Directory

Jodi Schneider's directory photo.

Jodi Schneider

Associate Professor

Primary Affiliation

Cognition, Lifespan Engagement, Aging, and Resilience

Affiliations

Status Affiliate Faculty

Home Information Sciences

Phone 300-4328

Email jodi@illinois.edu

Address

  • Biography

    Jodi Schneider is an associate professor in the Department of Information Sciences. Her primary affiliation is Cognition, Lifespan Engagement, Aging, and Resilience.

    Education

    • B.A., liberal arts, great books, St. John’s College

    • M.S., library & information science, University of Illinois Urbana-Champaign

    • M.A., mathematics, The University of Texas at Austin

    • Ph.D., informatics, National University of Ireland, Galway

  • Honors

    • 2016: Fellow, Research participation program, U.S. National Library of Medicine, Summer

    • 2013-2015: Marie Curie Fellow, ERCIM Alain Bensoussan Career Development Enhancer

    • 2012: A. R. Zipf Fellow, Council on Library and Information Resources

  • Research

    Research areas:

    • Argumentation

    • Artificial Intelligence and Machine Learning

    • Computational Social Science

    Research interests:

    • Controversies in science

    • Argumentation and evidence

    • Knowledge translation

    Jodi’s research focuses on a variety of topics, including controversies in science, science of science, argumentation and evidence, knowledge translation, information quality, evidence synthesis, knowledge organization, biomedical informatics, and linked data (ontologies, knowledge graphs, metadata, Semantic Web). The information quality lab studies the science of science, bibliographic information retrieval (especially retrieval and quality of medical information), and how evidence-based arguments are used in scholarship and in public discourse. The long-term goal of the lab’s work is to develop computer support for debate and argumentation, especially evidence synthesis. The lab’s technical perspective draws on data science, argumentation, knowledge representation, computer supported cooperative work, and human-computer interaction. Technical skills commonly used in this lab include data science (machine learning, network analysis, textmining), knowledge representation (ontologies and semantic technologies), prototyping, annotation, mixed methods research, and user-based evaluations. Typical applications areas include digital libraries and health informatics.

  • 2023

    • Bakker C, Boughton S, Faggion CM, et alReducing the residue of retractions in evidence synthesis: ways to minimise inappropriate citation and use of retracted dataBMJ Evidence-Based Medicine Published Online First: 18 July 2023. doi: 10.1136/bmjebm-2022-111921
    • Bakker C, Boughton S, Faggion CM, et alReducing the residue of retractions in evidence synthesis: ways to minimise inappropriate citation and use of retracted dataBMJ Evidence-Based Medicine Published Online First: 18 July 2023. doi: 10.1136/bmjebm-2022-111921
    • Clarke, Caitlin; Lischwe Mueller, Natalie; Joshi, Manasi Ballal; Fu, Yuanxi; Schneider, Jodi (2023): The Inclusion Network of 27 Review Articles Published between 2013-2018 Investigating the Relationship Between Physical Activity and Depressive Symptoms. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4614455_V3
    • Lee, Jou; Schneider, Jodi (2023): Crossref data for Assessing the agreement in retraction indexing across 4 multidisciplinary sources: Crossref, Retraction Watch, Scopus, and Web of Science. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9099305_V1
    • Lee, Jou; Schneider, Jodi (2023): Crossref data for Assessing the agreement in retraction indexing across 4 multidisciplinary sources: Crossref, Retraction Watch, Scopus, and Web of Science. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-9099305_V1
    • Lee, Jou; Schneider, Jodi (2023): Keywords for manual field assignment for Assessing the agreement in retraction indexing across 4 multidisciplinary sources: Crossref, Retraction Watch, Scopus, and Web of Science. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8847584_V1
    • Lee, Jou; Schneider, Jodi (2023): Keywords for manual field assignment for Assessing the agreement in retraction indexing across 4 multidisciplinary sources: Crossref, Retraction Watch, Scopus, and Web of Science. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8847584_V1
    • Schneider, J., Lee, J., Zheng, H. & Salami, M. (2023). Assessing the agreement in retraction indexing across 4 multidisciplinary sources: Crossref, Retraction Watch, Scopus, and Web of Science [preprint]. 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). https://doi.org/10.55835/6441e5cae04dbe5586d06a5f
    • Zheng, Heng, & Schneider, Jodi. (2023, June 10). Can Argumentation Help Understand How Scientific Information Reaches the Public?. Trends in Information Science – The ASIS&T European Chapter Research Series. (IST2023), Hybrid conference online and in Uppsala, Sweden. https://doi.org/10.5281/zenodo.8023747

