Privacy

Privacy Policy

Effective Date: January 1, 2026

Research Shield™ ("we", "us", "our") respects your privacy. This Privacy Policy explains what data we collect, how we use it, and what rights you have.

1. Who We Are

Research Shield™ is a data quality assurance system for market research. We help research companies verify the authenticity of survey responses.

Data Controller:
TGM Research Pte. Ltd.
6001 Beach Road, #22-01 Golden Mile Tower
Singapore 199589
privacy@researchshield.com

Data Protection Officer:
Marcin Kaleta
privacy@tgmpanel.com
Postal correspondence: use the address above with notation "Data Protection Officer"

EU Representative (Art. 27 GDPR):
TGM Research Europe
[Address in EU Member State]
eu-representative@researchshield.com

UK Representative (UK GDPR Art. 27):
TGM Research UK
[Address in United Kingdom]
uk-representative@researchshield.com

Supervisory Authority Jurisdiction

TGM Research Pte. Ltd. is incorporated in Singapore and has no main establishment in the EU/EEA. This means:

  • The GDPR "one-stop-shop" mechanism (Art. 56) does not apply to TGM Research
  • Any EU/EEA supervisory authority may exercise jurisdiction over our processing of data subjects in their Member State
  • Our EU Representative serves as the contact point for supervisory authorities
  • For Singapore-related matters: Personal Data Protection Commission (PDPC)

Language Availability

This Privacy Policy is available in English and Polish. If you need this policy in another language:

  • Contact us at privacy@researchshield.com to request a translation
  • Use your browser's built-in translation feature
  • Machine translations are provided for reference only; the English version is the authoritative legal text

We are working to provide this policy in additional languages. If the survey you participated in was in a language not listed here, please contact us.

2. What Data We Collect

2.1 Technical Data

  • IP address and approximate geographic location
  • Browser and device type
  • Operating system
  • Screen resolution
  • Time zone
  • Device identifier (fingerprint)

2.2 Behavioral Data

For fraud detection purposes, we collect and analyze:

  • Mouse movements, clicks, and scrolling — cursor trajectory across the page, click locations and timing, scroll speed and direction
  • Typing rhythm and keystroke dynamics — the speed, rhythm, pauses, and timing between individual keystrokes
  • Time spent on each question — how long you spend reading and answering each survey question
  • Navigation patterns within the survey — how you move between questions, form fields, and pages
  • Browser window focus and tab switching — when you switch away from the survey tab, minimize the window, or lose focus

This data is used to create a fraud risk score through automated analysis (profiling). See Section 7 for details on profiling and automated decision-making, including your rights.

2.3 Survey Data

  • Responses provided in the survey
  • Session identifier

We do not collect: names, email addresses, or other directly identifying information unless they are part of the survey commissioned by the client.

⚠️ Important Notice for Open-Link and Social Media Respondents

If you accessed this survey via a public link, social media advertisement, or direct recruitment (not through a research panel you previously joined):

We analyze your behavior during the survey to detect fraud. This includes:

  • Mouse movements and clicks — how you move your cursor across the page
  • Typing patterns — the rhythm and timing of your keystrokes
  • Response timing — how long you spend on each question
  • Device fingerprinting — technical characteristics of your browser and device
  • Navigation behavior — how you interact with form elements

Why we do this: To distinguish genuine human respondents from bots and fraudsters. This protects the integrity of research data.

Your choice:

  • If you accept behavioral analysis, you may proceed with the survey
  • If you do not accept, please close this page — participation requires acceptance of fraud detection
  • After completing the survey, you may object to data retention by contacting privacy@researchshield.com

Legal basis: Legitimate interest in fraud prevention (GDPR Art. 6.1.f, Recital 47). See Section 7 for your rights including the right to object.

