WEBINAR CAPACITACIÓN DOCTORADO/TFM/TFG

Introduction to Research Ethics

Background of the Speaker

• The speaker is a veterinarian by training and has spent about 10 years working in an animal research center at a university.

• Since 2007, the speaker has been dedicated to research ethics and integrity, working in a unit called the Office of Responsible Research.

Structure of Ethical Oversight

• The university has an ethics committee that reviews various research activities, including undergraduate and master's theses as well as funded and non-funded projects.

• Approximately 3,000 requests for ethical review are submitted annually, with 20-25% reaching the ethics committee for evaluation.

Ethics Committee Functionality

Current Developments

• The current ethics committee evaluates all research activities but will be divided into two separate committees this year: one for animal research and another for human research.

Importance of Ethical Evaluation

• Not all universities manage ethical evaluations similarly; however, there is a recognized need for structured ethical assessments within doctoral studies at the University Miguel Hernández.

Regulatory Framework

Normative Requirements

• Regulations stipulate that certain activities must undergo ethical evaluation without specifying contexts such as whether they apply only to funded projects or doctoral studies.

Safety Considerations

• All research projects conducted at UMH are subject to safety evaluations alongside ethical considerations. This includes both human-related research and animal studies.

European Standards Compliance

HRS4R Certification

• The University Miguel Hernández holds a European Human Resources Excellence in Research (HRS4R) certification which emphasizes the importance of ethics and integrity in research practices.

Doctoral Studies Regulation

• Recent regulations require doctoral theses to have a Responsible Research Code (COIR), which must be obtained before starting any related activities.

Key Takeaways on Ethical Procedures

Timing of Ethical Review

• It is crucial that any activity with potential ethical implications undergoes evaluation prior to commencement; rushing through procedures can lead to compliance issues later on.

Ethical Evaluation in Research

Importance of Ethical Approval

• Ethical evaluations are crucial and cannot be conducted retroactively; activities already completed cannot receive approval, leading to potential issues for researchers.

• Approximately two-thirds of all requests for ethical review require revisions, emphasizing the necessity of following university policies before commencing thesis work with ethical implications.

Understanding Thesis Development

• Initial phases like bibliographic reviews do not require evaluation, but students should be aware that changes may occur during thesis development that also need to be reviewed.

• Failing to adhere to ethical guidelines can lead to significant legal and reputational risks, affecting not just individuals but entire institutions.

The Need for Transparency

• There is an increasing demand for transparency in research procedures; neglecting ethics and integrity is difficult to justify and poses reputational risks.

• Researchers should engage with ethical practices out of personal conviction rather than mere compliance with procedural requirements.

Procedures for Ethical Review

• The process begins by filling out an online form which assesses the type of activity and its ethical implications, determining if further supervision is needed.

• If no additional oversight is required, the procedure can conclude at this initial phase with a favorable certificate confirming compliance.

Handling Disputes and Documentation

• Having documented evidence of favorable evaluations provides security in case disputes arise within scientific publishing or anonymous complaints.

• Viewing the ethical review process as a bureaucratic burden overlooks its importance; having proper documentation can offer peace of mind when challenges occur.

Key Concepts in Ethical Research

• The first phase involves assessing both legal ethics and responsible research innovation through specific indicators outlined in the evaluation form.

• The form is designed to adapt based on responses provided by researchers, ensuring relevant questions are asked without overwhelming users.

Understanding Primary and Secondary Data in Research

Distinction Between Data Types

• The first step in research is to determine whether the investigation will utilize primary or secondary data. Primary data is generated through the researcher's own activities, while secondary data already exists and is collected from other sources.

• Examples of primary data include measurements taken directly from living subjects (e.g., blood pressure readings, interviews) as well as non-living sources like topographical measurements.

• Secondary data refers to information that has been previously collected and stored elsewhere, often available online today. This distinction significantly impacts ethical considerations in research.

Ethical Considerations in Research

• Ethical evaluations are mandated by law when working with human subjects, especially for invasive procedures. Compliance with biomedical research regulations requires such assessments.

• There are two main categories of personal data: identifiable (e.g., ID numbers, emails) and identifiable but not immediately recognizable without context (e.g., birth dates combined with gender).

