Funding Opportunity for Data Science and Software Engineering
Applications open November 2026
Max Award
Phase 2 / 3
Duration
Project period
Award Cycles
Recurring
Anticipated Awards
FY 2026–27
Page Contents
Summary
The California Institute for Regenerative Medicine’s (CIRM’s) Infrastructure programs and initiatives allow CIRM to directly address challenges that hinder progress in the regenerative medicine field. The Data Science and Software Engineering Awards (INFR9) focus on enabling the integration of diverse data sources (e.g., clinical specimens, electronic health records, in vivo models, stem cell models, multiomics, computational modeling) to accelerate the discovery and translation of novel targets and biomarkers.
Advances in data science, computational modeling, and AI have created opportunities to catalyze discovery in regenerative medicine; however, federal funding opportunities often focus on hypothesis-driven research and may not fully support the iterative software development, data integration, and computational data infrastructure required to capitalize on emerging data science capabilities. The Data Science and Software Engineering Awards complement CIRM’s support for discovery-stage research by supporting the development of open source software for multimodal data integration. These tools will leverage advances in stem cell and genetic research, digital biology, and computational science to drive progress in regenerative medicine.
Potential Applicants can use the navigation to locate detailed information about the program, including its background, objective, scope and structure, eligibility requirements, Application preparation and review, Award administration, and resources and contact information.
How to use this Announcement
Use the table of contents as a roadmap to detailed program requirements: background and objective, scope and structure, eligibility, Application Preparation, Application Review Information, Award Administration, and Resources.
Background
Advancing stem cell-based and genetic therapies requires overcoming major challenges in integrating multimodal data, including molecular and cellular profiles, preclinical models, and patient-level clinical data. Open source software engineering and data science, including machine learning and AI, can address these bottlenecks by improving data interoperability, enabling reproducible workflows, and supporting integration with emerging foundation models. Conventional research funding rarely prioritizes the iterative software development and data infrastructure needed to address these challenges. Targeted support from CIRM can enable researchers to fully leverage modern computational capabilities and accelerate progress in regenerative medicine.
Through the Data Science and Software Engineering Awards, CIRM will support the development of OSS tools with applications in regenerative medicine. The Data Science and Software Engineering Awards fund collaborations to build and deploy creative OSS solutions that capitalize on recent advances in stem cell and genetic research, digital biology, and computational science, including:
- Advances in a broad range of technologies, both data-generating and analytical approaches (e.g. multiomics, massively parallel or automated approaches, ML/AI, medical devices and wearables)
- Advances in disease models and mechanistic understanding (e.g., stem cell models, preclinical animal models, microtissues)
- Advances in data sharing (e.g., federated learning, privacy-preserving technologies, greater volume of data available for reuse)
Objective
The objective of this program is to support the development of innovative, open source software (OSS) for integration of disparate datatypes to accelerate research in regenerative medicine. The expected outcome is the development and deployment of an OSS tool to solve a multimodal data integration bottleneck in stem cell-based and genetic therapy research that has wide applicability and scalable impact.
CIRM’s Data Science and Software Engineering Awards provide dedicated support for adaptable, extensible open source software that leverages the diverse datasets generated across CIRM’s R&D portfolio. This dry lab funding opportunity strengthens computational capacity in research environments and expands leadership opportunities for data scientists and software engineers by supporting the creation of high-quality, reusable software built on engineering best practices.
Program guiding principles
Guiding principles describe how CIRM translates its funding priorities and Strategic Allocation Framework recommendations into desired portfolio outcomes. Guiding principles shape program objectives, inform the criteria by which projects are selected by the Grants Working Group (GWG) for discussion and recommendations, and inform the recommendations that CIRM teams bring to the Application Review Subcommittee (ARS) to support funding decisions.
To achieve the objective of this program, guiding principles will prioritize projects that:
- Address barriers to integrating multimodal data in regenerative medicine
- Innovate through open and collaborative software development to accelerate research
- Create broadly-applicable, validated tools that maximize the value of CIRM-funded data
The guiding principles are applied throughout the Application lifecycle to ensure the development of a scientifically meritorious portfolio aligned with CIRM’s strategic goals.