3. Why We Process Data

Purpose Legal Basis (GDPR)
Fraud and bot detection Legitimate interest (Art. 6.1.f)
Ensuring research data quality Legitimate interest (Art. 6.1.f)
Delivering the survey for the client Contract performance (Art. 6.1.b)
Duplicate participation detection Legitimate interest (Art. 6.1.f)
Machine learning model training — improving fraud detection accuracy using anonymized behavioral patterns Legitimate interest (Art. 6.1.f)
Service performance monitoring Legitimate interest (Art. 6.1.f)

Legitimate Interest Assessment

We have conducted a formal Legitimate Interest Assessment (LIA) for behavioral data processing. Our assessment concluded:

  • Purpose: Protecting the integrity of market research data by detecting fraudulent, bot-generated, or low-quality responses
  • Necessity: Behavioral analysis is necessary because traditional methods (CAPTCHA, IP blocking) are insufficient against sophisticated fraud
  • Balancing: We acknowledge that behavioral biometrics processing is privacy-intrusive. We mitigate this through data minimization (90-day raw data retention), pseudonymization, no cross-purpose use, and transparency
  • Your right to object: You may object to this processing at any time (see Section 7.5)

A summary of our LIA is available upon request by contacting privacy@researchshield.com.

Processing Operations Chain: Legal Basis per Operation

Our fraud detection involves multiple sequential processing operations. The entire fraud detection chain is based on our legitimate interest in fraud prevention (Art. 6(1)(f), Recital 47). Below is the complete chain as required by EDPB Guidelines 2/2019:

Step Processing Operation Data Used Legal Basis (GDPR)
1. Collection Gathering behavioral signals (typing patterns, mouse movements, device characteristics) and technical data (IP address, browser fingerprint) Behavioral data, technical data (Section 2) Legitimate interest (Art. 6(1)(f)) — fraud prevention is a recognized legitimate interest (Recital 47)
2. Analysis & Scoring Processing behavioral signals through fraud detection algorithms to generate a fraud risk score Collected behavioral and technical data Legitimate interest (Art. 6(1)(f)) — necessary for the fraud prevention purpose
3. Automated Decision Comparing fraud risk score against quality threshold configured by the research client; responses below threshold are automatically disqualified Fraud risk score Legitimate interest (Art. 6(1)(f)) — fraud detection serves the legitimate interest of TGM and research clients in data integrity. Art. 22 GDPR applies — see Section 7
4. Consequence Disqualified responses may result in denial of survey compensation and exclusion from the research dataset Decision outcome Flows from Step 3 — legitimate interest (Art. 6(1)(f))
5. Retention Retaining fraud scores, device fingerprints, and derived indicators for longitudinal fraud detection (see Section 5 for retention periods) Derived scores, device fingerprints Legitimate interest (Art. 6(1)(f)) — continued fraud prevention across survey waves
6. ML Model Training Using anonymized behavioral patterns to improve fraud detection accuracy Anonymized behavioral patterns Legitimate interest (Art. 6(1)(f)) — improving detection accuracy benefits all respondents

Why legitimate interest for the entire chain

All fraud detection processing (Steps 1–6) is based on legitimate interest (Art. 6(1)(f)). We do not rely on contract performance (Art. 6(1)(b)) for fraud detection, because fraud detection serves TGM and its research clients — not the respondent directly — and EDPB Guidelines 2/2019 require that Art. 6(1)(b) reflect objective necessity from the data subject's perspective. Fraud prevention is explicitly recognized as a legitimate interest in GDPR Recital 47. You may object to this processing under Art. 21 (see Section 7.5).

Step 3 triggers Art. 22 GDPR (automated decision-making that significantly affects you). This automated decision is permitted based on your explicit consent (Art. 22(2)(c)), which is obtained before survey participation begins. See Section 7 for full details, including your right to withdraw consent and request human review.

Survey response data (your answers to survey questions) follows a separate processing path: it is processed under contract performance (Art. 6(1)(b)) on behalf of the research client who commissioned the survey and is not part of the fraud detection chain above.

4. Who We Share Data With

4.1 Research Clients

Survey responses and data quality information are shared with the company commissioning the research.

4.2 Sub-Processors and Their Roles

We use the following technical service providers to deliver our fraud detection service. For each, we disclose what data is shared, how they process it, and their legal role under GDPR.

