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3. Exploring Local Level Factors Shaping the Implementation of a Blended Learning Module for Information and Geospatial Literacy in Ontario

Author

Vine, Michelle M., Chiappetta-Swanson, Catherine, Maclachlan, John, Brodeur, Jason J., and Bagg, Julianne

Abstract

The objectives of this research study were to examine local level factors shaping the implementation of a blended pedagogical approach for geospatial- and information-literacy, and to understand implementer satisfaction. As such, we addressed the following research questions: What local-level factors shape the implementation of the blended learning model? and How satisfied are implementers (faculty, administrators and library instructional/support staff) with the new blended learning model for geospatial and information fluency? Focus groups (n = 7) plus one interview (total n = 22) were conducted with key stakeholders (e.g., staff, faculty, administrators) to better understand facilitators, barriers, and/or issues related to module development, in addition to perceptions about how the modules are utilized by teaching assistants (TAs), instructional assistants (IAs), and instructors. Participants were identified according to their status as either discipline-specific instructional staff (i.e., instructor, TA, IA) or staff who supported the development of modules (i.e., library instructional staff, library management, administrators). From an ontological standpoint that privileges an individual perspective on the nature of reality, while epistemologically seeking to understand the relationship between the "knower" and what can be known, we adopted a theory of constructivism to support this inquiry. Transcripts were imported into a qualitative analysis software package (NVivo 8.0) for organization, coding and analysis. Instructors found value in the online modules, particularly in a blended learning setting. Instructors felt that having the material in advance, in-class time could be better focused on interaction, assignments, and assessments and resulted in reduced anxiety in busy lab environments. Several key themes emerged, including: (a) instructor expectations (time constraints, sustainability, and collaborative nature of development process) and assessment (student grades and performance); (b) implementation benefits (course content consistency, more lab time devoted to instructor support, provision of additional course resources, and opportunities for student reflection; (c) implementation challenges (inadequate support for information literacy, perceptions of an increase in student workload, and definitional issues surrounding blended learning); (d) course-tailored modules (dichotomy of needs--course tailored vs. generic modules, value in a quiz component, and changing context of lab environment); and (e) key areas for improvement. Focus group respondents illustrated the importance of engaging students in the process of blended learning model development. Future iterations of blended learning modules should explicitly incorporate student feedback through focus groups during their development.

Published
2016

5. McMaster University Research Data Management (RDM) Institutional Strategy, 2023-2025

Author

Pratt, Isaac, Evering, Danica, and Brodeur, Jason J

Subjects
Research Data Management, Data Stewardship, Research Support, Institutional Strategy
Abstract

Research Data Management (RDM) is a suite of connected processes and practices applied throughout the research lifecycle. It is a critical component of the digital research infrastructure that supports scholarship and innovation within and beyond McMaster University. Applying good RDM practices improves the efficiency and impact of research, increases research visibility, facilitates collaboration, protects intellectual property, enables reuse and verification of research results, and supports a culture of reproducibility. McMaster's Research Data Management (RDM) Strategy outlines how the institution will support its researchers in producing the highest quality research, meeting disciplinary and funder expectations, and leading the adoption of best practices. McMaster commits to providing a researcher-focused and integrated framework of interconnected and complementary guidelines, infrastructure, policies, practices, supports, technologies, tools, training, and services. Our vision is to enable McMaster researchers to adapt and thrive in a research environment that places increasing emphasis on data, its good management, and its reuse. Grounded in an extensive research process and informed by broad engagement and consultation with the institution’s research stakeholder communities, this Strategy has been co-developed by McMaster’s Institutional Strategy Working Group, which operates under the governance of the Research Information Technology Committee (RITC), and comprises representatives from the faculties, research and IT support units, research centres and institutes, and affiliated research hospitals. The Strategy is issued by Dr. Karen Mossman, Vice President Research, and its implementation is a joint responsibility of the Office of the Vice President Research, the Office of the Provost and Vice President (Academic), the Office of the Assistant Vice President and Chief Technology Officer, the University Library, and the Deans of McMaster’s Faculties. Prepared for the McMaster RDM ISWG by Isaac Pratt, Danica Evering, and Jason Brodeur. The Institutional RDM Strategy document is shared in two formats: 1. McMaster-RDM-Institutional-Strategy-2023-2025.pdf - A branded version of the document. 2. McMaster-RDM-Institutional-Strategy-2023-2025-Unformatted.pdf - An unbranded (plain) version.