Scope and Structure
Data Science and Software Engineering Awards will support OSS development through collaborations led by pairs of interdisciplinary investigators, bringing together regenerative medicine and computational and/or software engineering expertise to address data integration bottlenecks in regenerative medicine. The program is open to projects across research topics and disease indications, provided they align with the eligibility requirements detailed in the Eligibility section.
Projects must develop, maintain, or extend computational software tools and resources that integrate datasets from different sources to enable new analyses relevant to target, biomarker, and candidate discovery. Data integration challenges may involve data from disparate acquisition modalities, model systems, or biological scales.
Projects will produce a stand-alone software product that is adaptable and extensible, with utility beyond a single research question or project. Projects must be designed to achieve the expected outcome defined in the Objective and follow transparent development and OSS best practices. Applicant teams must develop and execute a Deployment, Adoption, and Sustainability Plan and incorporate community engagement activities to inform software development. Refer to CIRM Transparent Development Requirements for additional information.
This program will not support proposals that include wet-lab experimental biology or development of data repositories. Tools with limited applicability beyond a single research question do not align with the program’s focus on broadly useful OSS development for the regenerative medicine research community. Applicants are encouraged to explore the full range of CIRM funding programs to identify the opportunity that best matches their research objectives.
Program activities
Applicants may request funds to cover costs for activities conducted wholly in California and may also request costs for activities conducted outside of California, provided that the California Organization exercises direction and control over the activities.
CIRM will fund the following activities under this opportunity:
Required activities
- Development and deployment of open source software
- Development and execution of a Deployment, Adoption, and Sustainability Plan
- Community engagement activities, e.g., workshop, hackathon, user feedback channels or focus groups to gather feedback to inform development of the software tool and encourage community contributions
- Validation or proof-of-concept of the software project using existing, appropriately accessible data consistent with CIRM’s data sharing and management requirements
- If the dataset is in a controlled access repository or requires IRB approval to access (e.g., patient data or EHR), this must be in place by the time of Application
- Activities associated with managing, preserving, and sharing data and knowledge from the study
Allowable activities
- Activities that support the development, maintenance, or extension of innovative open source software (e.g., pipelines, packages, and resources) for multimodal data integration to accelerate research in regenerative medicine.
- Activities that address a data science research question involving the identification or validation of targets or biomarkers, or candidate discovery (through lead optimization)
- Partnering activities with patient-centered organizations or other project-relevant community groups to incorporate patient, provider, or user perspectives into the development of the software project
- Activities to support outreach or communication of research plans or outcomes with the wider public
- Travel and accommodation expenditures associated with attendance of CIRM organized meetings and conferences
- Engagement activities with trainees supported through CIRM’s Education or Infrastructure programs
Unallowable activities
CIRM funds cannot be used to support the following activities under this opportunity:
- Wet-lab activities, including new laboratory-based data generation from biological samples
- Activities to build new data repositories (i.e., creating a database for the purpose of storing and sharing datasets)
- Building a knowledge platform or data coordinating center (i.e., digital infrastructure that serves as a combined repository and collaborative workspace to store, manage, and/or analyze data) to support CIRM-funded programs
- Construction or renovation of physical facilities
- Costs incurred on or before the date of ICOC approval
- Activities already budgeted or paid for under a prior, existing or pending CIRM Award or which are already supported by another funder
Award amount and duration
The maximum amount of funding that may be requested for a Data Science and Software Engineering Award is $500,000 total costs. The maximum Award duration is two years. The requested amount must be adequately justified and is subject to adjustments prior to the issuance of an Award based on assessments by the Grants Working Group, the CIRM team, or by the Application Review Subcommittee of the ICOC.
Funding allocation
CIRM anticipates making 15-20 Data Science and Software Engineering Awards per year, contingent on the number of Applications at each funding level that are recommended.