Amazon Web Services (AWS)

Data sharedAll data collected by Research Shield™
PurposeCloud hosting and data storage
LocationEU (Frankfurt, eu-central-1)
RoleProcessor — processes data only on our instructions
Cross-client data poolingNo — data isolated per customer
DPA in placeYes (AWS Data Processing Addendum)

FingerprintJS, Inc.

Data sharedDevice signals: browser type, OS, screen resolution, installed fonts, WebGL renderer, audio context, canvas fingerprint, timezone
PurposeGenerate device identifier (fingerprint) for duplicate detection
LocationUSA
RoleJoint Controller (Art. 26) — FingerprintJS uses aggregated, anonymized data to improve their identification algorithms
Cross-client data poolingYes — anonymized signals contribute to their global identification model
DPA in placeYes + Joint Controller Arrangement (Art. 26)
Their privacy policyfingerprint.com/privacy

Art. 26 Arrangement Summary: FingerprintJS acts as joint controller for the purpose of improving their device identification technology. We remain responsible for collecting device signals and for decisions about individual fraud assessments. FingerprintJS is responsible for the aggregated model improvement. You may exercise your rights with either party.

IPQualityScore (IPQS)

Data sharedIP address (hashed where possible), user agent string
PurposeQuery fraud reputation database, detect VPN/proxy/bot usage
LocationUSA
RoleJoint Controller (Art. 26) — IPQS maintains a fraud reputation database enriched by queries from all customers
Cross-client data poolingYes — IP reputation scores are derived from cross-client fraud signals
DPA in placeYes + Joint Controller Arrangement (Art. 26)
Their privacy policyipqualityscore.com/privacy-policy

Art. 26 Arrangement Summary: IPQS acts as joint controller for maintaining their fraud reputation database. We query their database with IP addresses; they use this data (alongside queries from other customers) to improve fraud detection accuracy across their network. We remain responsible for how we use IPQS scores in our fraud assessments. You may exercise your rights with either party.

Sentry (Functional Software, Inc.)

Data sharedError logs, stack traces, minimal session context (PII scrubbed before transmission)
PurposeApplication error monitoring and debugging
LocationUSA
RoleProcessor — processes data only on our instructions for error monitoring
Cross-client data poolingNo — error data not shared across customers
DPA in placeYes (Sentry Data Processing Addendum)
Their privacy policysentry.io/privacy

4.3 International Data Transfers

Some personal data is transferred to countries outside the European Economic Area (EEA), particularly the United States. We ensure appropriate safeguards for such transfers:

Recipient Country Primary Safeguard Fallback Safeguard TIA Conducted
FingerprintJS, Inc. USA EU-US Data Privacy Framework SCCs (2021/914) Yes
IPQS (IPQualityScore) USA SCCs (2021/914) Yes
Sentry (Functional Software) USA EU-US Data Privacy Framework SCCs (2021/914) Yes

Transfer Impact Assessments (TIA)

In accordance with the Schrems II ruling (C-311/18), we have conducted Transfer Impact Assessments for each US recipient. These assessments evaluate:

  • The legal framework in the recipient country
  • The nature of data transferred (pseudonymized technical/behavioral data)
  • Likelihood of access by public authorities
  • Effectiveness of supplementary measures

TIA Conclusion: Given the technical nature of data (device fingerprints, behavioral patterns), pseudonymization, encryption, and the limited personal identifiability, the risk of harm from potential government access is assessed as low. Supplementary measures provide effective protection.

Supplementary Measures

Standard Contractual Clauses (SCCs) are legal contracts approved by the European Commission (Decision 2021/914) that bind data recipients to protect personal data to EU standards. We implement the following supplementary measures for all US transfers:

  • Technical: Encryption of data in transit (TLS 1.3) and at rest (AES-256)
  • Technical: Pseudonymization of personal identifiers before transfer
  • Organizational: Access controls and audit logging
  • Organizational: Data Processing Agreements (DPAs) with all sub-processors
  • Contractual: Notification obligations if recipient receives government access requests

Adequacy Decision Contingency

If the EU-US Data Privacy Framework adequacy decision is invalidated (as occurred with Safe Harbor and Privacy Shield), we will rely on Standard Contractual Clauses as the transfer mechanism. SCCs are already in place with all US recipients as a fallback safeguard. We monitor regulatory developments and will implement additional measures as required.

