Slide deck and accompanying worksheet for a session presented at the Compute Ontario Summer School 2022. This session aimed to help attendees understand their data workflow, the importance of documenting it, and the FAIR principles for curating data with a view toward sharing it with others. The worksheet pertains to a case study of a bilingual historian who uses transcription from 19th c general store notebooks into excel sheets, and how she has published these tabular data and textual hybrids in Dataverse.

The Canadian Dataverse Admin Survey - Instituitonal (2023) was conducted to gain insight into the growing community of Canadian Dataverse Collection Administrators—librarians or other institutional staff members who manage an institutional Dataverse collection (or repository) and provide support to the members of their designated local research community. The Principal Investigators (PIs) of the study are Meghan Goodchild, PhD (Queen’s University / Scholars Portal) and Alisa Rod, PhD (McGill University), who lead the “Canadian Dataverse Administrators Survey Working Group,” a subgroup of the Dataverse North Expert Group of the Digital Research Alliance of Canada. Working Group members include: Shahira Khair (University of Victoria), Danica Evering (McMaster University), Alexander Jerabek (Université du Québec à Montréal), Tara Stieglitz (MacEwan University), Lacey Cain (Carleton University), and Lina Marie Harper (Digital Research Alliance of Canada), with support from John Huck (University of Alberta) and Amber Leahey (Scholars Portal). This dataset contains a README file (TXT), documentation (PDFs), the de-identified quantiative dataset (CSV), R markdown notebook scripts to produce the figures (RMD), and the de-identified qualitative responses and analysis codes (XLSX), as well as codebooks for each qualitative question (XLSX). Le sondage sur les administrateur(trice)s du Dataverse canadien – Établissements (2023) a été menée pour étudier sur la communauté grandissante des administrateur(trice)s du Dataverse canadien, soit les bibliothécaires et autres membres du personnel qui gèrent une collection Dataverse institutionnelle (ou un dépôt) et fournissent du soutien aux membres de leur communauté de recherche locale désignée. Les chercheuses principales du sondage sur les administrateur(trice)s du Dataverse canadien sont Meghan Goodchild, Ph. D. (Université Queen’s/Scholars Portal) et Alisa Rod, Ph. D. (Université McGill), qui dirigent le « groupe de travail sur le sondage sur les administrateur(trice)s du Dataverse canadien », un sous-groupe du groupe d’experts sur Dataverse Nord de l’Alliance de recherche numérique du Canada. Les membres du groupe de travail sont Lacey Cain (Université Carleton), Danica Evering (Université McMaster), Lina Marie Harper (Alliance de recherche numérique du Canada), Alexander Jerabek (Université du Québec à Montréal), Shahira Khair (Université de Victoria) et Tara Stieglitz (Université MacEwan), avec le soutien de John Huck (Université de l’Alberta) et d’Amber Leahey (Scholars Portal). Cet ensemble de données contient un fichier README (TXT), de la documentation (PDF), l'ensemble de données quantitatives dépersonnalisées (CSV), les scripts R markdown notebook pour produire les figures (RMD), les réponses qualitatives dépersonnalisées et les codes d'analyse (XLSX, ainsi que les livres de codes pour chaque question qualitative (XLSX).

Since the launch of ODESI in 2008, academic libraries have supported the development of shared infrastructure for open discovery and access to important collections of Canadian social science survey data. With the current migration of all metadata and data collections to the new national Borealis data repository, collaborative curation and best practices are migrating as well, leading to the development of new approaches, training, policies, and documentation, to support the ongoing deposit, curation, and preservation of data in the repository. This presentation will provide an overview of the repository migration project, updates to the search interface to support further integration with Borealis, and steps taken by the technical team and community-led committee to ensure a smooth transition for all ODESI end-users and library data stewards.

Ce jeu de données contient les stratégies de recherche pour les banques de données suivantes : MEDLINE (OVID), EMBASE (OVID), EBM Reviews (OVID), CINAHL Complete (EBSCO), LILACS et Google Scholar. Les concepts recherchés sont "developing countries", "immunization programs", "children (0-5)". La recherche [finale] a été effectuée le 15 janvier 2024. Une mise à jour a été effectuée le 18 août 2025.

Video tutorials on open data and how to navigate and use the Sepsis CoLab's Dataverse., NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on this page under "collaborate with the pediatric sepsis colab."

This study was created as a tool for library staff to check metadata through Dataverse system upgrades and migrations. Record saturation is achieved by supplying a value for every metadata element, enabling comparisons to be made between test and production instances.

This dataset gives an overview of all Swedish observations of the aurora borealis that were published in various Latin publications from the first half of the eighteenth century.

Outline ● Researcher data management needs ● Features that address these needs ● How to use Dataverse ● Geospatial Data

This is the database used to create the report from an IJC work group on Microplastics.

Caroline Patenause présente Dataverse, incluant ces particularités, infrastructure, structure, le cycle de vie de données.

files describing user additions

This guidance provides data documentation and organization tips for Knowledge Syntheses searches deposited in the Dalhousie Dataverse@Borealis Data Repository.

This dataverse contains the results from all described models, along with the R scripts used for power/sample size estimation and for creating the various figures of the associated article.

Presentation on Canadian research data repositories, namely Dataverse, the Federated Research Data Repository (FRDR), UBC's Abacus.

Tab. S4. (Supplementary Material). The absolute abundance of methanogens and methanotrophs in the 63 rarefaction peat samples. See file "MG_MT_codes.pdf" for the explanation of codes attached to this Dataverse submission. File "MG_MT_codes.pdf" contains explanation of codes used in the main table.

Step-by-step instructions for CoLab members on navigating the Sepsis CoLab's Dataverse, downloading existing assets, requesting a new Dataverse for your project, uploading or modifying files, and submitting project proposals to access or contribute de-identified clinical datasets. NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on this page under "collaborate with the pediatric sepsis colab."

Simple step by step instructions for CoLab administrators on operating and maintaining the CoLab Dataverse. NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on this page under "collaborate with the pediatric sepsis colab."

This Borealis Dataverse collection contains all the ZooMS raw files (mzXML) used in the study "Comparing Neanderthal and Modern Human Subsistence at Riparo Bombrini: An Integrated Archaeozoological, Multivariate Taphonomic, and ZooMS Analysis" published in the PaleoAnthropology Journal.

A sample dataset for the UVic Dataverse Walkthrough User Guide.

During our explorations of the factors surrounding the integration of education systems in PiHPES (https://dataverse.scholarsportal.info/dataverse/pihpes), it became clear that there is a need to consider how to integrate an Open Educational Repository (OER) into our efforts. The rationale for this is more clearly delineated in Getting Value from OERs. (1) This document is a Technical Report on the specifications, data formats, protocols and standards that need to be considered in such an effort.