Ethics, participant safety and data in the WLCE Index

Who reviews the research before it starts, how consent works and how your answers are protected

See how to take part How you are kept safe

Three conditions before a single question is asked

Taking part in the Women’s Life-Cycle Economy Index (WLCE Index) is voluntary: you can skip a question or stop, and the sensitive questions open only with your separate consent.

The questionnaire opens in a country after three conditions: ethics review and permits, a data protection impact assessment and, for the questions about violence, a verified map of help services.

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Ethics review and permits

Before any data is collected, the requirements for ethics review and permits will be defined and met for the protocol and for each country. The main protocol will be reviewed by an ethics committee independent of Womafreesm, such as a partner university’s committee. Fieldwork will also be reviewed in every country where it takes place, with the permits that the country requires. The Index Results Register will show the status of preparation and the decisions received.

Ethical approval comes from outside Womafreesm

The main study protocol will go to an independent ethics committee outside Womafreesm: either a partner university’s committee, acting for Womafreesm under a written agreement, or a recognized independent committee. The committee will be chosen in 2027, before data collection begins.

Fieldwork in each country will also go through that country’s own review, with whatever permit or local partner institution the country requires. The independent committee will be appointed before fieldwork begins, and its appointment will be recorded in the Index Results Register as a separate milestone.

Womafreesm’s own Ethics and Data Protection Board will write the documents and carry out the decisions. Approval rests with the external committee.

Before any answers, the consent text says what stays confidential in her country and when the law requires otherwise: in some countries the law obliges researchers to report certain facts, and the text names those cases.

It also explains what happens if she later decides to leave the research: no one from the research will contact her again, her contact details will be deleted, and a limited administrative record of the withdrawal itself will be kept, with a stated basis and retention period.

Answers that can still be linked to her through the key are removed from the research dataset at her request; the rule for answers already included in verified calculations will be fixed before the pilot. Published combined results cannot be changed: individual answers are not distinguishable in them.

How the people who read her answers are protected

Interviewers, translators, the people who type up recordings, and the people who code and tag answers read the same material as the participant, and it can weigh on them too.

So they will be selected, trained through practice interviews, supported by an experienced supervisor, and given time to talk through hard interviews afterward. If the work becomes too heavy, any of them can step away from it at any time, and that is treated as a normal part of the procedure.

Every one of them will sign an agreement on how they handle the data. Before material passes from one person to the next, names are replaced with codes: that is what pseudonymized means on this page. A woman’s story in her own words is processed only in systems the program controls or has a signed data agreement with. That includes AI tools: the permitted tasks and data for them will be listed in the data agreement, and work with them takes place only inside the secure environment. Public chatbots and other outside services that may keep a copy of what is typed into them are not allowed.

Each data class has its own access rules

ClassWhat it holdsWho can access it
OperationalName, contact details, consent records, permission to contact her again, checks against fake entriesThe operations team only. Always stored apart from her answers
Linkage keyThe only object that connects a person to her answersOne named keeper; two people must act together to use it. The most protected class of all
SensitiveSensitive answers, interview audio recordings and free-text accounts, locked with their own separate keys; before material passes to the next specialist, names, places and other direct pointers to a person are removed from itNamed analysts; each sees only the columns approved for her task and works inside the secure research environment, where local download and outside services without a data agreement are blocked
Pseudonymized research dataAnswers with names, contact details and other direct identifiers removedApproved researchers, inside the secure research environment, after the Data Access Committee approves the request and a data access agreement is signed
Public aggregatesCombined results for countries and regions, checked for the risk of identifying individualsEveryone

The data is divided into five classes by use. Access is determined by the specialist’s role, the approved task and the amount of data needed; additional restrictions apply to sensitive information. The rules are the same for everyone.

Each class will have its own retention period, written down and built into the system. The periods for contact details, the linkage key, answers, audio recordings and service logs are set separately, for one-time participation and for repeat waves; they are among the rules to be settled before data collection, listed below.

Everything that protects the woman stays with Womafreesm: the store of identity details, the consent registry, the keys that link a person to her answers, the sensitive answers, the checks before publication and the secure research environment.

Why only combined results are published

A combined result is one figure for many women at once: for example, the share of women in a country who returned to the same position after parental leave.

One woman’s answers, even without her name, are still a record about a person. That is why the study calls such data pseudonymized rather than anonymous, and why what leaves the study is combined results, with quotations only under her separate consent and after a check of the risk of recognition.

Why a record without a name can still reveal who a woman is.

Picture one answer: country, age 52, midwife, small town, returned to work after caring for her mother. There is no name, but in a small town there is one such woman, and anyone who knows her will recognize her from those details. In a study about violence, menopause and money, that is enough to do harm. The rule below protects against exactly this.

It has happened to others.

In 2016, researchers posted 68,371 profiles from a dating site online, reasoning that since people had filled in the profiles themselves, the data was “already public.” The first version of the dataset held usernames and cities; they were later removed from it because of privacy concerns. In 2018, the Australian privacy regulator found that in a government health dataset released as de-identified, the identification numbers of health providers could be recovered: the encryption could be reversed. Both times the dataset had been judged safe to publish.

That is why only combined results are published, and every figure is checked before publication: could it point to one person? If a group is too small, for example a few women with a rare situation in one region, the figure is merged with a neighboring one or held back. Individual women’s records stay inside the secure research environment.

What will be published openly

Everything needed to check the Index will be open.
One thing stays closed: the answers of individual women.

Methodology and research protocol

How the Index is built and how the study is run, step by step. Published before data collection begins, so it can be criticized before there are results to defend.

Questionnaires

Every question, in every language version. Anyone can see exactly what women were asked and how, and compare the wording across languages.

Codebook

A dictionary for the data: what each column of the table means and what each answer code stands for. Without it, a table of numbers is unreadable, even for a specialist.

Calculation code

The program that turns data into the Index. Open code lets anyone study the algorithm; a full recalculation is possible only with access to the data in the secure research environment, and the practice dataset is used to test the code itself.

Combined results

Figures for countries and regions, each checked beforehand so that it cannot point to one person. This is the only form in which results leave the study.

Practice dataset (synthetic data)

The same columns and similar answers as in the real dataset, but every row is invented and there are no real women in it. It is used to learn to work with the data and to test the code, and it goes through the same disclosure-risk check as the combined results.

Researchers who need individual participants’ data can apply for access to it in the secure research environment.

Access opens after the Data Access Committee approves the request and a data access agreement is signed.

For researchers

FAQ

1. Who reviews the ethics of the study?

The main protocol will be reviewed by an independent ethics committee outside Womafreesm, to be chosen in 2027, before data collection begins; fieldwork in each country will go through national review. Womafreesm’s internal board will prepare the documents and carry out the decisions; approval stays with the external committee.

2. Can I skip a question or leave the sensitive module?

The answer will be published here soon.

3. Will my answers be anonymous?

The answer will be published here soon.

4. Can a donor or the founder see my individual answers?

The answer will be published here soon.

5. Why is participant-level data kept in a secure environment?

The answer will be published here soon.

6. What happens if I withdraw?

The answer will be published here soon.