Ivy+ Text Data Mining Education for Advocacy (TEA) Task Force Phase One Report: Actions and Interventions to Address Concerns with Text Data Mining Platforms
Abstract/Contents
- Abstract
- The Ivy Plus Libraries Confederation (IPLC) Digital Scholarship Affinity Group assembled the Text Data Mining Education for Advocacy (TEA) Task Force to develop shared, open, and accessible educational materials to improve researchers’ literacy on the current influx of third party vendor Text Data Mining (TDM) platforms. This task force was specifically entrusted to examine use and limitations related to the “closedness” of each platform and the direct and collateral effects of the monetization of data on these systems for transparency, collaboration, cross-platforming, and publishing. This report offers constructive criticism of the opaque box, all-or-nothing approach that vendors are taking in order to offer information to support researchers, openness, and equity. Over the course of six months, this task force produced a literature review to examine the current discourse on these emerging platforms, as well as prototype user profiles to clarify researcher needs and evaluate whether the platforms actually meet those needs. This report reflects the results of those efforts to identify exciting new opportunities for assessing emerging TDM platforms.
Description
| Type of resource | text |
|---|---|
| Date created | March 10, 2023 |
| Date modified | March 10, 2023; March 15, 2023; March 15, 2023 |
| Publication date | March 10, 2023; March 10, 2023 |
Creators/Contributors
| Author | Kramer, Whitney | |
|---|---|---|
| Author | Burgos, Iliana | |
| Author | Muzzall, Evan |
https://orcid.org/0000-0001-8258-9100
(unverified)
|
Subjects
| Subject | Software |
|---|---|
| Subject | Open scholarship |
| Subject | Research |
| Subject | Full-text databases |
| Subject | Text data mining |
| Genre | Text |
| Genre | Report |
| Genre | Working paper |
| Genre | Grey literature |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).
Preferred citation
- Preferred citation
- Kramer, W., Burgos, I., Muzzall, E., Esten, E., Karajgikar, J., Turnator, E., Shaw, W., Champagne, A., & Truslow, H. (2023). Ivy+ Text Data Mining Education for Advocacy (TEA) Task Force Phase One Report: Actions and Interventions to Address Concerns with Text Data Mining Platforms [Unpublished Manuscript]. Text Education for Advocacy Task Force, IvyPlus Digital Scholarship Affinity Group.
Collection
Stanford Libraries staff presentations, publications, and research
View other items in this collection in SearchWorksContact information
Also listed in
Loading usage metrics...