Provisional timetable
Data Science and Software Engineering funding opportunities will recur annually. The anticipated timeline of each funding cycle is as follows:
Date | Provisional Timetable |
Grants Working Group Selection | Approximately 60 days after Application deadline |
Grants Working Group Discussion | Approximately 120 days after Application due date |
Application Review Subcommittee Award Approval | Next available Application Review Subcommittee meeting after Grants Working Group Discussion |
Award Start | Must be ready to start Award activities within 90 days of Award approval |
Eligibility
All the following requirements must be fully satisfied for an Application to be accepted and considered for funding by CIRM. Refer to CIRM Award Management Policy (AMP) and CIRM Funding Opportunities: Common Requirements and Definitions for a list of definitions and requirements.
(1) The proposed project must be in scope, and its primary goal must be to develop open source software that will lead to the expected outcome defined in the Objective.
(2) The Core Team must include at least two (2) investigators.
The Applicant teams must, at a minimum, include the following investigators:
- One (1) Principal Investigator (PI) who will serve as primary point of contact between the team and CIRM staff, and
- At least one (1) Co-Investigator (Co-I)
The PI and all Co-Is must be employed by a California Organization per CIRM’s definition described in the CIRM Funding Opportunities: Common Requirements and Definitions at the time of Application and throughout the project duration.
(3) The Applicant must certify that the Core Team (PI and Co-I) includes members with specific relevant expertise.
To encourage the integration of multiple disciplines, at least one member of the Core Team (PI or Co-I) must:
- Possess relevant regenerative medicine expertise
- Possess relevant computational or software engineering expertise
(4) An investigator may participate as a Core Team member (PI/Co-I) on no more than two Data Science and Software Engineering Awards (INFR9) Applications per funding cycle and may serve as PI on no more than one of those Applications.
- An investigator may be listed as PI on one Application and Co-I on one other Application, or
- An investigator may be listed as Co-I on up to two different Applications.
(5) The PI and/or any Co-I must not currently have another Application that is substantially similar or has overlapping activities pending review or approval under any CIRM opportunity.
(6) The Principal Investigator (PI) and Co-Investigator (Co-I) must adhere to several requirements including minimum effort commitments.
PI and Co-Investigator (Co-I) must adhere to general eligibility requirements described in the CIRM Award Management Policy (AMP) and the CIRM Funding Opportunities: Common Requirements and Definitions. These roles are considered Critical Roles, as defined in the AMP, and are subject to the associated requirements. The following minimum effort commitments to be eligible for Data Science and Software Engineering Awards:
- PI must commit at least 5 percent effort to working on the project. All effort must be expended in California.
- Co-I must commit at least 5 percent effort to working on the project. All effort must be expended in California.
(7) The PI and Co-I must not be affiliated with the same research group or laboratory at the time of Application.
To facilitate interdisciplinary collaboration, the Data Science and Software Engineering Awards PI and Co-I must not currently be affiliated with the same research group or the same laboratory. Applicant teams are encouraged to represent distinct but complementary areas of expertise, thereby enabling the achievement of Project Milestones that would not be feasible through a single perspective.
(8) The Applicant must be ready to initiate work on the funded project within 90 days of approval.
Given the urgency of CIRM’s mission, all approved Awardees must initiate work on the funded project within 90 days of approval and authorization for funding by the Application Review Subcommittee (ARS) of CIRM’s governing board, the Independent Citizens’ Oversight Committee (ICOC).
(9) The Application must be accurate and complete.
All required components of the Application must be completed and may not contain false or inaccurate information.
(10) The Applicant must meet CIRM’s definition of a California Organization.
The Applicant must be a California Organization per CIRM’s definition described in the CIRM Award Management Policy (AMP) at the time of Application.
An institution or organization may submit more than one Application per funding cycle under this opportunity.
(11) For-Profit Organizations must demonstrate Solvency.
Solvency requirements are defined in CIRM Funding Opportunities: Common Requirements and Definitions.
(12) The Applicant must be in “Good Standing.”