Risks Associated with Data Collection

• Identifiable data can uniquely identify individuals on its own, whereas identifiable data may require additional context to do so. This complexity can lead to unintended breaches of anonymity.

• In small groups, seemingly anonymous surveys can inadvertently reveal identities if specific details like birth dates are included alongside demographic information.

Case Study on Data Privacy

• A past incident highlighted the risks of publishing sensitive survey results where a unique individual could be identified due to their age within a small cohort. Despite requests for retraction based on ethical concerns, the publication remained unchanged.

Understanding Public vs. Open Access Sources

• The risk level associated with using public versus open access sources varies; just because a source is open does not mean it is public or ethically permissible for use in research.

• Researchers must exercise caution when utilizing social media data for studies since users may not have consented to their information being used for academic purposes despite it being publicly accessible.

By following this structured approach, researchers can better navigate the complexities surrounding primary and secondary data collection while adhering to ethical standards.

Understanding Data Anonymization and Pseudonymization

Public Data Sources

• The use of public data sources, such as statistics from the National Institute of Statistics (INE), is acceptable as they are anonymous and pose no issues for usage.

Anonymized Databases

• Working with anonymized databases provided by third parties, like private clinics, allows researchers to avoid handling personal data directly, facilitating quicker updates.

Self-Anonymization Risks

• If researchers anonymize data themselves after initially having identifiable information, it constitutes personal data treatment. This highlights the importance of using external third-party services for anonymization.

Pseudonymized Data Handling

• Pseudonymized databases maintain a link between the individual and their data through codes known only to a third party (e.g., hospitals). This method allows analysis without direct identification by researchers.

Security Measures in Data Handling

• Researchers must implement organizational and security measures to minimize risks of re-identification during data handling. This includes limiting access to identity-code relationships to a few trusted individuals.

Special Categories of Sensitive Data

Importance of Pseudonymization

• When dealing with sensitive categories such as health or sexual orientation, pseudonymizing information is crucial due to its sensitivity.

Longitudinal Study Challenges

• In longitudinal studies requiring repeated participant engagement, unique identifiers must be generated carefully to ensure anonymity; traditional methods may inadvertently reveal identities.

Data Collection Types: Primary vs Secondary

Primary Data Creation

• Researchers create primary data themselves. The origin of this data can significantly impact ethical considerations based on whether it involves living beings or inanimate objects.

Implications for Living Subjects

• If the subjects are living beings (humans or animals), additional ethical implications arise that necessitate careful consideration in research design and execution.

Research Data Evaluation Process

Considerations for Data Sources

• The origin of secondary data is crucial, whether it comes from internal sources or external ones. Access can vary between public open access and restricted access, impacting the evaluation process.

Evaluation Speed and Categories

• A color-coded system is used to represent the speed of evaluations: green indicates quick approvals for easy assessments, while orange signifies longer processes due to potential risks involved. This includes considerations for living organisms versus inanimate objects.

Types of Organisms and Procedures

• Inert objects are evaluated quickly; however, living organisms like microorganisms may require additional scrutiny if they are genetically modified or pathogenic. Non-invasive procedures generally expedite evaluations compared to invasive ones that pose physical or psychological risks.

Invasive vs Non-Invasive Procedures

• Invasive procedures that could cause harm are assessed by hospital committees, categorized into four types: physical/psychological risk interventions, biological sample collection, diagnostic tests requiring invasiveness, and genetic analyses needing invasive methods. These typically fall under a longer evaluation timeframe (orange).

Non-Invasive Activities

• Non-invasive activities such as interviews and surveys can be processed more swiftly if anonymity is maintained (blue category). However, any personal data involvement shifts the evaluation back to an orange status due to increased scrutiny requirements.

Handling Personal Data

• When reusing personal data from previous studies, it's essential to determine if new authorization is needed based on whether the data remains anonymous post-study completion. Anonymization allows continued use without extensive procedural delays associated with personal data protection laws.

External Data Sources

• Publicly available external sources allow for rapid processing similar to internal sources unless they involve identifiable information about individuals; this factor significantly influences the time required for evaluations.

Estimation of Timeframes

• A simplified schematic illustrates that inert objects and completely anonymous public data can expect a processing time of approximately 30 days (green category), although actual times may vary based on specific circumstances surrounding each case.

