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Research Data Management (RDM)

Digital Research Services (DRS)

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Welcome to Digital Research Services

Welcome to Digital Research Services from Lady Davis Institute. This website provides information on Services available for digital Research at LDI throughout the life cycle of your research project.

Digital Research Infrastructure is a collection of tools and services that allow researchers to process data into scientific breakthroughs.

To safeguard our research community’s digital ecosystem, we will build on areas of strength and expertise, improving tools, technologies, and services to allow our research community to achieve the LDI Vision.

We are committed to empowering our researchers, staff, trainees, and volunteers in all fields, as well as consultants and third parties who have access to our resources. Through proactive measures and ongoing education, we aim to help them navigate the digital landscape securely while upholding confidentiality, integrity, and safeguarding sensitive information.

The LDI encourages a cost-efficient approach, and we will leverage our relationship with the Centre intégré universitaire de santé et de services sociaux du Centre-Ouest-de-l’Île-de-Montréal (CIUSSS COMTL) and McGill University to find and promote synergies, such as training strategies and content and data repositories.

Data Access Request Process

To ensure proper handling and ethical use of research data, all users seeking access to datasets hosted on Clinical records must submit a formal Data Access Request (DAR). This process is designed to uphold the integrity, privacy, and security of the data while facilitating academic and scientific research. Requests are reviewed in accordance with applicable policies, including data usage agreements, ethical standards, and compliance with relevant laws and regulations.

To initiate the request, users must provide detailed information about the intended use of the data, including a clear description of the research project, its objectives, and any specific datasets required. Once submitted, the request will undergo a review by the Data Access Committee, which may involve assessing the alignment of the research with the dataset’s terms of use and ethical guidelines. Depending on the nature of the request, additional documentation or revisions may be requested before approval.

Please follow the outlined steps to submit your Data Access Request and ensure all required information is included to facilitate a timely review.

We provide a platform that assists researchers in requesting access to research data in compliance with our institutional policies.

View our data-holding

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Submit a data access request​

(Link to DAR platform)

Consultation and Advice

Welcome to our Online Consultation and Advisory Service! The Digital research service assists researchers through the research lifecycle.

Whether you’re seeking expert guidance on a specific issue, need help navigating complex challenges, or are looking for tailored solutions, our team of professionals is here to assist you.

Our goal is to

  • Provide technical consultation for specific research needs related to data governance.

  • Provide best practices by leveraging existing institutional resources

  • Provide webinars and ongoing training

We offer personalized, one-on-one consultations across various fields. We provide guidance for the following:

  • Clarification on privacy standards and policies

  • Advice about compliance with IT policies
    Guidance on the JGH Institutional Approval process for research project

  • Request details on IT-related expenses

  • Assistance with DMP-related inquiries

  • Consulting service for data management plan creation

Let us help you take the next step toward achieving your goals. Submit your inquiry here under the section Data Governance (password required).

View our data-holding

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Submit a data access request​

(Link to DAR platform)

Training, Courses & Workshops

Here, you’ll find a comprehensive collection of online courses, webinars, and workshops designed to help you enhance your skills, stay up-to-date with the latest industry trends, and expand your knowledge. Whether you’re looking to deepen your expertise in a specific area or explore new topics, our expertly crafted content is tailored to meet your learning needs. Explore the offerings and take advantage of the available flexible, on-demand learning opportunities. Start your learning journey today and unlock new personal and professional growth possibilities!

News & Events

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Contact us

Gustavo Wendichansky

For general enquiries

about the LDI RDM Strategy

gustavo.wendichansky@ladydavis.ca

Stephane Benhamou

For technical enquiries

about the LDI RDM Strategy

stephane.benhamou@ladydavis.ca

Appendix A

Definitions

Data are facts, measurements, recordings, records, or observations collected by researchers and others, with a minimum of contextual interpretation. Data may be in any format or medium taking the form of text, numbers, symbols, images, films, video, sound recordings, pictorial reproductions, drawings, designs or other graphical representations, procedural manuals, forms, diagrams, workflows, equipment descriptions, data files, data processing algorithms, software, programming languages, code, or statistical records. (Adapted from: Tri-Agency RDM Policy FAQ)

Data Lifecycle refers to all the stages in the existence of data from creation to destruction. The data lifecycle provides a high-level overview of the stages involved in successful management and preservation of data for use and reuse. This broadly includes the following stages: Plan, Create, Process, Analyze, Disseminate, Preserve and Reuse. (Adapted from: CASRAI Definition of Data Lifecycle, DataOne, & Alliance-Portage)

Data Stewardship refers to knowledge and skills required to effectively manage data assets. Data stewardship is often described as data governance in action. This includes the oversight of data to ensure fitness for use, the accessibility of the data, and compliance with polices, directives and regulations. (Adapted from: Statistics Canada Data Literacy Training)

Research Data Management refers to the processes applied through the lifecycle of a research project to guide the collection, documentation, storage, sharing and preservation of research data. (Adapted from: Tri-Agency RDM Policy FAQ and Alliance-Portage Definition)

Researcher means a person to whom the CCOMTL has awarded research privileges, excluding research personnel or students. (From: Regulatory framework for research involving humans at the Centre intégré universitaire en santé et services sociaux du Centre-Ouest-de-l’Île-de-Montréal)