Applicants and their Affiliates must represent and certify that they are in Good Standing, as described in CIRM Funding Opportunities: Common Requirements and Definitions.
Application Preparation
Consultations
Prospective Applicants may request a consultation with CIRM Science Officers during the Application period to address questions about their project’s eligibility or other project-specific questions.
Webinars
CIRM staff aims to conduct public webinar(s) and Q&A sessions after posting of this Program Announcement. Prospective Applicants are encouraged to sign up for email alerts and register for these sessions on our website.
How does one submit an Application?
Applications must be completed and submitted online using the CIRM Grants Management System. A prospective PI must create a login in the system to open an Application and submit materials. Applications are available in the system to the PI or their approved delegate. A PI may submit only one Data Science and Software Engineering Awards (INFR9) Application per review cycle.
What components does an Application include?
CIRM’s online Application is designed to collect information for CIRM staff to assess eligibility, for Grants Working Group reviewers to evaluate the project, and for CIRM rapidly to initiate an Award if the project is approved for funding.
In the online Application, Applicants must fill out an eligibility form, indicate Key Personnel involved in the project, provide a list of Consultants and Subcontracts, provide an overview of proposed activities, and prepare and justify an appropriate budget.
The document uploads page, found in the online application system, provides templates and guidelines for writing the Proposal, Biosketches, Software Development Roadmap, and other key components of the Application. Applicants must use the provided templates and adhere to the prescribed page formatting and page limits.
What are the contents of the Application Proposal?
The Application Proposal comprises the bulk of detailed information on the project, organized within the following sections. Page limits and formatting information will be provided on the Proposal template.
- Overall Objective and Major Milestones: May include graphical abstract if desired.
- Statement of Significance and Impact: Brief description of how the proposed software project would accelerate target, biomarker, or candidate identification and/or validation. Description of the current landscape of open and proprietary tools or approaches targeting the data integration bottleneck addressed by the proposed software tool, and the value proposition of the proposed software tool for regenerative medicine researchers over what is currently available.
- Statement of Innovation: Brief description of how the proposed software project incorporates new approaches, technologies or frameworks, particularly in stem cell or genetic research and in computational fields. A description of how this project integrates different disciplines and generates capabilities beyond existing or single-domain approaches.
- Statement of Population Impact: Statement describing how the project will broaden or extend the relevance of scientific discoveries to the spectrum of affected populations, incorporate perspectives from the relevant groups, enhance participation in data science by a broad range of users and contributors, and include strategies to address biases in models and potential harms from incomplete or unrepresentative data.
- Rationale: Description of the scientific and technical rationale for the proposed approach(es) and how it is supported by existing tools, methods, literature, and evidence.
- Plan and Software Development Roadmap: A description of methods and techniques and analytical plan to be employed to execute the software development roadmap, and potential pitfalls and alternative approaches, with sufficient detail to assess feasibility. Propose strategies or indicators to evaluate progress on the development, adoption, and utility of the tool. A demonstration of the software project’s functionality through proof-of-concept and/or validation using existing, appropriately accessible data consistent with CIRM’s data sharing and management requirements is required by the end of the Award.
- Deployment, Adoption, and Sustainability Plan: Description of activities for documenting the code, testing and release processes, deploying the software for community use, issue tracking, promoting user adoption, and encouraging community contribution and maintenance. Community and contributor engagement activities to gather feedback to inform development of the software tool will be outlined here.
- Team Expertise and Organization: A description of the PI, Co-Investigator and most relevant Key Personnel, highlighting the team’s expertise and experience relevant to the execution of the proposed project. Team members that fulfill the defined eligibility requirements (Project Eligibility, Page 7) for specific expertise must be highlighted here. Key Personnel are defined in CIRM Funding Opportunities: Common Requirements and Definitions. This section should also include a communication and management plan for the collaborative effort.
- Resources and Environment: A brief description of the resources available to the project and environment in which the research will take place.
- References: Sources cited in the proposal.