    2022

    • Addepalli, A., Subin, K.A., Schneider, J. (2022). Testing the Keystone Framework by Analyzing Positive Citations to Wakefield’s 1998 Paper. In: Smits, M. (eds) Information for a Better World: Shaping the Global Future. iConference 2022. Lecture Notes in Computer Science(), vol 13192. Springer, Cham. https://doi.org/10.1007/978-3-030-96957-8_9
    • Addepalli, A., Subin, K.A., Schneider, J. (2022). Testing the Keystone Framework by Analyzing Positive Citations to Wakefield’s 1998 Paper. In: Smits, M. (eds) Information for a Better World: Shaping the Global Future. iConference 2022. Lecture Notes in Computer Science(), vol 13192. Springer, Cham. https://doi.org/10.1007/978-3-030-96957-8_9
    • Bakker, C., Boughton, S., Faggion, C., Fanelli, D., Kaiser, K., & Schneider, J. (2022, September 13). Reducing the residue of retractions in evidence synthesis: Ways to minimize inappropriate citation and use of retracted data. https://doi.org/10.31222/osf.io/9we43
    • Bakker, C., Boughton, S., Faggion, C., Fanelli, D., Kaiser, K., & Schneider, J. (2022, September 13). Reducing the residue of retractions in evidence synthesis: Ways to minimize inappropriate citation and use of retracted data. https://doi.org/10.31222/osf.io/9we43
    • Blickhan, Samantha et al. ‘The Role of the Information Community in Ensuring That Information Is Authoritative: Strategies from NISO Plus 2022’. 1 Jan. 2022 : 423 – 432.
    • Blickhan, Samantha et al. ‘The Role of the Information Community in Ensuring That Information Is Authoritative: Strategies from NISO Plus 2022’. 1 Jan. 2022 : 423 – 432.
    • Clarke, Caitlin; Lischwe Mueller, Natalie; Joshi, Manasi Ballal; Fu, Yuanxi; Schneider, Jodi (2022): The Inclusion Network of 27 Review Articles Published between 2013-2018 Investigating the Relationship Between Physical Activity and Depressive Symptoms. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4614455_V2
    • Clarke, Caitlin; Lischwe Mueller, Natalie; Joshi, Manasi Ballal; Fu, Yuanxi; Schneider, Jodi (2022): The Inclusion Network of 27 Review Articles Published between 2013-2018 Investigating the Relationship Between Physical Activity and Depressive Symptoms. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4614455_V2
    • Fu, Y., Clarke, C. V., Van Moer, M., & Schneider, J. (2022, December 21). Exploring Evidence Selection with the Inclusion Network. https://doi.org/10.31222/osf.io/zh9vp
    • Fu, Y., Clarke, C. V., Van Moer, M., & Schneider, J. (2022, December 21). Exploring Evidence Selection with the Inclusion Network. https://doi.org/10.31222/osf.io/zh9vp
    • Jodi Schneider, Linh Hoang, Yogeshwar Kansara, Aaron M Cohen, Neil R Smalheiser, Evaluation of publication type tagging as a strategy to screen randomized controlled trial articles in preparing systematic reviews, JAMIA Open, Volume 5, Issue 1, April 2022, ooac015, https://doi.org/10.1093/jamiaopen/ooac015
    • Joel Chan, Wayne Lutters, Jodi Schneider, Karola Kirsanow, Silvia Bessa, and Jonny L. Saunders. 2022. Growing New Scholarly Communication Infrastructures for Sharing, Reusing, and Synthesizing Knowledge. In Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing (CSCW'22 Companion). Association for Computing Machinery, New York, NY, USA, 278–281. https://doi.org/10.1145/3500868.3559398
    • Joel Chan, Wayne Lutters, Jodi Schneider, Karola Kirsanow, Silvia Bessa, and Jonny L. Saunders. 2022. Growing New Scholarly Communication Infrastructures for Sharing, Reusing, and Synthesizing Knowledge. In Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing (CSCW'22 Companion). Association for Computing Machinery, New York, NY, USA, 278–281. https://doi.org/10.1145/3500868.3559398
    • Journal of the Medical Library Association, ISSN: 1558-9439, Vol: 110, Issue: 1
    • Schneider J, Hoang L, Kansara Y, Cohen AM, Smalheiser NR. Evaluation of publication type tagging as a strategy to screen randomized controlled trial articles in preparing systematic reviews. JAMIA Open. 2022 Mar 30;5(1):ooac015. doi: 10.1093/jamiaopen/ooac015. PMID: 35571360; PMCID: PMC9097760.
    • Schneider, J., Woods, N.D., Proescholdt, R. et al. Reducing the Inadvertent Spread of Retracted Science: recommendations from the RISRS report. Res Integr Peer Rev 7, 6 (2022). https://doi.org/10.1186/s41073-022-00125-x
    • Schneider, J., Woods, N.D., Proescholdt, R. et al. Reducing the Inadvertent Spread of Retracted Science: recommendations from the RISRS report. Res Integr Peer Rev 7, 6 (2022). https://doi.org/10.1186/s41073-022-00125-x
    • Tzu-Kun Hsiao, Jodi Schneider; Continued use of retracted papers: Temporal trends in citations and (lack of) awareness of retractions shown in citation contexts in biomedicine. Quantitative Science Studies 2022; 2 (4): 1144–1169. doi: https://doi.org/10.1162/qss_a_00155

