[Rdap] Fwd: [ESSI] Seeking data sets for curation for the spring semester of the Foundations of Data Curation class at GSLIS

[Joe Hourcle]

I was just talking to Ruth, and she mentioned that she's interested in all data, just not science related.

If you know of data that needs some TLC to ingest, or metadata that needs to be cleaned up, you can get some assistance from her students.

-Joe

(Last semester, I got one of her students to read through documentation of data from the 1960s and write software to extract it and generate text files ... but she said that not all of the students are programmers)



Begin forwarded message:

> From: Ruth Ellen Duerr <rduerr at Colorado.EDU>
> Date: December 3, 2014 11:54:25 AM EST
> To: "esip-all at lists.esipfed.org" <esip-all at lists.esipfed.org>, ESSI <earth-space-science-informatics at lists.nasa.gov>
> Subject: [ESSI] Seeking data sets for curation for the spring semester of the Foundations of Data Curation class at GSLIS
> 
> Hi all,
> 
> Karen Baker and I are teaching the Foundations of Data Curation class at GSLIS/UIUC next spring again and are looking for data sets for our students to work on.
> 
> Ruth Duerr
> 
> DATASET REQUEST
> What: Request for identification of a data set
> Why:  Offer of assistance with data set by a data curation student
> Course: Foundations in Data Curation
> When: January-May 2015
> We work with a Data Curation Specialization certification program team at the University of Illinois Urbana Champaign Graduate School of Library and Information Science (UIUC, GSLIS). Taught since 2007 as part of the MSLIS program, this one-semester Foundations of Data Curation (DC) course integrates as much exposure to data issues and direct experience with data as possible.
> In recent semesters we have found that hands-on experience with authentic data sets noticeably improves student class engagement and understanding of data curation. Students are able to work effectively upgrading, ingesting, and/or rescuing a dataset.  For instance, students improve their skills by enriching documentation, structuring for ingestion, and reformatting to accessible formats.
> Students select a dataset at the start of the course and continue working on it in phases: 1) investigating & selecting a dataset; 2) developing a data management plan for improving the dataset; and 3) implementing the plan given available time and resources.  Each dataset has an associated contact but communication with the dataset contact is restricted until the student has demonstrated to the instructors that they have mastered an understanding of the data and related available resources including papers or reports in the peer reviewed literature.
> There is an expectation that if a student substantially improves the metadata documentation or the state of the data that the repository would consider using the results of their work.  For instance, the National Snow and Ice Data Center is currently in the process of publishing datasets worked on by students, datasets that would not otherwise be publically available. In addition to contributing to data availability, this approach represents an opportunity for a) students to provide a pointer to an example of data curation work on their vitae and b) repositories to enhance visibility of some data as well as to highlight their contributions to education and training of a much needed workforce in data curation.
> If you have data that require attention and are interested in having a data curation student work with your data sets as a class project, please contact us.
> Ruth Duerr, rduerr at nsidc.org<mailto:rduerr at nsidc.org>, National Snow and Ice Data Center
> Karen Baker, ksbaker2 at illinois.edu<mailto:ksbaker2 at illinois.edu>, UIUC Graduate Student in Data Curation