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Transparency, Reproducibility, and Ethics (TRE) - Demand assessment survey

This voluntary survey aims to understand how evidence producers, consumers, and funders in the international development ecosystem consider transparency, reproducibility, and ethics (TRE) in policy-relevant research design, implementation, dissemination, and use.

Please note, this is an anonymous survey – we will not record your name or email address unless you specifically provide it below for future follow-up. You are free to skip any questions. 3ie will use aggregated summary statistics to inform how to strengthen its focus in specific TRE practices and services.
Q1. What are your concerns related to credibility and use of evidence? (Check all that apply)
Q2. What tools do you use to make your research transparent, reproducible, and ethical? (Check all that apply)
Q3. Would you be interested in any of the following 3ie services related to TRE?
a.    TRE Helpdesk. The primary focus of the TRE Helpdesk is to support stakeholders in the evidence ecosystem on: (i) training on incorporating TRE within the research life cycle; (ii) training in protection of human subjects; (iii) study registration on 3ie’s RIDIE and other relevant registries; (iv) pre-analysis plan (PAP) or protocol templates, review and publication; and (v) adherence to standardized reporting and citation requirements for publications and comparison to pre-specified analysis plans.
b.    TRE Data Center (general). The primary focus of the TRE Data Center is to support stakeholders in the evidence ecosystem on: (i) defining who has access to what data; when and how that data may, or may not, be shared through Data Management Plans and/or Data Sharing Agreements; (ii) establishment of secure data transfer and storage practices; (iii) review and application of data de-identification protocols to mitigate re-identification risk and adhere to promises of confidentiality; (iv) integration of independent push-button replication (PBR) protocols into analysis workflow to improve computational reproducibility; and  (v) data sharing on the 3ie Dataverse, or other data sharing platforms.
c.    TRE Data Center (data de-identification only). Review and application of data de-identification protocols to mitigate re-identification risk and adhere to promises of confidentiality.
d. TRE Data Center (push-button replication only). Integration of independent push-button replication (PBR) protocols into analysis workflow to improve computational reproducibility.
e.    TRE Review. The primary focus of the TRE Review is to support stakeholders in the evidence ecosystem with: (i) strengthening the informed consent review, pilot, and implementation process to ensure appropriate engagement with research participants on key issues related to research purpose, risk, benefits, and data-sharing practices; (ii) assessing and navigating local, journal, funder requirements for Institutional Review Board (IRB) review; (iii) conducting independent review of TRE practices to assess research design, implementation, and dissemination for alignment with ethical principles; and (iv) ensure alignment between promises of confidentiality and the data de-identification and sharing practices.
Q4. Are there any other services or support you are interested in to make research more transparent, reproducible, and ethical?
As noted above, additional information below is optional:
Q5.  What type of role best describes you? (check all that apply)
Q6. What type of institution best describes the institution you work with? (check all that apply)
Q7. What country are you based in?
Q8. Would you like us to contact you regarding any of these services?
Current Progress,
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