Document Type
Poster
Publication Date
3-13-2024
Keywords
LIDS, Library Data Services
Abstract
Research data services (RDS) are growing rapidly in libraries. To better understand the current state of RDS across R1 and R2 institutions, how they've evolved since the onset of the COVID-19 pandemic, and who is providing these services, this research project built an interoperable Library Data Services (LIDS) dataset to inform RDS development and assessment. The dataset records data service area(s) (e.g., Research Data Management), fifteen data service types (e.g., data management/data curation), and personnel and unit information gathered through website content analyses, alongside Carnegie Classification data. Unlike similar studies (Radecki and Springer, 2020; Yu, 2017; Yoon & Schultz, 2017; Kouper, et al, 2017; Si, et al., 2015), this project includes current data for all R1 and R2 libraries and shares the dataset with the community so that it may be used to inform collaboration, service development, and assessment.
The dataset was initially gathered in Excel and transformed into a relational database that can easily be exported, imported, expanded, and queried using standard SQL. A keystone of the data architecture is the Department of Education's National Center for Education Statistics' (NCES) Integrated Postsecondary Education System (IPEDS) institutional identifier which is also utilized by the publicly accessible Carnegie Classification dataset. The use of the IPEDS institutional identifier facilitates interoperability by taking advantage of connecting information about library data services to the vast amount of NCES educational data about higher education (up to 250 variables for more than 7,000 institutions) and other datasets, such as the U.S. Bureau of Labor Statistics’ national longitudinal surveys.
The poster will provide access to the dataset and codebook, share details about the database structure, and demonstrate its application. LIDS use will allow institutions to advocate for and grow RDS services, discover more about data services, and connect data service professionals across research libraries.
Funding Source
University Research Grant
DOI
10.17605/OSF.IO/EZV8B
Recommended Citation
Kahl, Chad M.; Newport, Joshua; and Skaggs, Lindsey, "LIbrary Data Services (LIDS) Dataset: A Golden Gate(way) to Collaboration" (2024). Faculty and Staff Publications – Milner Library. 217.
https://ir.library.illinoisstate.edu/fpml/217
Comments
This poster was presented at the RDAP Summit 2024 that was held virtually from March 11-14, 2024.