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Before joining a research network, obtain its current agreement, access rules, publication policy, dataset addenda and code of conduct, then test your exact project against them. Confirm who can approve the work, where data may be analysed, what can leave the environment, which results must be reviewed, how data and code must be shared, and what authorship, intellectual-property and exit duties continue after the project ends. Membership alone rarely grants unrestricted access or publication rights.
Start with the documents that actually govern your project
Ask the network for the current versions and effective dates of every document that could limit your work. At minimum, request the membership or participation agreement, data-access policy, publication policy, code of conduct, dataset-specific addenda, confidentiality or transfer agreement, security requirements and project-closure rules. Keep a versioned copy; a web page or policy can change while your project is in progress.
Read the documents together. A broad membership agreement may be overridden by a dataset addendum, a project approval letter or a later publication policy. Record which document controls if two provisions conflict and who can interpret an ambiguity. If the institution will sign, send the package to its contracts or research-governance office before accepting an invitation.
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Write a one-page project profile
Describe the question, datasets, samples, metadata, code, linkage variables, collaborators, institutions, funding, commercial involvement, planned outputs and possible follow-on uses. Include whether you will combine the network data with outside records, create a derivative dataset, share software, or invite a new collaborator. This profile lets you compare the proposed use with the agreement’s permitted-purpose language instead of relying on a general description of the network.
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1. Identify exactly what data you may use and for what purpose
Separate membership from project approval
Ask whether joining the network merely makes you eligible to apply or actually authorizes access. Genomics England’s access model illustrates a multi-stage sequence: institutional participation and an Access Agreement, application to a research community, information-governance training, and then a project proposal or participation in an existing project. That sequence means an invitation or membership decision is not the same as approval for a particular analysis.
Match every proposed use to the permission
List each source dataset, sample, identifier, metadata field, model, code repository and derivative product covered by the terms. Then identify the permitted research question and prohibited uses. Check specifically whether the following require a new application, amendment or committee decision:
- secondary analyses outside the approved question;
- linkage to another dataset or re-identification attempts;
- use by a new institution, contractor or commercial partner;
- transfer of derived data, trained models or code containing sensitive information;
- follow-on research after the original project closes; and
- reuse in a new grant, product or clinical application.
NIH’s Data Use Certification framework is a useful model for the questions to ask: a Data Access Request identifies the requested data, planned research use, named collaborators and project scope. A dataset addendum may impose additional use limits and identify the responsible Data Access Committee. Treat those details as project-specific rather than as a universal NIH rule for every network.
Clarify the approval record
Obtain the written approval, not just an email saying that access is available. It should identify the dataset version, approved users, project dates, permitted purpose, restrictions, approving body and amendment process. Ask whether a change in methods, personnel or output requires prior approval and how long an amendment normally takes.
2. Map access, analysis and export controls
Access restrictions can concern identity, location, technology and outputs. For each control, record the decision-maker, evidence required, expected timing and appeal or remediation route.
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| Control area | Questions to answer before joining | Why it matters |
|---|---|---|
| Approved users | Who may log in? Must collaborators belong to the same institution or an approved organization? Are contractors or students covered? | An unapproved collaborator can breach the agreement even when the analysis itself is allowed. |
| Analysis environment | Must work occur in a secure research environment, virtual desktop or other controlled facility? Are local copies, removable media and screenshots prohibited? | The environment may be part of the permission, not merely a security recommendation. |
| Downloads and exports | Can row-level data, aggregates, models, code or figures leave the environment? Who checks them and against which criteria? | Export limits can affect reproducibility, collaboration and publication schedules. |
| Project registration | Must a project be registered and approved before analysis begins? Does an existing project have capacity for your role? | Starting analysis early can create an unauthorized-use problem. |
| Monitoring and suspension | Are accounts logged or audited? Who can pause access or halt an export, and what correction process exists? | Continuing obligations may apply even after a single approved export. |
Genomics England’s Code of Conduct provides a concrete example: projects must be registered and approved before analysis, work is performed in a Research Environment, and exports go through an Airlock review. The organization may halt an export when agreement or conduct requirements are not met. Those controls demonstrate what to inspect; they are not a standard that every network follows.
Distinguish technical safeguards from substantive restrictions
Ask whether review is limited to confidentiality and disclosure risk or can also delay, edit or reject scientific interpretation. A controlled environment is a technical safeguard. A ban on a research question, onward transfer or public discussion is a substantive restriction. The agreement should state the scope of each and the remedy if a reviewer disagrees.