    2021

    • Citation Style Avissar-Whiting, Michele et al. ‘Addressing Disorder in Scholarly Communication: Strategies from NISO Plus 2021’. 1 Jan. 2021 : 107 – 121.
    • articleKILICOGLU2021103717, Toward assessing clinical trial publications for reporting transparency, Journal of Biomedical Informatics,116,103717, 2021,1532-0464, https://doi.org/10.1016/j.jbi.2021.103717, https://www.sciencedirect.com/science/article/pii/S1532046421000460, Halil Kilicoglu and Graciela Rosemblat and Linh Hoang and Sahil Wadhwa and Zeshan Peng and Mario Malicki and Jodi Schneider and Gerben ter Riet
    • Halil Kilicoglu, Graciela Rosemblat, Linh Hoang, Sahil Wadhwa, Zeshan Peng, Mario Malicki, Jodi Schneider, Gerben ter Riet, Toward assessing clinical trial publications for reporting transparency, Journal of Biomedical Informatics, Volume 116, 2021, 103717, ISSN 1532-0464, https://doi.org/10.1016/j.jbi.2021.103717. (https://www.sciencedirect.com/science/article/pii/S1532046421000460) Abstract: Objective To annotate a corpus of randomized controlled trial (RCT) publications with the checklist items of CONSORT reporting guidelines and using the corpus to develop text mining methods for RCT appraisal. Methods We annotated a corpus of 50 RCT articles at the sentence level using 37 fine-grained CONSORT checklist items. A subset (31 articles) was double-annotated and adjudicated, while 19 were annotated by a single annotator and reconciled by another. We calculated inter-annotator agreement at the article and section level using MASI (Measuring Agreement on Set-Valued Items) and at the CONSORT item level using Krippendorff’s a. We experimented with two rule-based methods (phrase-based and section header-based) and two supervised learning approaches (support vector machine and BioBERT-based neural network classifiers), for recognizing 17 methodology-related items in the RCT Methods sections. Results We created CONSORT-TM consisting of 10,709 sentences, 4,845 (45%) of which were annotated with 5,246 labels. A median of 28 CONSORT items (out of possible 37) were annotated per article. Agreement was moderate at the article and section levels (average MASI: 0.60 and 0.64, respectively). Agreement varied considerably among individual checklist items (Krippendorff’s a= 0.06–0.96). The model based on BioBERT performed best overall for recognizing methodology-related items (micro-precision: 0.82, micro-recall: 0.63, micro-F1: 0.71). Combining models using majority vote and label aggregation further improved precision and recall, respectively. Conclusion Our annotated corpus, CONSORT-TM, contains more fine-grained information than earlier RCT corpora. Low frequency of some CONSORT items made it difficult to train effective text mining models to recognize them. For the items commonly reported, CONSORT-TM can serve as a testbed for text mining methods that assess RCT transparency, rigor, and reliability, and support methods for peer review and authoring assistance. Minor modifications to the annotation scheme and a larger corpus could facilitate improved text mining models. CONSORT-TM is publicly available at https://github.com/kilicogluh/CONSORT-TM. Keywords: Reporting guidelines; CONSORT; Corpus annotation; Text mining; Sentence classification
    • Jodi Schneider, Anita De Waard, Wolf-Tilo Balke, Xiaoguang Wang, Ningyuan Song, Bolin Hua, Yuanxi Fu, undefined, 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 10.1109/JCDL52503.2021.00069, (346-347), (2021). View
    • Schneider, J., Woods, N. D., Proescholdt, R., Fu, Y., & Team, T. (2021, July 29). Recommendations from the Reducing the Inadvertent Spread of Retracted Science: Shaping a Research and Implementation Agenda Project. https://doi.org/10.31222/osf.io/ms579
    • Tzu-Kun Hsiao, Jodi Schneider, Continued use of retracted papers: Temporal trends in citations and (lack of) awareness of retractions shown in citation contexts in biomedicine, Quantitative Science Studies, 10.1162/qss_a_00155, 2, 4, (1144-1169), (2021).
    • Yuanxi Fu, Jodi Schneider, and Catherine Blake. 2021. Finding Keystone Citations for Constructing Validity Chains among Research Papers. In Companion Proceedings of the Web Conference 2021 (WWW '21). Association for Computing Machinery, New York, NY, USA, 451–455. https://doi.org/10.1145/3442442.3451368

