DOI: 10.5061/dryad.2rbnzs7zc
title: University ecosystem analytics: Case study of regional integration and competitiveness in California and Texas

description: Despite substantial policy efforts aimed at developing regional innovation
 systems (RIS), our understanding of institutional factors that promote
 synergy and integration at the regional scale is limited. To address this
 gap, we constructed 2 representations of research university ecosystems in
 California (CA) and Texas (TX) that identify institutional co-occurrences
 in research and news media, within and across these regions. The selection
 of these regions is attributed to the University of California and the
 University of Texas, two multi-campus university systems (MUS) that
 feature distinct configurations of institutional specialization. As such,
 we exploit these differences to analyze four institutional assortativity
 channels that foster system-level synergies: institutional proximity,
 prestige, homophily, and specialization. The first representation we
 constructed is based upon ~3 million publications collected from Clarivate
 Analytics Web of Science Core Collection (WOS) that are affiliated with at
 least one of the 28 institutions in our sample, which together represent
 &gt;5% of publications indexed by WOS over the sample period
 1970-2020. The 28 institutions consist of 10 institutions belonging to the
 University of California (UC) system and 12 institutions belonging to the
 University of Texas (UT) system; we complement these two public
 multi-campus university systems (MUS) by including six prominent private
 universities, which represent a non-MUS comparison group. As universities
 increasingly compete for visibility to attract student enrollment and
 build scientific reputation, the management of institution of higher
 education (IHE) brand has emerged as an important strategic endeavor.
 Hence, the second representation we constructed is based upon ~2 million
 digital news media articles published between 2000-2020 that specifically
 mention at least one of these universities. Similar to the first
 representation,  mapping the rates of digital media co-visibility
 among IHE facilitates a systems-level understanding of the factors that
 condition the structure and dynamics of brand stratification within
 research university ecosystems, and fosters the development of novel
 measures for two dimensions of brand equity – namely, visibility and
 association.
description: <strong>1) Research</strong> affiliated with a
 particular institution. We collected 2,965,198 records published between
 1970-2020 from the Clarivate Analytics WOS Core Collection using their
 in-house institutional disambiguation tool to identify publications with
 at least one author from a particular campus.
 <strong>2) Digital media </strong>affiliated with a
 particular institution. We assembled a dataset of 1,947,349
 unique web-based digital media articles representing news
 articles, blog posts and other web content specifically mentioning any of
 the institutions by their official name, e.g. “University of California
 Los Angeles” or “UCLA”, accounting for the official abbreviations. These
 media articles were originally produced by 57,947 unique media sources,
 according to primary source data obtained from the Media Cloud project
 (MC) database, https://www.mediacloud.org/ . We use both data sources to develop a co-occurrence framework for defining university-university relationships based upon research co-production (via collaboration among scholars affiliated with each university) and media article co-visibility over the period 2000-2020, by applying concepts and methods from network science, machine learning (NLP) and organizational science.
description: # University ecosystem analytics - Case study of regional integration and
 competitiveness in CA and TX: --- ## Brief summary This document describes
 the contents of the folder Data_Code/, constructed around two subfolders
 that contain tabular data and code notebooks generated with Mathematica
 (v13) for reproducing the university ecosystem analytics described in the
 two studies associated with this data deposit. Primary source records
 consist of: (i) metadata for individual research articles published by
 scholars affiliated with at least one of the focal universities in CA and
 TX, obtained from the Clarivate Analytics Web of Science Core Collection;
 (ii) metadata for individual digital media articles mentioning each
 university (from the same set) by its official name at least once, were
 obtained from the Media Cloud project via its open-source API. Data files
 contained in this repository are summary statistics derived from
 preliminary calculations applied to the primary source data. ##
 Description of the Data and file structure Source data files are provided
 in CSV (comma separated value), TSV (tab separated value), and DTA (used
 by STATA software). Programs required: Mathematica 13 (or later version)
 and STATA 13 (or later version). The workflow for executing Mathematica
 notebooks is to hit Shift+Enter to execute commands contained in any given
 cell; the initial cells upload the data files, and from there the notebook
 cells should be executed from start to end in linear order. The workflow
 for STATA files are defined in provided .do files. See
 `ReadMe_DataDescription.pdf` for additional details on which data files
 generate the corresponding figures in each associated study. ##
 Sharing/access Information Source data locations:
 [https://www.webofscience.com/wos/woscc/basic-search](https://www.webofscience.com/wos/woscc/basic-search) [https://www.mediacloud.org/](https://www.mediacloud.org/)