Find books and articles that cite Project TIER


Ball, R.J. (2023). "'Yes We Can!': A Practical Approach to Teaching Reproducibility to Undergraduates." Harvard Data Science Review, 5(3).

Bauer, G., Breznau, N., Gereke, J., Höffler, J.H., Janz, N., Rima-Maria, R., Rennstich, J.K., & Soiné, H. (2023). "Teaching Constructive Replications in the Behavioral and Social Sciences Using Quantitative Data." Teaching of Psychology. Available:

Blair, Graeme, Coppock, Alexander, & Humphreys, Macartan. (2023). Research Design in the Social Sciences: Declaration, Diagnosis, and Redesign. Princeton University Press. Available:

Frank, Michael C., et al. (2023). Experimentology: An Open Science Approach to Experimental Psychology Methods. Available:

Underwood, Anthony, Sichel, Aidan & Marshall, Emily C. (2023). "Teaching Reproducible Methods in Economics at Liberal Arts Colleges: A Survey." Journal of Statistics and Data Science Education.


Ball, Richard B., Medeiros, Norm, Bussberg, Nicholas W., & Piekut, Aneta. (2022). "An Invitation to Teaching Reproducible Research: Lessons from a Symposium." Journal of Statistics and Data Science Education.

Dogucu, M. & Çetinkaya-Rundel, M. (2022). Tools and Recommendations for Reproducible Teaching, Journal of Statistics and Data Science Education, DOI: 10.1080/26939169.2022.2138645

Domingos, Amanda & Batista, Ian Rebouças (2022). “Um mapa para a transparência e replicabilidade na ciência social empírica: o Protocolo TIER (A Roadmap for Transparency and Replicability in Empirical Social Science: The TIER Protocol).” Revista Politica Hoje. Available:

Lakens, Daniël. (2022). Improving Your Statistical Inferences.

Towse, J., Davies, R., Ball, E., James, R., Gooding, B. & Ivory, M. (2022) LUSTRE: An online data management and student project resource, Journal of Statistics and Data Science Education. DOI: 10.1080/26939169.2022.2118645


Baumer, Benjamin, Kaplan, Daniel, & Horton, Nicholas (2021). Modern Data Science with R. 2nd ed. CRC Press.

Bolibaugh, Cylcia, Vanek, Norbert & Marsden, Emma J (2021). Towards a credibility revolution in bilingualism research: Open data and materials as stepping stones to more reproducible and replicable research. Cambridge University Press.

Bosnjak, Michael et al. (2021). "A template for preregistration of quantitative research in psychology: Report of the Joint Psychological Societies Preregistration Task Force." American Psychologist.

Curvale, Carolina & Pérez-Arrobo, Gustavo (2021). “Documentación requerida en revistas de Ciencia Política: hacia prácticas de acceso abierto.” Revista de Ciencia Politica, 41(3). Available:

Ingram, Matthew (2021). " Teaching transparency: principles and practical considerations with illustrations in R and Stata." In Teaching Research Methods in Political Science, edited by Jeffrey L. Bernstein, Edward Elgar.

Sawchuk, S. & Khair, S. (2021). “Computational Reproducibility: A Practical Framework for Data Curators.” Journal of eScience Librarianship, 10(3). Available:

Vilhuber, Lars (2021). "Report by the AEA data editor." American Economic Review Papers and Proceedings, 111: 8-8-17.


Blincoe, Sarai & Buchert, Stephanie (2020). "Research preregistration as a teaching and learning tool in undergraduate psychology courses." Psychology Learning & Teaching, 19(1):107-115.

Dekker, Harrison, & Riegelman, Amy (2020). "Advocating for reproducibility." IASSIST Quarterly, 44(2): 1-2.

Gandrud, Christopher (2020). Reproducible Research with R and RStudio, 3rd ed. CRC Press.

Valdez D, Vorland CJ, Brown AW et al. (2020). Improving open and rigorous science: ten key future research opportunities related to rigor, reproducibility, and transparency in scientific research [version 1; peer review: 3 approved]. F1000Research, 9:1235.

Vilhuber, Lars (2020). "Reproducibility and replicability in economics." Harvard Data Science Review, 2(4).


Christensen, Garret, Freese, Jeremy, & Miguel, Edward (2019). Transparent and Reproducible Social Science Research. University of California Press.

de la Guardia, Fernando Hoces, & Sturdy, Jennifer (2019). Best Practices for Transparent, Reproducible, and Ethical Research. Inter-American Development Bank.

Dvorak, T., et al. (2019). “Efficient Empiricism: Streamlining Teaching, Research, and Learning in Empirical Courses.” The Journal of Economic Education, 50(3): 242-257.

Figueiredo, Dalson et al. (2019). "Seven reasons why: a user’s guide to transparency and reproducibility." Brazilian Political Science Review, 13(2).

Lübke, Karsten, Gehrke, Matthias, & Markgraf, Norman (2019). "Statistical Computing and Data Science in Introductory Statistics." In Applications in Statistical Computing, edited by Nadja Bauer et al., Springer.

