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- Creator(s):
- Donald Brower, Mikala Narlock
- Description:
Persistent Identifiers are essential for identifying, citing, and tracking the usage of research data. This poster will examine the unique identifier requirements of research data, and evaluate how existing systems meet these requirements. We hope rethinking the requirements of dataset identifiers will lead to identifier systems that are a better fit for data; that will reduce the institutional and organization cost of maintaining the identification; and will better support data identificatio…
- Date Created:
- 2023-06-27
- Record Visibility:
- Public
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2
Presentation
- Author(s):
- Donald Brower
- Abstract:
A November 18, 2021, workshop by Donald Brower, PhD, University of Notre Dame.
What is TeX? TeX is a system to produce formatted documents. While it can produce all kinds of documents, such as Articles, Slides, CVs, Handouts, and Exams, it is especially useful for items with mathematical formula (but that is not a requirement). TeX is a mark-up language, akin to HTML. One writes a text file containing commands that tell TeX how to format the file. Then one…
- Date Created:
- 2022-01-06
- Record Visibility:
- Public
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- Author(s):
- John (Zheng) Wang, Donald Brower, Mark Dehmlow, Anastasia (Nastia) Guimaraes, Melissa Harden, Helen Hockx-Yu, Daniel Johnson, Christina Leblang, Rebecca Leneway, Laurie McGowan, Eric Lease Morgan, Alex Papson
- Abstract:
In August of 2018, the Institute of Museum and Library Services (IMLS) awarded a National Leadership/Planning grant to the University of Notre Dame to investigate the national need for library based topic modelling tools in support of cross-disciplinary discovery systems. The grant would enable our project team to conduct a series of workshops where we could bring together communities of expertise (computer scientists, librarians, disciplinary scholars) from diverse organizations (large and s…
- Date Created:
- 2020-12-01
- Record Visibility:
- Public
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- Creator(s):
- Natalie Meyers, Donald Brower, Michelle Barker
- Description:
Vector-Borne Disease Network (VecNet)’s digital library provides part of a common analytical framework to assemble data on malaria transmission and make it accessible for the purposes of computational modeling. This poster-paper presented at IEEE/ACM Joint Conference on Digital Libraries, Sept. 2014 (DOI:10.1109/JCDL.2014.6970212) reports on VecNet digital library development, key decisions related to metadata standards, design, the central role of metadata and authority files in its architec…
- Date Created:
- 2014-12-16
- Record Visibility:
- Public