Phases and Timelines in Research Procedures

Overview of Research Phases

• Discussion on the potential for a second phase in research, emphasizing that delays in document submission can halt progress until all required information is provided.

• Introduction of intermediate procedures when working with participants, indicating a timeline of up to 60 days for data collection processes involving personal data or invasive methods.

Ethical Committee Review

• Explanation of the role of ethics committees, which typically meet monthly; most proposals do not receive approval on the first attempt, extending timelines.

• Mention of exceptional circumstances where extraordinary meetings may occur, although this is rare for doctoral theses unless linked to urgent projects.

Use of Anonyum Application

• Description of how using the Anonyum application can reduce processing time from 90 days to 60 by treating studies as anonymous.

Levels of Approval and Timelines

• Introduction to different levels of research activities based on their ethical implications; level one (10 days) applies when a thesis adheres to an already authorized project.

• Clarification that if a thesis is part of an existing approved project, it requires minimal additional documentation and can be expedited within 24 to 48 hours.

Impact of Time on Research Proposals

• Emphasis on the importance of evaluating whether proposed activities can be completed within set timelines, especially relevant for shorter-term projects like master's theses.

• Acknowledgment that research plans evolve over time; changes may necessitate reevaluation due to new developments or requirements arising during the course.

Conditions for Authorization Changes

• Insight into how evolving conditions might affect previously granted approvals; researchers must submit updates if their study's scope changes significantly.

• Explanation that modifications in research activities could lead to conflicts regarding ethical evaluations if initial approvals were based on different assumptions.

Importance of Compliance with Ethical Standards

• Definition and significance of "conditions for authorization," which are legal and ethical frameworks under which research activities are approved.

• Warning against assuming previous approvals remain valid without considering any changes in study parameters or ethical implications.

General Council Guidance on Research and Innovation

Addressing Queries

• The speaker encourages the General Council to reach out with any doubts regarding the applicability of previously approved guidelines to new initiatives. This open line of communication is emphasized as essential for addressing inquiries.

Introduction to RRI Website

• A website developed by the office, referred to as RRI (Responsible Research and Innovation), is introduced. It serves as a hub for transparency in research and innovation practices.

Overview of RRI Features

• The main page of the RRI site includes four sections: Information Indicators, Ethics Integrity, Code of Good Practices, and Transparency Agreement concerning animal use in research. These components are crucial for understanding ethical standards in research activities.

Accessing Repositories

• The speaker discusses access to various repositories that contain information about research activities, including general repositories and specific ones for doctoral theses and final projects. This structure aids in organizing research data effectively.

Repository Details

• A detailed look at a repository containing all approved thesis activities is provided, highlighting that it uses pseudonymization to protect participant identities while still allowing tracking through provisional codes assigned during initial submissions.

Understanding Ethical Implications in Research

Classification of Activities

• Each entry within the repository includes classifications related to ethical implications such as safety, health risks, and environmental concerns, which can be filtered for better analysis by users. This classification system enhances clarity regarding potential impacts associated with each research activity.

Evaluation Documentation

• An evaluation document outlines what was assessed during approval processes, detailing types of activities involved (e.g., human subjects or biological samples) along with their respective ethical considerations and risk assessments related to labor safety or environmental impact.

Code of Good Scientific Practices

Importance of Compliance

• The Code of Good Scientific Practices at Miguel Hernández University is discussed; it was updated due to European quality standards but remains non-normative yet critical for guiding ethical conduct in research practices amidst conflicts with scientific publishers or other entities. Understanding this code is vital for researchers navigating ethical dilemmas in their work.

Understanding Research Integrity and Ethical Standards

Importance of Biological Sample Retention

• The retention period for biological samples is crucial, with discrepancies noted in documentation. This highlights the need for careful attention to detail in research practices.

• Proper documentation is essential to maintain integrity, especially when dealing with third parties or legal matters. Judges may rely on these documents during investigations.

Code of Good Practices at Universidad Miguel Hernández

• The code outlines guidelines aimed at enhancing research quality and preventing integrity issues among researchers and students involved in scientific activities.

• It categorizes unethical behaviors based on severity, providing clarity on what constitutes misconduct in research practices.