Published
2023

6. Social, equitable, collaborative: 10 years of teaching and learning at the Sherman Centre for Digital Scholarship

Author

Zeffiro, Andrea, Brodeur, Jason J, and Montague, Amanda

Subjects
digital pedagogy, digital scholarship, digital humanities
Abstract

In the 10 years since its founding in 2012, the Lewis and Ruth Sherman Centre for Digital Scholarship has become a hub through which expertise and resources are shared with the campus community and anyone seeking to do more with digital scholarship. In this chapter, we explore how the centre has leveraged its involvement in teaching and learning to build a community to support the needs of researchers, mentor and develop the talents of emerging scholars, and produce unique programming to make learning about digital scholarship accessible. We share the core values of teaching and learning that guide programming, services, and activities at the centre, prioritizing the social before the technological, striving for equitability of access, and being collaborative by design. The goal of our chapter is to demonstrate how approaching teaching and learning in a way that prioritizes social connections and relationships, a critical engagement with digital technologies, and relational accountability has enabled the centre to iteratively build a reciprocal model of engagement that continues to adapt to the evolving role of digital scholarship in the McMaster community.

Published
2022

7. Advancing Interdisciplinary Data Science Training for the Humanities and Social Sciences

Author

Zeffiro, Andrea, Brodeur, Jason J, Whitwell, Sarah, Van, Allison, Dion, Michelle, Holtz Schramek, Evangeline, and Litt, Veronica

Subjects
data fluency, knowledge mobilization, interdisciplinary data science training, data literacy, open educational resources, research support and acceleration, data acumen
Abstract

This report documents the outcomes and key learnings that stemmed from the 2020-2021 SSHRC funded The Relevant Research Series. A workshop series jointly organized and hosted by the Sherman Centre for Digital Scholarship and Spark: a centre for social research innovation at McMaster University. The recommendations can inform future interdisciplinary data science training initiatives at McMaster University and beyond. Social Sciences and Humanities Research Council of Canada

Published
2022

16. Canadian Developments in Open Scholarship

Author

Brodeur, Jason J and None

Subjects
Open Access, Open Educational Resources, Open Data, Research Data Management, Open Education, Open Scholarship
Published
2017

18. Response of carbon and water fluxes to environmental variability in two Eastern North American forests of similar-age but contrasting leaf-retention and shape strategies.

Author

Beamesderfer, Eric R., Arain, M. Altaf, Khomik, Myroslava, Brodeur, Jason J., and Burns, Brandon M.

Subjects
BROADLEAF forests, CONIFEROUS forests, METEOROLOGY, DECIDUOUS forests, PRECIPITATION variability, ATMOSPHERIC temperature, CARBON cycle, EVAPOTRANSPIRATION
Abstract

The annual carbon and water dynamics of two Eastern North American forests were compared over a six year period from 2012 to 2017. The geographic location, forest age, soil, and climate were similar between the sites, however, the species composition varied: one was a deciduous broadleaf forest, while the other an evergreen needleleaf forest. During the 6-year study period, the mean annual net ecosystem productivity (NEP) of the coniferous forest was slightly higher and more variable (218±109 g C m -2 yr -1) compared to that of the deciduous broadleaf forest NEP of 200±83g C m-2 yr -1. Similarly, the mean annual evapotranspiration (ET) of the conifer forest over the 6-year study period was higher (442±33 mm yr-1) compared to that of the broadleaf forest (388±34 mm yr-1), but with similar interannual variability. Significant abnormalities in fluxes were measured between sites during drought years. Summer meteorology greatly impacted fluxes at both sites, but to varying degrees and with varying responses. In general, warm temperatures caused higher ecosystem respiration (RE), resulting in reduced mean annual NEP values -- an impact that was more pronounced at the deciduous broadleaf forest compared to the evergreen needle-leaf forest. However, during drought years, the evergreen forest saw greater annual reduction in carbon sequestration compared to the deciduous forest. In the evergreen conifer forest, variability of summer meteorology greatly controlled the forest's annual carbon sink-source strength. Annual ET at both forests was driven by changes in air temperature (Ta), with the largest annual ET measured in the warmest years in the deciduous forest. Additionally, prolonged dry periods with increased Ta, greatly reduced ET. During drought years, the carbon and water fluxes of the deciduous forest were less sensitive to changes in temperature or water availability compared to the evergreen forest. If longer periods of increased temperatures and larger precipitation variability during summer months are to be expected under future climates, our findings suggest the carbon sink capacity of the deciduous forest will continue, while that of the conifer forest remains uncertain in the study region. [ABSTRACT FROM AUTHOR]

Published
2020
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19. Carbon, water and energy exchange dynamics of a young pine plantation forest during the initial fourteen years of growth