    2020

    • Jodi Schneider, Di Ye, Alison M. Hill, Ashley S. Whitehorn, Continued post-retraction citation of a fraudulent clinical trial report, 11 years after it was retracted for falsifying data, Scientometrics, 10.1007/s11192-020-03631-1, 125, 3, (2877-2913), (2020).
    • Jodi Schneider, Di Ye, Alison M. Hill, Ashley S. Whitehorn, Continued post-retraction citation of a fraudulent clinical trial report, 11 years after it was retracted for falsifying data, Scientometrics, 10.1007/s11192-020-03631-1, 125, 3, (2877-2913), (2020).
    • Liliana Giusti Serra, Jodi A. Schneider & José Eduardo Santarém Segundo (2020) Person Identifiers in MARC 21 Records in a Semantic Environment, Cataloging & Classification Quarterly, 58:5, 505-519, DOI: 10.1080/01639374.2020.1771499
    • Schneider, J., Ye, D., Hill, A.M. et al. Continued post-retraction citation of a fraudulent clinical trial report, 11 years after it was retracted for falsifying data. Scientometrics 125, 2877–2913 (2020). https://doi.org/10.1007/s11192-020-03631-1
    • Yuanxi Fu and Jodi Schneider. 2020. Towards Knowledge Maintenance in Scientific Digital Libraries with the Keystone Framework. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL '20). Association for Computing Machinery, New York, NY, USA, 217–226. https://doi.org/10.1145/3383583.3398514
    • Yuanxi Fu and Jodi Schneider. 2020. Towards Knowledge Maintenance in Scientific Digital Libraries with the Keystone Framework. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL '20). Association for Computing Machinery, New York, NY, USA, 217–226. https://doi.org/10.1145/3383583.3398514

    2019

    • Grizzle A, Horn J, Collins C, Schneider J, Malone D, Stottlemyer B, Boyce R Identifying Common Methods Used by Drug Interaction Experts for Finding Evidence About Potential Drug-Drug Interactions: Web-Based Survey J Med Internet Res 2019;21(1):e11182 URL: https://www.jmir.org/2019/1/e11182 DOI: 10.2196/11182
    • Halil Kilicoglu, Zeshan Peng, Shabnam Tafreshi, Tung Tran, Graciela Rosemblat, Jodi Schneider, Confirm or refute?: A comparative study on citation sentiment classification in clinical research publications, Journal of Biomedical Informatics, Volume 91, 2019, 103123, ISSN 1532-0464, https://doi.org/10.1016/j.jbi.2019.103123. (https://www.sciencedirect.com/science/article/pii/S1532046419300413)

    2018

    • Hoang, L., Schneider, J. (2018). Opportunities for Computer Support for Systematic Reviewing - A Gap Analysis. In: Chowdhury, G., McLeod, J., Gillet, V., Willett, P. (eds) Transforming Digital Worlds. iConference 2018. Lecture Notes in Computer Science(), vol 10766. Springer, Cham. https://doi.org/10.1007/978-3-319-78105-1_40
    • Jackson, S., Schneider, J. Cochrane Review as a “Warranting Device” for Reasoning About Health. Argumentation 32, 241–272 (2018). https://doi.org/10.1007/s10503-017-9440-z
    • Schneider, Jodi and Jackson, Sally. ‘Modeling the Invention of a New Inference Rule: The Case of “Randomized Clinical Trial” as an Argument Scheme for Medical Science’. 1 Jan. 2018 : 77 – 89.