Ethics vs. Integrity in Research

• Ethics serve as a societal framework for acceptable behavior, which can vary across cultures (e.g., Japan's approach to animal research ethics). Understanding these differences is vital for global collaboration.

• Integrity is more personal and relates to individual choices regarding ethical conduct within the bounds of established norms and regulations. Researchers must navigate their decisions carefully.

Consequences of Misconduct

• Issues like plagiarism or misusing AI without proper attribution can lead to significant repercussions, even if not explicitly covered by existing laws but addressed within institutional codes of conduct.

• A national ethics committee has been established to monitor integrity issues arising from recent scandals involving researchers, emphasizing the importance of maintaining a good reputation in academia.

Standards Derived from European Codes

• The standards outlined in the university's code are adapted from broader European guidelines that govern research integrity across various institutions, ensuring compliance with international expectations.

• Each organization retains discretion over how to address violations unless they involve illegal actions; this flexibility allows institutions to tailor responses based on context and severity of infractions.

Overview of the Code's Content

• The code covers responsible research and innovation concepts, dissemination commitments, principles of integrity, university responsibilities regarding training, supervision protocols for thesis projects, data management practices, economic resource handling, publication ethics, authorship disputes related to scientific work—all critical areas for researchers' awareness and adherence.

Understanding Research Ethics and Responsible Innovation

Overview of Peer Review and Misconduct in Research

• The importance of understanding peer review practices is emphasized, along with a discussion on misconduct or undesirable practices in research. It is noted that the list provided is not exhaustive, indicating that there are many more actions that should be avoided.

Ethical Committees vs. Research Offices

• A distinction is made between the internal ethics committee and the responsible research office. The ethics committee is described as a "Council of Wise Men" meeting monthly, while the research office acts as the operational arm supporting this committee.

Responsible Research and Innovation Concepts

• The concept of responsible research and innovation (RRI) is introduced, highlighting its inclusion in funding applications like COIR. This section aims to clarify what RRI entails for researchers.

Key Areas of Action in RRI

• Six areas of action related to RRI were identified during the revision of ethical codes influenced by European funding programs such as Horizon 2020:

• Public engagement and citizen participation: Science should serve people and address societal needs.

• Open access: Emphasizes removing barriers to scientific knowledge, ensuring equitable access regardless of economic status.

Gender Equality and Non-discrimination

• Gender equality is highlighted as a fundamental aspect within ethical considerations. The discussion includes biological studies focusing on sex differences rather than gender issues, stressing the need for broader non-discrimination measures beyond just gender.

Ethics, Integrity, and Accountability in Science

• A distinction between ethics and integrity is made; responsibility encompasses both concepts along with others. Researchers are accountable for ensuring their work benefits society through education and outreach activities.

Governance Mechanisms for RRI Implementation

• Governance refers to actions taken to ensure RRI principles are effectively implemented rather than remaining abstract ideas. Examples include integrating these principles into good practice codes or measuring their impact systematically.

Sustainable Development Goals (SDGs)

• The relationship between university values—specifically social responsibility—and sustainable development goals (SDGs) is discussed. These goals have become central to current funding frameworks like Horizon Europe compared to earlier programs like Horizon 2020.

Integration into University Practices

• Researchers at UMH must incorporate these principles into their promotion criteria and research activities, aligning with university statutes emphasizing social responsibility alongside economic, environmental, and social sustainability.

Integrating Sustainable Development Goals (SDGs) into Local Contexts

Understanding the Relevance of SDGs

• The SDGs, while appearing distinct, are deeply integrated with six areas of action aimed at improving people's lives through public commitment and citizen participation.

• Although initially designed to assist less developed countries, all SDGs apply universally; for instance, poverty exists in wealthier nations as well.

• Gender equality and reducing inequalities are transversal themes across all SDGs, emphasizing their interconnectedness and relevance to various societal issues.

Ethical Considerations in Sustainable Development

• Ethics and integrity are crucial for respecting individuals and society; failing to act ethically ultimately harms oneself.

• Scientific education plays a role in reducing inequalities by promoting accountability and better utilization of public funds for a more informed society.

Visualizing Sustainability Levels

• A graphic categorizes the 17 SDGs into three sustainability levels: economic, social, and environmental.

