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Research ethics make up the first pillar of the DIME Research Standards compiled by DIME Analytics. Impact evaluations often directly involve human subjects, and the research team often collects sensitive or personal identifiable information (PII). There are several ethical concerns related to handling personal data, and publishing results from a field study. The research team must ensure complete confidentiality of respondents, and ensure that respondents are providing informed consent, which they can withdraw at any time.

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Before Data Collection

Before the research team begins primary data collection, it is important to draft ethical standards that must be followed throughout the research study. The research team must follow the guidelines listed below to ensure ethical research:

  • Pre-analysis plan. The research team must draft a detailed pre-analysis plan before starting the process of data collection. An ideal pre-analysis plan should discuss the following principles of study design in as much detail as possible:
    • Sample and level of randomization. The research team must decide on the process of sampling, as well as the level of randomization. For example, the research team might decide to perform and the main sources of data, including administrative data .
    • Key outcomes and primary hypothesis. The research team should also lay out their primary hypothesis, that is, the main question they want to answer using the study. This is often referred to as theory of change. They must also clearly lay out the outcomes they wish to measure, and what indicators or variables they will use to measure outcomes.

Any research that involves economic intervention or data collection on specific individuals is almost certainly subject to human subjects ethics rules, including pre-approval by an institutional review board, as well as a human subjects education certificate from the NIH or other body for each researcher or assistant handling implementation or data.

In practice, ethics rules may or may not require informed consent from individual research participants, depending on the design and purpose of the study. For example, an IRB may grant approval to collect administrative data or health care provider data for public health reasons, given written consent from the appropriate government ministry or office. Similarly, when the information to be collected is not especially sensitive and affirmative consent might endanger the feasibility of the study, individualized consent may be possible to waive.

During Data Collection

Whether or not individualized informed consent is required, research that involves the collection of sensitive information – including but not limited to names, addresses, mobile phone numbers, bank or credit accounts, or location information – should be handled from collection to publication in a way that ensures the privacy of research participants. This means using appropriately secure electronic methods to collect and store data, appropriate data encryption on devices like laptops or hard drives, and anonymization of data before any public release.

After Data Collection

Once common concern in research is the possibility of manipulating results. Political factors, publication bias and other circumstances may pressure researchers to target findings, for example through P-hacking and selective reporting. To avoid this concern, researchers often choose to develop pre-analysis plans and pre-register studies. Sharing data and codes improves research reproducibility.

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