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Define what must be shared
Determine whether the network expects release of underlying data, metadata, analysis code, materials, protocols, derived data or only aggregate results. Ask where each item must be deposited, under which licence or access condition, and who pays for curation or repository fees. Network-sharing recommendations state that data and materials needed to reproduce published results should generally be shared with the publication.
Document why open release may be limited
Restrictions can be legitimate when they prevent harm, comply with law or regulation, protect privacy or confidentiality, or honour a third party’s terms. Ask whether a controlled-access repository, data-use committee or documented request route can provide access without open release. The restriction should be narrow, explained in writing and reviewed periodically rather than treated as a blanket ban on all reuse.
“Data must be made available with as few restrictions as possible, to maximise the value of the data, improve research reproducibility and for patient and public benefit.”
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UK Research and Innovation Medical Research Council, MRC data sharing policy
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The MRC policy also expects appropriate governance for personal or confidential data, an appropriate data-sharing agreement and a data-access statement in publications that tells readers how to obtain the underlying data while complying with applicable open-access policy.
Calendar the release deadline
Some programmes tie sharing to publication or the end of a funded period. NIH policy guidance, for the scope it describes, says shared scientific data should be accessible as soon as possible and no later than the associated publication or the end of the performance period, whichever comes first. That timing does not override consent, law, a dataset’s access conditions or a more specific network agreement. Put the applicable date and any allowed embargo in the project calendar.
4. Read publication and contribution rules before doing the work
Find every pre-publication step
Look for manuscript, abstract, poster, thesis, conference, press-release and public-presentation provisions. Record the notification channel, required files, confidentiality review, response time, embargo, media rules and the consequence of missing a deadline. Ask whether the review is advisory or an approval condition, and whether the network may request factual corrections only or broader changes.
Genomics England’s July 2025 Code of Conduct requires manuscripts and other communications that involve or reference NGRL data to be submitted for review at least 10 working days before external peer review or public presentation. It also requires compliance with that programme’s Publication Policy. This is an example-specific lead time, not a universal research-network deadline.
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Separate confidentiality review from scientific veto
Ask for objective review criteria. A process designed to remove personal information or check contractual confidentiality is different from one that can suppress an unfavourable result. If the agreement permits a delay, it should state its maximum duration and purpose. Also ask what happens when the reviewer does not respond within the stated period.
Set authorship, contributor and acknowledgement terms early
Do not assume that access creates authorship or that a consortium requires every member to be a co-author. Obtain the applicable authorship standard and decide how substantial contributions, data curation, governance, methods, clinical care and supervision will be credited. The ERN-RND policy gives one example of requiring publication-agreement information in an application and naming involved healthcare professionals in a contributor list.
Check mandatory acknowledgements and dataset citations. NIH’s Data Use Certification agreement calls for acknowledgement of submitting investigators, funders, the NIH-designated repository and the dataset accession and version in resulting presentations and publications. Record the exact wording, accession identifiers and contributor list in your manuscript plan.
5. Map governance, accountability and continuing duties
Identify every institutional sign-off
Ask which office must approve the arrangement: research ethics, privacy, information security, contracts, technology transfer, biosafety or clinical governance. Confirm who signs for the institution and who is accountable for staff, students and external collaborators. NIH agreements place institutional responsibility on the signatory for approved users; MRC policy expects ethical, legal and institutional governance throughout the research lifecycle.
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- required information-governance or security training;
- identity verification, account monitoring and annual attestations;
- incident reporting deadlines and the contact for suspected misuse;
- project renewal, inactivity limits and changes to approved personnel;
- retention, secure deletion and destruction certificates; and
- continuing confidentiality after access ends.
The Genomics England example includes information-governance training and ongoing project-activity requirements for maintaining membership and access. Verify the current programme documents rather than importing those requirements into another network.
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6. Resolve exclusivity, intellectual property and follow-on rights
Test any exclusive-use period
Ask whether the network or a primary team receives an exclusive period, exactly which data and uses it covers, when it starts and ends, and what objective justifies it. The MRC policy recognises that a limited, defined period can allow a primary team to realise benefits such as publications and patents, but planned exclusivity should be stated and justified. An undefined or indefinite embargo is a material negotiation issue.