• The biosphere level includes four environmental goals among the 17 total; this highlights that not all SDGs focus solely on environmental issues.

Engagement and Participation in Research Accountability

Attendance Tracking During Sessions

• A QR code is provided for attendees to confirm their presence during the session via a mobile form.

Importance of Research Responsibility Index (IRIU)

• Discussion shifts towards the University Research Responsibility Index (IRIU), which collects data through a questionnaire related to governance practices in research.

Transparency in Research Practices

• Information gathered from IRIU contributes to transparency efforts within university rankings focused on equality and ethical standards.

Governance Awareness Among Researchers

• Participants are encouraged to familiarize themselves with scientific practice codes that govern relationships between supervisors and students.

Understanding Economic Issues in Research

Identifying Conflicts of Interest

• Researchers should be aware of how to identify, declare, and act upon conflicts of interest as outlined in the code of good practices.

Importance of Good Practices Code

• Familiarity with the code of good practices is essential; researchers should know where to find answers to related questions. This isn't a formal exam but a way to gauge understanding.

Evaluation and Improvement Feedback

• An initial evaluation generates an informative report that highlights areas for improvement, providing constructive feedback on performance levels compared to peers.

Activity Forecasting Challenges

• The activity forecast serves as a prospective index based on expectations rather than actual outcomes; it may not accurately reflect future results without concrete publications or patents.

Scoring Based on Publication Intentions

• Points are awarded based on publication intentions: zero points for no intention, six points for subscription-based journals, and maximum points for open access or result transfer intentions.

Impact Assessment in Research

Local vs Global Impact

• The potential impact of research can vary from local (e.g., community studies) to global significance depending on the nature and scope of the research conducted.

Environmental Sustainability Considerations

• Researchers must assess whether their work contributes directly or indirectly to sustainable environmental development, such as improving access to clean water. Questions regarding this aspect are included in evaluations.

Community Engagement in Research Design

Collaboration with Civil Entities

• Positive scoring is given when researchers collaborate with civil entities or organizations during the design phase, focusing on real-world problem-solving for vulnerable groups.

Inclusion of At-Risk Groups

• Projects addressing issues faced by at-risk groups receive additional points; this includes considerations around social exclusion factors like cultural or economic barriers.

Gender Perspective in Research Teams

Balanced Team Composition

• Evaluators consider whether research teams maintain gender balance; while challenging in individual theses, awareness within larger groups is encouraged for equitable representation.

Gender as a Study Variable

• When applicable, gender perspectives should be integrated into research design as a variable; failure to do so may result in point deductions if not justified appropriately.

Scientific Education and Outreach

Dissemination Plans Impact Scoring

• If results will not be disseminated at all, zero points are assigned; however, various outreach activities can earn up to 15 points based on their scope and intent (e.g., conferences or educational courses).

Alignment with Sustainable Development Goals (SDGs)

• Researchers must declare which SDGs their work addresses: zero points if none are relevant, ten points for one SDG addressed, and fifteen points for two or more SDGs considered within their project framework.

Impact on Research and Evaluation Procedures

Overview of Impact in Research

• The discussion begins with an overview of the impact on research, highlighting the generation of a report that indicates the university's administrative responsibility index.

• An example is provided where an index score of 75 is mentioned, along with references to other scores like 42, emphasizing the variability in performance metrics.

• The speaker notes that not all activities are scored due to prior approvals for certain projects, indicating a need to refer back to original project evaluations.

Measuring Research Impact

• A star rating system (up to five stars) is introduced as a measure of research impact related to Sustainable Development Goals (SDGs).

• Each SDG is weighted between one and four stars based on how intensively they are addressed in various projects, allowing for nuanced evaluation.

• The algorithm used generates star ratings reflecting both quantity and intensity of engagement with specific SDGs.

Case Study: High Scoring Project

• A project titled "Fertiriego ecosostenible de precisión en zonas vulnerables" achieves a maximum score of 100 points, showcasing its comprehensive approach across multiple SDGs.

• This project addresses environmental concerns and social issues related to vulnerable communities, contributing significantly to its high rating.

Transitioning to Evaluation Procedures

• The focus shifts towards explaining the procedures involved in evaluating research projects under COIR (Committee for Research Evaluation).