What should one know before preparing the budget?
The total CIRM Award is subject to a total Award cost cap of Allowable Project Costs. Allowable Project Costs are those costs permitted under CIRM policies and regulations and include direct, Facilities, and Indirect Costs. CIRM will not fund costs that exceed the specified Award amount, and Applicants are expected to justify their budgets within these limits, inclusive of cost-sharing from the Applicant or third parties.
Budgets must be justified in detail, including all Subcontracts and Consultant fees, including, if applicable, any additional costs that would be funded from another source. Allowable Project Costs for research funded by CIRM are detailed in the CIRM Award Management Policy (AMP). Generally, project costs for personnel, supplies, travel, Equipment, data sharing/management and Subcontracts may be claimed. Requests to purchase Equipment will be reviewed and subject to approval by CIRM during pre-funding administrative review (PFAR) or via a Prior Approval Request (PAR) during the Project Period. Limits for specific cost categories must be observed.
CIRM makes no prior stipulations on how funds are distributed among the Principal Investigator and Co-Investigators in the team. However, specific budget allocations for each member of the team (PI and Co-Investigators) must be delineated in the budget justification and should reflect relative contributions and project needs. This aspect of the budget will be subject to evaluation by the Grants Working Group.
What are direct facilities costs and how much can an Applicant claim?
Direct facilities costs are the general operating costs of the Awardee’s facilities attributable to housing all elements of the CIRM-Funded Project or Activity. Facilities costs for Non-Profit Applicants are limited to the current applicable, federally negotiated rates for the organization as defined by the Office of Management and Budget (OMB) Circular A-21 or A-122. Facilities costs for For-Profit Awardees or any Non-Profit Awardees without a federally negotiated Facilities and Administrative Rate agreement are limited to 15% of direct project costs and must be consistent with facilities rates applied to similar research awards at the organization. Facilities rates are applied to direct project costs exclusive of the costs of Equipment, Tuition and Fees, Research Patient Care Costs, as well as the costs of each individual Subcontract, Consultant and service agreement in excess of $50,000. The Facilities cost rates approved and in place at the time of the Application are to be applied to the entire Project Period.
What are Indirect Costs and how much can an Applicant claim?
Indirect Costs are administrative costs of the Awardee incurred for common or joint objectives, which cannot be readily and specifically identified with a particular project. For-Profit Organizations cannot claim Indirect Costs. For Non-Profit Organizations, Indirect Costs will be limited to 20% of allowable Direct Research Funding Costs awarded by CIRM (i.e., project costs and facilities costs), exclusive of the costs of Equipment, Tuition and Fees, Research Patient Care Costs, as well as the costs of each individual Subcontract, Consultant and service agreement in excess of $50,000. The Indirect Cost rate budgeted at the time of Application is to be applied to the entire Project Period.
Change in status
Applicants are required to notify CIRM of any material change in status while the Application is pending review (e.g., a change in PI, the Applicant no longer qualifies as a California Organization, etc.).
Application Review Information
What is the process for evaluating an Application?
Eligibility and completeness review
CIRM will assess whether the proposed project meets eligibility requirements sought under this program. If CIRM determines, in its sole discretion, that an Application does not meet the eligibility requirements of the program or that the submitted Application is incomplete or contains false or inaccurate information, CIRM will notify the Applicant of its decision and, if CIRM deems it appropriate, allow an opportunity for the Applicant to remedy the deficiencies. If CIRM deems it inappropriate, or if the Applicant does not remedy the error in a timely manner, CIRM will terminate all further action on the Application.
CIRM may exercise its authority to make eligibility determinations at any time before an Award is executed.
Grants Working Group Application selection
If the number of Applications submitted exceeds the volume that can reasonably be reviewed by the Grants Working Group (GWG) panel, the GWG will conduct an initial screening to identify those Applications that best align with the Data Science and Software Engineering Awards (INFR9) objectives based on the criteria listed below. Applications will receive a composite score, which combines two measurements from the GWG reviewers, selection and rank. The two measurements are weighted 60% and 40% respectively. A composite score cut-off will be established at the closest numerical break to the target number of Applications which will proceed to GWG discussion.