You may request a copy of the relevant SCCs or TIA summaries by contacting privacy@researchshield.com.

4.4 No Advertising or Marketing Use

We do not use your data for advertising, marketing profiling, or any purpose unrelated to fraud detection. Specifically:

  • We do not sell your personal data
  • We do not share data with advertising networks
  • We do not create marketing profiles
  • We do not use data for targeted advertising
  • We do not share data with social media platforms for advertising

4.5 Other Disclosures

We may disclose data when required by law, court order, or law enforcement authorities.

5. How Long We Keep Data

We apply tiered retention periods based on the data minimization principle. Each category is retained only as long as necessary for its specific purpose:

5.1 Fraud Detection Data (Research Shield™)

Data Category Retention Period Justification
Raw behavioral data (typing patterns, mouse movements) 90 days Session fraud scoring and ML model training; derived scores retained instead
IP addresses 6 months Short-term duplicate detection; longer retention unnecessary
Device fingerprints 24 months Required for longitudinal device reuse detection across survey waves
Fraud scores and flags 24 months Required for recurring fraud pattern analysis across clients
Session metadata (timing, navigation) 12 months Quality assurance and system performance analysis
Aggregated statistics Indefinitely Anonymized; no personal data

After each retention period, data is automatically deleted or irreversibly anonymized. Raw behavioral data is converted to derived fraud indicators before deletion.

Implementation Status

Current state (as of January 2026): Tiered retention periods are enforced through scheduled batch processes with manual oversight. Target state (Q2 2026): Fully automated TTL-based deletion at the database level, ensuring data is deleted immediately upon expiration. Until automated TTL is implemented, retention periods may exceed stated limits by up to 30 days due to batch processing schedules. We are committed to meeting the stated retention periods and are implementing technical improvements to enforce them more precisely.

5.2 Survey Response Data

Your survey responses are controlled by the research client who commissioned the survey, not by Research Shield™. Retention of survey response data is determined by the research client's data retention policy.

  • Typical retention: Research clients typically retain survey response data for 12-36 months depending on the research project
  • Who to contact: For questions about survey response data retention, contact the organization that invited you to participate in the survey, or the panel provider if you are a panel member
  • Research Shield™ role: We only process survey responses transiently to deliver them to the research client; we do not retain survey response content after delivery

6. Your Rights

Under GDPR, you have the following rights:

  • Access - you can obtain information about processed data
  • Rectification - you can correct inaccurate data
  • Erasure - you can request deletion of data ("right to be forgotten")
  • Restriction - you can request limitation of data processing
  • Portability - you can receive data in a machine-readable format
  • Objection - you can object to processing based on legitimate interest

Granular Objection Rights

You may object to specific aspects of our processing. After survey completion, you can object to:

  • Continued retention of your data — we will delete your data upon valid objection
  • Cross-session use of device fingerprints — we will remove your device from our duplicate detection database
  • ML training use — we will exclude your data from machine learning model improvement

Such objections will be assessed individually and can be honored without affecting your past survey participation. See Section 7.4 for the full objection process.

How to Exercise Your Rights

You can exercise your rights in two ways:

We will respond within 30 days.

How We Identify You (Verification Process)

Research Shield™ does not collect names or email addresses unless they are part of the survey itself. This means we cannot directly identify you from your name alone. To exercise your data protection rights, we need information that helps us locate your data in our systems.

What information helps us find your data:

Information Where to find it How it helps
Session ID Survey completion page, confirmation email from panel Direct lookup — fastest verification
Panel member ID Your panel provider account We can trace sessions linked to your panel ID
Approximate date/time Your memory, browser history Narrows the search window
Survey topic Your memory Helps identify the specific project
Device type What you used (phone, laptop, browser) Matches against device fingerprints
IP address Your ISP or network settings Direct lookup if within retention period

If you participated via a research panel:

The easiest path is to contact your panel provider first. They have your account information and can:

  1. Identify which surveys you completed that used Research Shield™
  2. Provide you with session IDs for those surveys
  3. Forward your data rights request to us on your behalf

If you participated via an open link (social media, advertisement):

Contact us directly at privacy@researchshield.com with as much of the following as you can provide:

  • Approximate date and time of participation
  • Survey topic or subject matter
  • How you found the survey (which platform, ad, link)
  • Device and browser you used
  • Your approximate location at the time

We will make reasonable efforts to locate your data based on this information. If we cannot identify your data with reasonable certainty, we will explain why and suggest additional information that might help.