Madden, Conor. (2019). “Growing Transparency in Research.” Available:

Marshall, E. C., & Underwood, A. (2019). “Writing in the discipline and reproducible methods: A process-oriented approach to teaching empirical undergraduate economics research.” The Journal of Economic Education, 50(1), 17–32.

Marwick, B., Wang, L.-Y., Robinson, R., & Loiselle, H. (2019). "How to Use Replication Assignments for Teaching Integrity in Empirical Archaeology." Advances in Archaeological Practice, 1–9.

Nurse, A. M., & Staiger, T. (2019). “Teaching Data Reproducibility through Service Learning.” Teaching Sociology, 47(4), 350–357.

Vilhuber, Lars (2019). "Report by the AEA data editor." American Economic Review Papers and Proceedings, 109: 718-29.


Alter, George & Gonzalez, Richard (2018). "Responsible Practices for Data Sharing." American Psychologist, 73(2): 146-156.

Baumer, Benjamin (2018). " A Grammar for Reproducible and Painless Extract-Transform-Load Operations on Medium Data." Journal of Computational and Graphical Statistics.

Berenson, Kathy (2018). Managing Your Research Data and Documentation. American Psychological Association Books.

Christensen, Garret (revised April 24, 2018). "Manual of Best Practices in Transparent Social Science Research." Berkeley Initiative for Transparency in the Social Sciences.

Christensen, Garret & Miguel, Edward (2018). "Transparency, Reproducibility, and the Credibility of Economics Research." Journal of Economic Literature, 56(3): 920-980.

Cook, Bryan et al. (2018). "Promoting open science to increase the trustworthiness of evidence in special education." Exception, 85(1):104-118.

Marwick, Ben, Boettiger, Carl & Mullen, Lincoln (2018). "Packaging Data Analytical Work Reproducibly Using R (and Friends)." The American Statistician, 72(1): 80-88.

McNamara, Amelia (2018). "Key Attributes of a Modern Statistical Computing Tool." The American Statistician, 73(4): 375-384.

Peer, Limor. (2018). “Reproducible Research Practices at ISPS.” Available: (Accessed: 29 January 2022).

Vuorre, Matti, & Curley, James (2018). "Curating research assets: A tutorial on the Git version control system." Advances in Methods and Practices in Psychological Science, 1(2): 219-236.

Yom, Sean (2018). "Comparative Politics and Area Specialization: The Hidden Costs of Analytic Transparency." Chinese Political Science Review, 1(3): 489-505.


Clement, Ryan et al. (2017). "Team-based Data Management Instruction at Small Liberal Arts Colleges." IFLA (International Federation of Library Associations and Institutions) Journal, 43(1): 105-108.

Hoeffler, Jan (2017). " ReplicationWiki: Improving Transparency in Social Sciences Research." D-Lib Magazine, 23(3/4):

McNamara, Amelia, Horton, Nicholas & Baumer, Benjamin (2017). "Greater Data Science at Baccalaureate Institutions." Journal of Computational and Graphical Statistics, 6(4): 781-783.

Medeiros, Norm & Ball, Richard B. (2017). Teaching Integrity in Empirical Economics: The Pedagogy of Reproducible Science in Undergraduate Education. In M.K. Hensley & S. Davis-Kahl (Eds.), Undergraduate Research and the Academic Librarian: Case Studies and Best Practices. Chicago: Association of College & Research Libraries. Fulltext of chapter


Dekker, Harrison & Lackie, Paula (2016). "Technical Data Skills for Reproducible Research." Chapter 7 in Kellam, Linda & Thompson, Kristi (eds.), Databrarianship: The Academic Data Librarian in Theory and Practice, American Library Association.

Knittel, Christopher & Metaxoglou, Konstantinos (2016). "Working with Data: Two Empiricists’ Experience." Journal of Econometric Methods, 5(1): 143-152.

Vardagan, Mary, Granda, Peter, & Hoelter, Lynette (2016). "Documenting Survey Data Across the Life Cycle." Chapter 29 in Christof Wolf, Dominique Joye, Tom W Smith & Yang-chih Fu (eds.), Sage Handbook of Survey Methodology, Sage Publishing.

Yom, Sean (2016). "Analytic transparency, radical honesty, and strategic incentives." PS: Political Science & Politics, 51(2): 416-421.


Erway, Ricky, et. al. (2015). Building Blocks: Laying the Foundation for a Research Data Management Program. OCLC Research.

Shorish, Yasmeen (2015). "Data Information Literacy and Undergraduates: A Critical Competency." College and Undergraduate Libraries, 22(1): 97-106.


Owens, Trevor (September 12, 2014). "Teaching Integrity in Empirical Research: An Interview with Richard Ball and Norm Medeiros." The Signal (Blog), US Library of Congress.


Ball, Richard B. & Medeiros, Norm. (2012). "Teaching Integrity in Empirical Research: A Protocol for Documenting Data Management and Analysis." Journal of Economic Education, 43(2):182-189.