Reviewers may provide brief comments or categorical assessments at this stage; however, detailed feedback to Applicants is not guaranteed.
The selection criteria for the Data Science and Software Engineering Awards (INFR9) Applications are:
- Value proposition of the software project to regenerative medicine researchers and potential for impact
- Responsiveness to the program objective and scope
- Technical innovation relative to the current state of regenerative medicine data science, such as accounting for emerging technologies or frameworks in both computational and stem cell or Genetic Research fields.
The CIRM President and CEO, upon recommendation from CIRM scientific staff, may advance a limited number of additional Applications not selected by the GWG if there is a compelling programmatic justification.
Grants Working Group discussion and recommendations
The scientific merit of each Application that is selected for full review will be assessed by the Grants Working Group (GWG), which is composed of fifteen subject matter experts from outside California, seven patient advocate or nurse members of the Independent Citizens’ Oversight Committee (ICOC) (called “GWG Board Members”), and the Chair of the ICOC. Information about the bylaws of the GWG and a list of scientific members who may participate in the GWG review can be found at Our Working Groups page. The composition of the ICOC can be viewed on Our Governing Board page.
The fifteen participating scientists on the GWG will evaluate the Applications and score them on a scale of 1-100 according to scientific and technical merit, applying the review criteria described below. For purposes of making funding recommendations to CIRM’s board, each Application will be assigned to one of two categories based on the median score as follows:
Median score 85 or above: The Application has exceptional merit and warrants funding, if funds are available; or
Median score below 85: The Application is not recommended for funding.
The Application Review Subcommittee (ARS) of the Independent Citizens’ Oversight Committee (ICOC) will make final funding decisions.
Consideration of past CIRM Award information (if applicable)
The Grants Working Group (GWG) may consider information from a previously funded and related CIRM Award as part of its review. CIRM will provide the GWG with objective information regarding a related Award that CIRM, in its sole discretion, deems relevant, including but not limited to achievement of specific milestones, data, and outcomes for a related CIRM Award or Awards.
A “related CIRM Award” includes: (1) an Award for which the Applicant PI served as the PI, a Co-PI, a Co-Investigator, or otherwise substantially participated in the conduct of the Award; (2) an Award involving the same research project or product; or (3) an Award that includes overlapping team members.
Confidentiality
CIRM’s confidentiality and conflict screening rules apply to everyone who will have access to Applications or who will attend any review meeting in which confidential information is discussed, including but not limited to CIRM team members, reviewers, experts providing input to reviewers, and members of the Independent Citizens’ Oversight Committee (ICOC). Per Gov. Code §6254.5(e), non-public records disclosed to government agencies under confidentiality agreements are not public records subject to disclosure to the public.
How will the scientific merit of an Application be evaluated?
1. Value proposition—Evaluate the project’s value proposition and potential for impact
- Assess the extent to which the software tool would accelerate target, biomarker, or candidate identification and/or validation. Consider the current landscape of open source and proprietary tools.
- Evaluate how likely the proposed product is to ease bottlenecks in multimodal data integration and/or regenerative medicine research.
- Evaluate the potential for a significant user base and likelihood of broad community adoption.
- Assess the extent to which the software tool strengthens the broader scientific open source ecosystem.
2. Innovation—Evaluate the project for technical innovation relative to the current state of regenerative medicine data science
- Assess the extent to which the proposed software tool incorporates new approaches and accounts for emerging technologies or frameworks, particularly in stem cell or genetic research and in computational fields.
- Assess the extent to which the proposed software tool integrates data, frameworks, or results across different disciplines to generate capabilities beyond those achievable with existing or single-domain approaches.
- Assess the extent to which the proposed software enables new scientific discoveries or innovation in research, rather than solely advancing software development practices.
3. Rationale—Evaluate the technical and scientific rationale in the proposal
- Assess the scientific and computational rationale for the proposed approach, including how it is supported by existing tools, methods, literature, and available evidence.