GDPR Art. 11 Notice

Under GDPR Art. 11, if we are unable to identify you, we are not required to maintain, acquire, or process additional information solely to identify you. However, if you provide information that enables identification, we will process your request fully.

Complaint to Supervisory Authority

You have the right to lodge a complaint with a supervisory authority, particularly in the EU/EEA Member State of your habitual residence, place of work, or place of the alleged infringement.

Lead Supervisory Authority

As TGM Research Pte. Ltd. is established in Singapore, there is no "lead supervisory authority" under the GDPR one-stop-shop mechanism. However:

  • Singapore: Personal Data Protection Commission (PDPC) — pdpc.gov.sg

EU/EEA Supervisory Authorities

EU/EEA residents may contact their local data protection authority:

  • Poland: Urząd Ochrony Danych Osobowych (UODO) — uodo.gov.pl
  • Germany: Die Bundesbeauftragte für den Datenschutz und die Informationsfreiheit (BfDI) — bfdi.bund.de
  • France: Commission Nationale de l'Informatique et des Libertés (CNIL) — cnil.fr
  • Other EU/EEA: Find your authority at edpb.europa.eu/members

UK Supervisory Authority

  • United Kingdom: Information Commissioner's Office (ICO) — ico.org.uk

7. Fraud Detection, Profiling, and Automated Decision-Making

7.1 How Fraud Detection Works

Our fraud detection involves a chain of processing operations (see the Processing Operations Chain in Section 3 for the full mapping). All fraud detection processing is based on our legitimate interest (Art. 6(1)(f)) in preventing fraud. In summary:

  1. We collect behavioral signals (typing patterns, mouse movements, device fingerprint) during your survey session
  2. We analyze those signals through fraud detection algorithms to generate a fraud risk score
  3. We make an automated decision: if your fraud risk score falls below the quality threshold configured by the research client, your response is automatically disqualified — Art. 22 GDPR applies at this step
  4. Consequence: disqualification may result in denial of survey compensation and exclusion of your response from the research dataset

The legal basis for all steps above is legitimate interest in fraud prevention (Art. 6(1)(f), Recital 47). We do not rely on contract performance (Art. 6(1)(b)) for fraud detection — see the explanation in Section 3.

7.2 Profiling and Automated Decision-Making (GDPR Art. 4(4) and Art. 22)

Profiling (Art. 4(4))

Our fraud detection processing constitutes profiling within the meaning of GDPR Art. 4(4). We use automated processing of your personal data — specifically, your behavioral patterns (typing rhythm, mouse movements, response timing) and device characteristics — to evaluate aspects relating to you, namely the likelihood that your survey response is fraudulent. This evaluation produces a fraud risk score that is used to make decisions about your response.

Automated Decision-Making (Art. 22(1))

You have the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning you or similarly significantly affects you (Art. 22(1)).

Step 3 of our processing chain constitutes automated decision-making, including profiling, under Art. 22(1). The system automatically evaluates responses based on quality criteria configured by the research client. Responses below the configured threshold are disqualified, which affects your survey compensation. This is a decision based solely on automated processing, including profiling, that "similarly significantly affects" you within the meaning of Art. 22(1).

Exception Applied: Explicit Consent (Art. 22(2)(c))

This automated decision is permitted based on your explicit consent:

  • Before you begin the survey, you are informed that automated fraud detection will be used and that responses below the quality threshold will be automatically disqualified
  • You are asked to provide explicit consent to this automated decision-making before proceeding
  • If you do not consent, you may choose not to participate in the survey

Why explicit consent and not contract performance?