Author

Chan, Felix C.C., primary, Altaf Arain, M., additional, Khomik, Myroslava, additional, Brodeur, Jason J., additional, Peichl, Matthias, additional, Restrepo-Coupe, Natalia, additional, Thorne, Robin, additional, Beamesderfer, Eric, additional, McKenzie, Shawn, additional, Xu, Bing, additional, Croft, Holly, additional, Pejam, Mahmoud, additional, Trant, Janelle, additional, Kula, Michelle, additional, and Skubel, Rachel, additional

Published
2018
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21. The Process of Discovery: The CLIR Postdoctoral Fellowship Program and the Future of the Academy

Author

Henry, Charles, Waraksa, Elizabeth A., Williford, Christa, Coats, Lauren, Shore, Elliott, Maclachlan, John C., Parrott, Jennifer M., Rose-Steel, Tamsyn, Kouper, Inna, Rawson, Katie, Chen, Amy, Pickle, Sarah, Waldroup, Heather, Flores, Jodi Reeves, Brodeur, Jason J., Daniels, Morgan G., Nicholls, Natsuko, Turnator, Ece, Sayre, Meridith Beck, Brunner, Marta, Croxall, Brian, and McGinn, Emily

Subjects
Data, Library Education, Futures (of Society), Student Experience, Information Management, Research, Educational Trends, Fellowships, Graduate Students, Higher Education, Surveys, Educational History, Doctoral Programs, Cooperation, Academic Libraries, Postdoctoral Education, Exhibits, Library Materials, College Instruction, Electronic Libraries
Abstract

This volume celebrates the first decade of CLIR’s Postdoctoral Fellowship Program by bringing together 20 past and present CLIR postdoctoral fellows to share their thoughts on their experiences and, more broadly, on the direction of academia. Each essay is a look into the working conditions associated with creating a new profession of expertise and responsibilities in response to emerging forms of scholarly communication and pedagogy.

Published
2015
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27. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, Gilberto Z., Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle S., Cheah, Youwei, Poindexter, Cristina M., Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Ribeca, Alessio, van Ingen, Catharine, Zhang, Leiming, Amiro, Brian D., Ammann, Christoph, Arain, Muhammad A., Ardö, Jonas, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis D., Barr, Alan G., Beamesderfer, Eric R., Marchesini, Luca B., Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, David P., Black, Thomas A., Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean Marc, Bowling, David R., Bracho, Rosvel, Brodeur, Jason J., Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Cremonese, Edoardo, Curtis, Peter S., D'Andrea, Ettore, da Rocha, Humberto R., Dai, Xiaoqin, Davis, Kenneth J., de Cinti, Bruno, De Grandcourt, Agnès, De Ligne, Anne, de Oliveira Jr., Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Di Bella, Carlos M., Di Tommasi, Paul, Dolman, Han A.J., Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Éric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim A.M., Eugster, Werner, Ewenz, Cäcilia, Ewers, Brent E., Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew J., Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly A., Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher, Hanson, Chad V., Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernhard, Hinko-Najera, Nina, Hörtnagl, Lukas, Hutley, Lindsay B., Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczyński, Marcin, Janous, Dalibor, Jans, Wilma W.P., Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grünwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Hansen, Birger Ulf, Knohl, Alexander, Knox, Sara H., Kobayashi, Hideki, Koerber, Georgia R., Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew S., Kruijt, Bart, Kurbatova, Juliya, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean M., Lion, Marryanna, Lohila, Annalea, López-Ballesteros, Ana, López-Blanco, Efrén, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje M., Lüers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William J., Mastepanov, Mikhail, Matamala, Roser, Matthes, Jaclyn H., Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M.S., Merbold, Lutz, Meyer, Wayne S., Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin, Moors, Eddy J., Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo D., Nouvellon, Yann, Novick, Kimberly A., Oechel, Walter C., Olesen, Jorgen E., Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan W., Paul-Limoges, Eugénie, Pavelka, Marián, Peichl, Matthias, Pendall, Elise G., Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Powell, Thomas L., Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Üllar, Raz-Yaseef, Naama, Reed, David E., Resco de Dios, Victor, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sánchez-Cañete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans P., Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Scott, Russell L., Sedlák, Pavel, Serrano-Ortiz, Penelope, Shao, Changliang, Shi, Peili, Shironya, Ivan I., Siebicke, Lukas, Šigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert, Sturtevant, Cove S., Suyker, Andrew E., Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel J., Thom, Jonathan, Tiedemann, Frank, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, Van Der Molen, Michiel K., van Gorsel, Eva, van Huissteden, Ko J., Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natascha N., Walker, Jeffrey, Walter-Shea, Elizabeth A., Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven C., Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William L., Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deborah A., Biraud, Sébastien C., Torn, Margaret S., and Papale, Dario

Subjects
13. Climate action, 15. Life on land
Abstract

The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible., Scientific Data, 7, ISSN:2052-4463

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