Define ownership and permitted follow-on work
Clarify who owns pre-existing tools, new code, inventions, datasets, trained models and other results. Ask whether consortium-generated intellectual property is jointly owned, licensed or assigned, and whether follow-on research or commercialisation needs a new approval. NIH and NCATS consortium guidance recommends written data-stewardship terms, agreements that reflect different user categories, appropriate intellectual-property provisions for consortium-generated rights and follow-on activity, and a conflict-management solution.
Plan for departure and closure
Get a written answer for what happens when a researcher leaves, a project closes or access is revoked. Cover return or deletion of source and derivative data, continued confidentiality, retention of analysis code and aggregate results, pending manuscripts, acknowledgement duties and any surviving licence or audit rights. General policy principles do not create one universal exit rule; the signed agreement and the institution’s interpretation control.
How to compare two networks for the same project
Use the same project profile and score each network on identical questions. A controlled genomic resource and a general repository may both support valuable research while imposing very different obligations.
| Comparison axis | Controlled-access genomic example | General repository or policy emphasis |
|---|---|---|
| Research scope | Project-specific purpose, approved users and dataset limits. | Broader access may be available, subject to stated eligibility and lawful use. |
| Approval authority | Institution, project reviewers and a data-access or export-review function may all be involved. | A repository access committee or standard request process may be the main gate. |
| Analysis and export | Controlled Research Environment and Airlock-style output review can restrict downloads. | Access conditions may focus on repository terms, licence and disclosure safeguards. |
| Publication | Advance submission, confidentiality checks and programme publication rules can affect timing. | Policies may emphasise citation, access statements and reproducibility without a network-specific review queue. |
| Attribution | Named investigators, funders, repository and accession/version may be mandatory. | Standard citation, contributor and data-access statements may apply. |
| Closure and renewal | Training, activity, renewal, monitoring and deletion requirements may continue throughout the project. | Retention and takedown duties depend on the repository and governing agreement. |
The examples in this table illustrate different governance designs, not a ranking. A network that offers easier access may impose stricter publication or sharing terms elsewhere in its agreement.
Red flags that require clarification before signing
- The network cannot provide a dated agreement or dataset addendum.
- “Approved use” is undefined, or the network can expand it unilaterally.
- No one can identify who approves users, projects or exports.
- Publication review has no response deadline, objective criteria or remedy.
- An embargo or exclusive-use period has no end date or justification.
- Authorship, acknowledgement and dataset citation requirements are left to later negotiation.
- The terms permit broad onward transfer while the consent or law appears narrower.
- Termination requires deletion but does not explain treatment of code, models, aggregates or manuscripts.
- The institution’s obligations, incident process and responsibility for collaborators are unclear.
Pre-join checklist
- Obtain the current agreement, access policy, publication policy, code of conduct, dataset addenda and transfer or confidentiality terms; record each version and date.
- Map your question, methods, datasets, linkage plans, collaborators, institutions and future uses to the permitted-use language.
- List institutional, ethics, privacy, security, contracts and technology-transfer approvals and identify each signatory.
- Confirm approved-user categories, analysis location, download rules, export review, review criteria and expected timing.
- Write down what data, code, materials and derivatives must be shared, where, under what licence or access route and by what date.
- Calendar manuscript, abstract, presentation, press and media notifications, including any working-day lead time.
- Record authorship, contributor, acknowledgement, citation and accession/version requirements before analysis starts.
- Resolve exclusivity, intellectual property, follow-on research, commercial use and dispute procedures in writing.
- Ask about training, monitoring, incident reporting, renewal, retention, deletion, revocation and post-project confidentiality.
- Escalate ambiguous or conflicting language to the network and the institution’s contracts, governance, privacy, security or technology-transfer office before accepting.
Make the decision explicit
Prepare a short decision record stating the approved purpose, data and users; each restriction; the person or committee responsible for approvals; publication and sharing dates; unresolved risks; and the office that accepted them. Join only when the institution can comply operationally and the project team can meet the calendar without relying on an informal exception. Recheck the documents when the dataset version, personnel, methods, funding or publication plan changes.
The governing contract and applicable law ultimately determine what you may do. Network examples show what to inspect, but their deadlines and controls apply only to their stated programmes. Confirm the latest terms with the network and the institution that would sign before beginning analysis or promising a public result.
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