EDPB Guidelines 2/2019 require that Art. 6(1)(b) (and by extension Art. 22(2)(a)) reflect objective necessity from the data subject's perspective. Fraud detection serves TGM and its research clients — it protects data integrity for the benefit of the research industry. While this is a legitimate and important purpose, it is not objectively necessary for the respondent's core contract (answering questions and receiving compensation). We therefore rely on explicit consent (Art. 22(2)(c)) as the more transparent and appropriate basis for the automated decision layer.

Your consent rights

  • Withdrawal: You may withdraw your consent to automated decision-making at any time by contacting privacy@researchshield.com. If you withdraw consent after completing a survey, you may request human review of any automated decision made about your response
  • No penalty: Withdrawing consent does not affect the lawfulness of processing carried out before withdrawal
  • Alternative: If you do not consent to automated decision-making, you may choose not to participate. We acknowledge this limits your choice; however, the nature of real-time survey fraud detection makes a non-automated alternative impractical during the survey session itself

Note: The collection and analysis steps (Steps 1–2) are not themselves automated decisions under Art. 22 — they are preparatory processing under legitimate interest (Art. 6(1)(f)). Your consent under Art. 22(2)(c) is specifically for the automated decision (Step 3) and its consequences (Step 4).

7.3 Your Rights Under Art. 22(3) — Safeguards

Regardless of the legal basis for the automated decision, you have the following safeguards. These rights are enforceable and are implemented through a concrete process described below.

Your rights:

  • Obtain reasons for disqualification: If your response was disqualified, you have the right to know the specific fraud signals that triggered the decision, the categories of data involved, and the score assigned to your response
  • Request human review: Request that a qualified human reviewer — not the automated system — re-evaluates the decision about your response
  • Express your point of view: Provide additional context or explanation that the automated system may not have considered
  • Contest the decision: Challenge the disqualification and receive a reasoned response explaining the outcome

How the process works:

  1. Contact us directly at privacy@researchshield.com — you do not need to go through the research client or panel provider
  2. Within 7 days: We acknowledge your request and provide a reference number
  3. Within 21 days: A human reviewer re-evaluates your response, considering the automated signals, any context you provide, and whether alternative legitimate explanations exist
  4. Within 30 days: We notify you of the outcome with a reasoned explanation

If the decision is overturned:

If human review determines that your response was incorrectly disqualified, we will reinstate your response (where possible), notify the research client, and use reasonable efforts to ensure any compensation you were entitled to is restored. We will also review the automated system's parameters to prevent similar false positives.

During the review period:

Your data is retained to enable the review. The original disqualification remains in effect until the review is completed. If overturned, compensation is addressed retroactively.

Full details of the human review process and remedy are set out in our Terms of Use, Sections 5.7–5.8.

7.4 Additional Safeguards

  • Transparency: We disclose the existence and logic of automated processing in this policy
  • No sensitive data: We do not use special category data (Art. 9) in fraud analysis
  • Accuracy obligation: Our system is regularly tested and calibrated to minimize false positives
  • Human review available: You may request human review of any automated decision at any time, whether or not you consented to automated processing

7.5 Right to Object (Art. 21)

Under GDPR Art. 21, you have the right to object to processing based on legitimate interest. We assess each objection on a case-by-case basis, considering your specific situation and grounds for objection.

Types of Objection We Distinguish:

Objection Type Can It Be Honored? Explanation
Real-time fraud analysis (during survey participation) Limited If you object to real-time behavioral analysis, you may still participate, but we cannot guarantee acceptance of your response. As a practical consequence, objection to real-time analysis may mean choosing not to participate.
Post-session data retention Yes You can object to continued retention of your data after your session has been scored. We will delete your data upon valid objection, subject to any legal retention obligations.
Cross-session profiling (device fingerprint retention for duplicate detection) Yes You can object to retention of device fingerprints used to detect repeat participation. We will delete this data upon valid objection.
Use for ML model training Yes You can object to your behavioral data being used for machine learning model improvement. We will exclude your data from training datasets.