- Evaluate the technical rationale for the proposed software engineering approaches.
4. Plan and Design—Evaluate the project plan and design
- Evaluate the quality and feasibility of the software development plan. For example, consider adherence to software engineering best practices, transparent development principles, and software extensibility and sustainability.
- Evaluate the extent to which the proposed activities are appropriate to efficiently enable target, biomarker, and candidate discovery. For example, consider proposed timeline, budget, metrics and evaluation strategy for software development, deployment, adoption, sustainability, community engagement, including usability and accessibility.
- Evaluate the appropriateness of the team’s leadership, expertise (particularly software development expertise), resources, staffing, team communication and management of the collaborative effort.
5. Population impact—Evaluate the extent to which the project considers the potential impact of the proposed open source software across affected populations and/or the user community
- Assess how effectively the proposed outreach, partnerships, community engagement, and educational activities will expand and strengthen the software’s user and contributor communities and/or enhance the population relevance of potential discoveries.
- Evaluate the extent to which perspectives from intended users and, where relevant, affected populations are incorporated into the design and development of the software tool.
- Assess whether the proposal identifies or addresses existing biases in computational models or datasets and provides strategies to prevent, minimize, or assess harms arising from incomplete or unrepresentative data.
Award Administration
Issuance of Award
CIRM issues Awards through a Notice of Award (NOA), which serves as the official contract defining terms, conditions, and funding commitments. Before finalizing the NOA, CIRM reserves the right to modify project activities and budgets, including, when applicable, optimizing Data Sharing and Management Plans (DSMPs) submitted during pre-funding administrative review. After consulting with project teams, CIRM establishes milestones, success criteria, and timelines based on Application information and the DSMP and may consult external advisors when developing Project Milestones. CIRM will also review key agreements critical to project success to ensure compliance with applicable policies and regulations.
Milestones and payment
Upon execution of the Notice of Award (NOA), CIRM will issue an initial payment; subsequent disbursements will be made as outlined in the NOA. Continued CIRM funding is contingent upon timely scientific progress against specific aims or milestones, Data Sharing Management Plan (DSMP) milestones, and timelines established under the NOA. Where project and/or DSMP milestones are not timely met, CIRM reserves the right to either redirect resources to maximize the project outcome or, at its sole discretion, to suspend payment and/or terminate the project. Five percent (5%) of the total Award budget will be withheld pending completion of all remaining milestones and reporting requirements.
Reporting
Awardees will be required to provide periodic written Progress and Financial Reports to CIRM. CIRM will partner with the Awardee to foster the success of the project. Awardees will have ongoing communication with the CIRM Science Officer throughout the duration of the Award, typically meeting by teleconference and periodically in person.
Data sharing and management
The sharing of data and knowledge produced from CIRM-Funded Projects is key to advancing the field of regenerative medicine and accelerating the discovery, validation and development of treatments for patients. CIRM requires Awardees to manage and preserve raw data, processed data, and metadata, and make applicable data and metadata available to the broader scientific community. CIRM also requires Applicants to allocate funds in their proposed budget for personnel and/or activities related to managing and sharing data produced from the funded project. Refer to CIRM Data Sharing and Management for additional information on how Applicants should address data sharing and how the data sharing overview will be evaluated. The requirements described in CIRM Data Sharing and Management are incorporated here by reference.
Deployment, adoption, and sustainability (DAS) plan
To ensure that funded tools are broadly usable beyond research in the Applicant’s lab, CIRM requires Applicants to propose and justify a plan for deploying the software, facilitating adoption by a user base, and long-term maintenance. The DAS plan should outline plans for testing and quality assurance, deployment and release processes, issue tracking, user training and support, performance monitoring, feature updates, and communication of changes to the user community. Sustainability in Data Science and Software Engineering refers to the likelihood that tools are maintainable and have durable relevance to the field of regenerative medicine. Sustainability can be planned for by fostering an active user base that is motivated to contribute and maintain the code, by having clear documentation and guidelines for code maintainers, and by evangelizing the software project to researchers. CIRM recommends taking advantage of existing tools and platforms where available as a starting point for developing new software—tapping into an established community with well-documented standards can speed up development, facilitate extensibility of the tool, and allow developers to engage with an engaged contributor community.
