J
Jared Lyle
Researcher at University of Michigan
Publications - 20
Citations - 226
Jared Lyle is an academic researcher from University of Michigan. The author has contributed to research in topics: Metadata & Data curation. The author has an hindex of 5, co-authored 19 publications receiving 180 citations. Previous affiliations of Jared Lyle include Inter-university Consortium for Political and Social Research.
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DATS, the data tag suite to enable discoverability of datasets
Susanna-Assunta Sansone,Alejandra Gonzalez-Beltran,Philippe Rocca-Serra,George Alter,Jeffrey S. Grethe,Hua Xu,Ian Fore,Jared Lyle,Anupama E. Gururaj,Xiaoling Chen,Hyeoneui Kim,Nansu Zong,Yueling Li,Ruiling Liu,Ibrahim Burak Ozyurt,Lucila Ohno-Machado +15 more
TL;DR: The DAta Tag Suite (DATS) model is designed and implemented to support the DataMed data discovery index, which aims to be for data what PubMed has been for the scientific literature.
The Enduring Value of Social Science Research: The Use and Reuse of Primary Research Data
TL;DR: This paper was presented at “The Organisation, Economics and Policy of Scientific Research” workshop, Torino, Italy, in April, 2010.
Journal ArticleDOI
Data: Sharing Is Caring:
TL;DR: The costs of data sharing can be reduced through the implementation of best practices in data management across the research life cycle; this article provides specific guidance on these practices.
Journal ArticleDOI
From Preserving the Past to Preserving the Future: The Data-PASS Project and the Challenges of Preserving Digital Social Science Data
Myron P. Gutmann,Mark Abrahamson,Margaret O'Neill Adams,Micah Altman,Caroline Arms,Kenneth A. Bollen,Michael Carlson,Jonathan Crabtree,Darrell Donakowski,Gary King,Jared Lyle,Marc Maynard,Amy Pienta,Richard Rockwell,Lois Timms-Ferrara,Copeland H. Young +15 more
TL;DR: The Data Preservation Alliance for the Social Sciences (Data-PASS), a project supported by the National Digital Information Infrastructure and Preservation Program (NDIIPP), has increasingly turned its attention from identifying and acquiring legacy and at-risk social science data to identifying ongoing and future research projects that will produce data.
Posted ContentDOI
DATS: the data tag suite to enable discoverability of datasets
Susanna-Assunta Sansone,Alejandra Gonzalez-Beltran,Philippe Rocca-Serra,George Alter,Jeffrey S. Grethe,Hua Xu,Ian Fore,Jared Lyle,Anupama E. Gururaj,Xiaoling Chen,Hyeoneui Kim,Nansu Zong,Yueling Li,Ruiling Liu,Ibrahim Burak Ozyurt,Lucila Ohno-Machado +15 more
TL;DR: The DAta Tag Suite (DATS) model is designed and implemented, which enables submission of metadata on datasets to DataMed, and is a platform-independent model also available as a Schema.org annotated serialization to be used beyond DataMed.