How to Object

Send your objection to privacy@researchshield.com with:

  • A description of which processing you object to
  • Your grounds for objection (your particular situation)
  • Any identifiers that help us locate your data (session ID, date of participation)

Our Assessment Process

We will:

  1. Acknowledge your objection within 7 days
  2. Assess your specific grounds against our legitimate interests
  3. Provide a reasoned response within 30 days
  4. If we reject your objection, explain our compelling grounds
  5. Inform you of your right to complain to a supervisory authority

7.6 Relationship Between Participation and Objection

We do not operate on a "take-it-or-leave-it" basis. However, we are transparent about practical consequences:

  • Before participation: If you object to all fraud detection processing, participation may not be possible as fraud detection is integral to the service
  • During participation: Real-time analysis occurs automatically; objection at this stage is impractical but you retain post-session rights
  • After participation: Objection to retention, profiling, and ML training can be fully honored without affecting your past participation

Your right to object is genuine and subject to individual assessment, not a pre-determined outcome.

8. Cookies and Similar Technologies

Research Shield™ uses cookies, local storage, and similar technologies on the survey pages you interact with. These technologies are essential to delivering, securing, and protecting the integrity of the survey experience. We do not use any marketing, advertising, or cross-context behavioral tracking cookies.

8.1 What Are Cookies?

Cookies are small text files placed on your device by the websites you visit. Local storage and session storage serve similar functions but are stored differently in your browser. We use these technologies for three purposes: operating the survey, detecting fraud, and monitoring technical errors.

8.2 Essential Cookies

These cookies are strictly necessary for the survey to function. They do not require your consent under Art. 5(3) of the ePrivacy Directive because the survey cannot operate without them.

Name Provider Lifetime Purpose
AWSALB rshld.eu 7 days Load balancing — routes your session to the same server for stability
AWSALBCORS rshld.eu 7 days Cross-origin version of AWSALB, required for secure API requests
rsvs rshld.eu Session Survey session identifier — cleared when a new session starts

8.3 Fraud Detection Cookies and Technologies

Research Shield™ uses device identification technology provided by FingerprintJS, Inc. to detect fraudulent survey responses (bots, duplicate submissions, automated scripts). These technologies are integral to the fraud prevention service described in Section 7 of this Privacy Policy. We classify them as necessary for the provision of the fraud detection service that forms part of the survey experience, as described in our Terms of Use.

8.3.1 Cookies

Name Provider Lifetime Purpose
_iidt rshld.eu (via customfinger.rshld.eu) 1 year FingerprintJS Pro — encrypted device identification token (HttpOnly, Secure)
_vid_t rshld.eu Persistent Encrypted visitor identification token
_fpjsvd rshld.eu Persistent FingerprintJS — visitor identification data
_fpjsvdrqi rshld.eu Persistent FingerprintJS — request identifier
_fpprqi rshld.eu Persistent FingerprintJS — request timestamp
DAPROPS rshld.eu Session DeviceAtlas — device properties (screen resolution, browser type, connection type)

8.3.2 Local Storage

Key Purpose
_vid_t Copy of visitor identification token for fraud detection continuity
_vid_lr Linked session records — connects related FingerprintJS sessions for duplicate detection

8.3.3 Session Storage

Key Purpose
rs-theme Active survey theme name — visual presentation only
sentryReplaySession Sentry error replay data — used for debugging application errors (no personal data)

8.4 Browser APIs for Device Fingerprinting

Our fraud detection system (via FingerprintJS) accesses the following browser APIs to generate device identifiers:

API Purpose
Canvas API Generates unique image rendering signature
WebGL API Identifies graphics hardware characteristics
Audio Context API Generates audio processing signature
Navigator API Collects browser and system information

8.5 Third-Party Services

The following external services receive data from the survey page but do not set their own cookies on your device:

Service Provider Purpose Data Sent
Error monitoring Sentry (Functional Software, Inc., USA) Application error tracking and debugging Error logs, session context (personal data scrubbed before transmission)
Web fonts Google Fonts (Google LLC, USA) Typography rendering IP address (Google's standard font loading)
CDN & security Cloudflare, Inc. (USA) Content delivery and DDoS protection Standard HTTP request data

Data transfers to US-based providers are protected by Standard Contractual Clauses (SCCs) and/or the EU-US Data Privacy Framework, as described in Section 4 of this Privacy Policy.