Community and contributor engagement activities
Feedback and contributions from the user community are essential for developing the most appropriate tool and ensuring that it will be used and maintained by other researchers. CIRM requires community engagement activities to solicit feedback on the software tool and inform its development to ensure relevance of the software tool to the field, improve its usability and accessibility, accelerate its development, align with emerging standards, and empower users to become contributors. These activities will be integrated into milestones tied to the DAS plan. These activities should also be designed to position the software project for community maintenance by promoting awareness of the proposed tool and ensuring there is adequate documentation to enable community maintainers. Examples of these activities are hackathons, virtual demo sessions, and user feedback channels. CIRM also requires Applicants to allocate funds in their proposed budget for community and contributor engagement activities.
Open source software best practices and transparent development
To support transparency, broad usability, and long‑term impact of software developed under the INFR9 Data Science and Software Engineering Awards, all projects must adhere to best practices in open source software development, which are further described in the CIRM Transparent Development Requirements (incorporated here by reference). All code must be made publicly available on a platform that allows community members to discover and contribute to the software development process. The software must be licensed under a permissive license that allows for free reuse and redistribution, and licensing information must be easily accessible alongside the code. The repository containing the code should include a README file to introduce the project to the community as well as a code of conduct and contributor guidelines. All code should be accompanied by clear documentation that instructs users in how to install, run, and evaluate the software. The repository should also include sample data which is openly-available and can be used for benchmarking and demonstrating the software.
No-cost extensions
Timely progress on funded projects is of critical importance to CIRM. Therefore, CIRM will consider a one-time, no-cost extension (NCE) request of no more than 6 months, submitted at least 30 days before the Project Period end date. Such requests should properly justify how such an extension will advance the project towards its expected outcome, but Awardees should not assume CIRM will approve a NCE request.
Expert Advisors
Upon approval of an Award, CIRM may appoint Experts to advise on the Award. The appointment of the Expert will be made by CIRM Science Officers. Meetings with CIRM Experts may be convened upon request by the Awardee or when deemed necessary by the CIRM Science Officer. Experts may provide guidance and advice to Awardees and assist CIRM Science Officers in reviewing Progress Reports.
Program Meetings and Conferences
To facilitate knowledge sharing and the formation of collaborative networks, CIRM will fund and co-lead the organization of CIRM-funded conferences. CIRM may invite INFR9 Awardees and trainees to facilitate scientific exchanges across CIRM’s network of programs.
Dates and frequency of CIRM organized meetings or conferences will be determined by CIRM staff and communicated to investigators in advance of the conference start date. Applicants are required to account for costs associated with supporting investigators, staff and trainees to attend CIRM organized meetings or conferences in their budget.
CIRM regulations and policies
Awards made through this Program Announcement will be subject to all applicable CIRM regulations. These regulations can be found on CIRM’s website at CIRM Stem Cell Grant Regulations.
Resources and Contact Information
For more information about this and CIRM’s other funding programs, please visit our Current Funding Opportunities page to access Program Announcements, resources, and FAQs. For programmatic questions that are not addressed in the above resources, send email correspondence to rddi@cirm.ca.gov.
For questions related to Application review, send email correspondence to review@cirm.ca.gov.
For questions related to budgets or allowable project costs, please consult the Grants Management FAQ. For more information on budgets or allowable costs that are not addressed in the above resources, send email correspondence to grantsmanagement@cirm.ca.gov.
Terms used here are defined in CIRM Award Management Policy and CIRM Funding Opportunities: Common Requirements and Definitions.
Open source best practices and repository requirements referenced here are defined in CIRM Transparent Development Requirements.
Recent Document Revisions
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