025 - 15:46
Completed: Mon, 05/12/2025 - 15:46
Changed: Mon, 05/12/2025 - 15:47

Remote IP address: 10.208.28.143
Submitted by: Anonymous
Language: English

Is draft: No





Presenter Information
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First Name: Stephanie









Middle Initial: {Empty}









Last Name: Spielman









Degree(s): Ph.D.









Position/Title/Career Status: Data Scientist









Organization: Alex's Lemonade Stand Foundation









Organization Address:
Bala Cynwyd, Pennsylvania










Email: stephanie.spielman@ccdatalab.org









Other (Please Specify): {Empty}













Abstract Information
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Abstract Category: Methods to enable data interoperability









Abstract Keywords: {Empty}









Abstract Title: N/A









Abstract Summary:
I am looking for a project team to join for this event. My background is in evolutionary computational biology, but I have worked in the pediatric cancer research space (either full-time or collaboratively) for 4-5 years. I primarily work broadly on pediatric cancer transcriptomtics in a purely computational environment. These days I am working primarily with R and UNIX but I have also worked in Python and with workflow tools like Nextflow.  I am enthusiastic about open-source and reproducible coding practices (including GitHub), approaches that improve researchers' ability to obtain, manage, clean, and organize their research projects including data, and educating researchers about these frameworks. In addition, I have excellent written and oral communication skills with an extensive background in writing user-friendly documentation to support my software projects. My goals in joining this "data interoperability" group at the jamboree are to learn more about the limitations researchers experience when attempting to integrate different data sources and identify/begin implementing approaches (which might include technical software, documentation, or developing guidelines/recommendations) to reduce the barriers researchers experience when working with data from disparate sources.










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