8.6 Your Choices

Because our cookies are used exclusively for survey operation and fraud prevention (not for marketing or advertising), we do not display a cookie consent banner. However, you can control cookies through your browser settings.

Please note: Blocking or deleting fraud detection cookies may result in your survey response being flagged or rejected, as the system may be unable to verify the authenticity of your session.

Your right to object: You have the right to object to fraud detection processing under GDPR Art. 21. If you object before participation, we will cease processing, but this means your survey session cannot continue. After participation, you may object to continued data retention, cross-session profiling, and ML training use — these objections can be honored without affecting your past participation. See Section 7.5 for the full objection framework.

8.7 Legal Basis for Cookies

Category Legal Basis Justification
Essential cookies (AWSALB, AWSALBCORS, rsvs) Art. 5(3) ePrivacy — Strictly Necessary Required for the survey service to function; exempt from consent requirement
Fraud detection cookies (FingerprintJS, DeviceAtlas) Art. 5(3) ePrivacy — Strictly Necessary for fraud prevention service + Art. 6(1)(f) GDPR Integral to the fraud detection service described in Terms of Use; without these cookies the contracted service cannot be delivered. Legitimate interest in fraud prevention (GDPR Recital 47). Full Legitimate Interest Assessment available on request.
Session/local storage (theme, Sentry) Art. 5(3) ePrivacy — Strictly Necessary Required for survey display and error monitoring; no personal data stored

9. Children

Our services are not intended for children. The minimum age for participation varies by jurisdiction:

Jurisdiction Minimum Age Legal Basis
European Union (default) 16 years GDPR Art. 8(1)
United Kingdom 13 years UK GDPR / Age Appropriate Design Code
Belgium, Ireland, Spain, Portugal, Sweden, Denmark, Finland, Latvia, Malta, Estonia 13 years GDPR Art. 8(1) Member State derogation
France, Czech Republic, Slovenia 15 years GDPR Art. 8(1) Member State derogation
Austria, Bulgaria, Cyprus, Italy, Lithuania, Romania, Slovakia, Hungary 14 years GDPR Art. 8(1) Member State derogation
Germany, Netherlands, Luxembourg, Poland, Croatia, Greece 16 years GDPR Art. 8(1) default
United States 13 years COPPA

We do not knowingly collect data from individuals below the applicable age threshold in their jurisdiction. If you believe we have inadvertently collected data from a child, please contact us immediately at privacy@researchshield.com.

10. Information for United States Residents

10.1 Categories of Personal Information Collected

Under US state privacy laws (including CCPA/CPRA), we collect the following categories:

Category Examples Collected
Identifiers IP address, device ID, session ID Yes
Internet activity Browsing behavior, interaction with survey Yes
Geolocation Approximate location from IP Yes
Inferences Fraud risk scores, quality assessments Yes
Sensitive personal information N/A No

10.2 How We Use and Disclose Information

  • Business purpose: Fraud detection, data quality assurance
  • Sale of data: We do not sell your personal information
  • Sharing for advertising: We do not share your data for cross-context behavioral advertising

10.3 Your Rights (California, Virginia, Colorado, Connecticut, Utah)

Depending on your state, you may have the right to:

  • Know what personal information we collect
  • Access your personal information
  • Delete your personal information
  • Correct inaccurate information
  • Opt-out of sale/sharing (not applicable - we don't sell data)
  • Non-discrimination for exercising your rights

10.4 How to Exercise Your Rights

Submit a request to: privacy@researchshield.com

We will verify your identity and respond within 45 days (or as required by applicable law).

10.5 Authorized Agents

You may designate an authorized agent to submit requests on your behalf with written permission.

10.6 Do Not Track

We do not respond to "Do Not Track" browser signals as there is no industry standard for this feature. However, our tracking is limited to fraud detection purposes only.

11. Policy Changes

We will notify of significant changes by updating the date at the beginning of this document. We encourage periodic review of this Policy.

12. Contact

For privacy-related questions, please contact:

Email: privacy@researchshield.com
Address: TGM Research Pte. Ltd., 6001 Beach Road, #22-01 Golden Mile Tower, Singapore 199589

Last updated: February 6, 2026