Network analysis to evaluate the impact of research funding on research community consolidation

Hicks, Daniel J.; Coil, David A.; Stahmer, Carl; Eisen, Jonathan A.

doi:10.1371/journal.pone.0218273

Cited by 16 publications

(15 citation statements)

References 14 publications

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“…Crossref metadata can be also used for funding-related research. For example, Hicks et al (2019) evaluated the impact of research funding on research community consolidation using, among other sources, the metadata from Crossref.…”

Section: Data Source For Scientometricsmentioning

confidence: 99%

Crossref: The sustainable source of community-owned scholarly metadata

Hendricks

Tkaczyk

Lin

et al. 2020

Quantitative Science Studies

114

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This paper describes the scholarly metadata collected and made available by Crossref, as well as its importance in the scholarly research ecosystem. Containing over 106 million records and expanding at an average rate of 11% a year, Crossref’s metadata has become one of the major sources of scholarly data for publishers, authors, librarians, funders, and researchers. The metadata set consists of 13 content types, including not only traditional types, such as journals and conference papers, but also data sets, reports, preprints, peer reviews, and grants. The metadata is not limited to basic publication metadata, but can also include abstracts and links to full text, funding and license information, citation links, and the information about corrections, updates, retractions, etc. This scale and breadth make Crossref a valuable source for research in scientometrics, including measuring the growth and impact of science and understanding new trends in scholarly communications. The metadata is available through a number of APIs, including REST API and OAI-PMH. In this paper, we describe the kind of metadata that Crossref provides and how it is collected and curated. We also look at Crossref’s role in the research ecosystem and trends in metadata curation over the years, including the evolution of its citation data provision. We summarize the research used in Crossref’s metadata and describe plans that will improve metadata quality and retrieval in the future.

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Section: Data Source For Scientometricsmentioning

confidence: 99%

Crossref: The sustainable source of community-owned scholarly metadata

Hendricks

Tkaczyk

Lin

et al. 2020

Quantitative Science Studies

114

View full text Add to dashboard Cite

show abstract

“…Keeping these limitations of any causal interpretation in mind, the productivity findings of this study suggest that ORUs-and similar infrastructure for interdisciplinary research-may have a key social network formation role. Hicks and Simmons (2019) and Hicks, Coil et al (2019) also analyzed specific interdisciplinary research funding programs, finding evidence that these programs appeared to be effective at supporting novel collaborations and stimulating the formation of a new research community, respectively.…”

Section: Discussionmentioning

confidence: 99%

Productivity and interdisciplinary impacts of Organized Research Units

Hicks

2021

Quantitative Science Studies

Self Cite

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Organized Research Units (ORUs) are non-departmental units utilized by US research universities to support interdisciplinary research initiatives, among other goals. This study examined the impacts of ORUs at one large public research university, the University of California, Davis (UC Davis), using a large corpus of journal article metadata and abstracts for both faculty affiliated with UCD ORUs and a comparison set of other faculty. Using regression analysis, I find that ORUs appeared to increase the number of coauthors of affiliated faculty, but did not appear to directly affect publication or citation counts. Next, I frame interdisciplinarity in terms of a notion of discursive space, and use a topic model approach to situate researchers within this discursive space. The evidence generally indicates that ORUs promoted multidisciplinarity rather than interdisciplinarity. In the conclusion, drawing on work in philosophy of science on inter- and multidisciplinarity, I argue that multidisciplinarity is not necessarily inferior to interdisciplinarity.

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“…One way our evaluation could be expanded is through network analysis, a process of investigating social structures through the use of networks and graph theory [47]. Network analysis has been applied to other scientific communities and their publications and collaboration structures [47, 48, 49]. To investigate the sustainability of projects, each CDI project would represent a node, and the number of connections to other projects, or the direction of knowledge transfer between projects, could be compared with the persistence of projects over time.…”

Section: Discussionmentioning

confidence: 99%

Measuring sustainability of seed-funded earth science informatics projects

2019

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Short term funding is a common funding model for informatics projects. Funders are interested in maximizing the sustainability and accessibility of the outputs, but there are no commonly accepted practices to do so in the Earth sciences informatics field. We constructed and applied a framework for sustainability drawing from other disciplines that have more published work focusing on sustainability of projects. This framework had seven sustainability influences (outputs modified, code repository used, champion present, workforce stability, support from other organizations, collaboration/partnership, and integration with policy), and three ways of defining sustainability (at the individual-, organization-, and community-level). Using this framework, we evaluated outputs of projects funded by the U.S. Geological Survey’s Community for Data Integration (CDI). We found that the various outputs are widely accessible, but not necessarily sustained or maintained. Projects with most sustainability influences often became institutionalized and met required needs of the community. Even if proposed outputs were not delivered or sustained, knowledge of lessons learned could be spread to build community capacity in a topic, which is another type of sustainability. We conclude by summarizing lessons for individuals applying for short-term funding, and for organizations managing programs that provide such funding, for maximizing sustainability of project outcomes.

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Network analysis to evaluate the impact of research funding on research community consolidation

Cited by 16 publications

References 14 publications

Crossref: The sustainable source of community-owned scholarly metadata

Crossref: The sustainable source of community-owned scholarly metadata

Productivity and interdisciplinary impacts of Organized Research Units

Measuring sustainability of seed-funded earth science informatics projects

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