• Instructions are given on accessing relevant information through the office's website, detailing steps for submitting evaluation requests.

Importance of Training and Data Accuracy

• Emphasis is placed on training participants about data collection methods and common errors encountered during form completion.

• The session will be recorded for future reference; it aims at ensuring that those who missed it can still access vital information needed for filling out forms accurately.

• Participants are encouraged not to delay their submissions after viewing this session since immediate action will help retain clarity on processes discussed.

Training and Form Submission Process

Overview of the COIR Form Requirements

• The COIR form requires a specific code (hash) to be entered, which is essential for completion. This applies to students in TFG, TFM, and doctoral programs who must undergo prior training.

• Students will need to answer questions related to today's session, including deadlines for various activities discussed, such as 10, 30, or 60 days.

• Completing the training reduces errors in the procedure and benefits all participants. It is emphasized that everyone should attend live or watch the recorded session.

Filling Out the COIR Form

• The speaker begins demonstrating how to fill out the form by entering personal details like email and full name.

• Information required includes program of study (e.g., Sport and Health), thesis director's contact information, and departmental affiliation.

• Participants are instructed on how to indicate their research center or institute accurately within the form.

Important Sections of the Form

• A section for estimated defense date is included; students can input a timeline based on their expected completion (3 years, 5 years).

• Students must upload proof of training completion via an insignia in this section. The process is designed to be quick without unnecessary steps.

Financial Considerations and Ethical Compliance

• Questions regarding funding sources are addressed; if European funds are involved, it typically pertains more to projects rather than individual research.

• Ethical considerations are highlighted concerning data management and approvals from relevant committees (e.g., ethics committee at Alicante Hospital).

Final Steps in Submission Process

• The Iriu section consists of eight questions focusing on integrity, governance, public commitment, etc., which must be marked appropriately.

• Participants discuss collaboration with entities and how multiple origins can be indicated if applicable.

• Ethical implications regarding data types (primary vs secondary data from living beings or inanimate objects) are clarified during submission discussions.

This structured approach ensures clarity about each step involved in completing the COIR form while emphasizing ethical compliance throughout the process.

Research Ethics and Human Intervention

Overview of Ethical Considerations in Human Research

• The discussion begins with the option to indicate any additional implications after completing a form related to human intervention, emphasizing the importance of ethical considerations.

• Three main types of interventions are identified: physical, psychological (including treatments for conditions like anorexia or bulimia), and non-invasive procedures based on data from individuals.

• Recruitment methods are discussed, highlighting the use of university students as participants and the need for clear demographic specifications such as age and health status.

Protecting Participants in Research

• The primary goal of any ethics committee is to protect research participants, which varies significantly between vulnerable groups (e.g., children vs. adults).

• Vulnerability extends beyond age; it includes factors like recognized disabilities that may affect an individual's ability to provide informed consent.

• Researchers must assess risks associated with stigmatization or discrimination against participants, ensuring that these risks are minimized during study design.

Data Protection Challenges in Research

• The complexity of personal data protection in research is highlighted, noting that compliance can be tedious but is essential for ethical standards.

• Questions regarding personal data help determine if there will be treatment of personal information and assist in generating necessary documentation like informed consent forms.

• Emphasis is placed on accurately filling out legal documents related to data treatment activities to avoid potential errors due to lack of legal expertise.

Sensitive Data Categories

• Certain categories of sensitive data require special attention when submitted for ethical review, including health information, sexual orientation, political opinions, and more.

• Identifiable information such as names or images falls under strict regulations; exceptions exist only under specific conditions where anonymity can be ensured.

Data Source Verification

• The source of participant data can either come directly from individuals or through public records; this distinction impacts how researchers handle privacy concerns.

Research Procedures and Ethical Considerations

Data Collection Methods

• Discussion on the necessity of specifying whether data collection will be conducted in-person, online, or through both methods. Emphasis on using interviews and questionnaires as potential tools for gathering information.

Questionnaire Development

• Acknowledgment that researchers may not have a clear idea of the questions to ask during the initial phase of research. The study aims to refine the questionnaire as it progresses.

Researcher Flexibility

• Explanation of procedures allowing researchers to declare uncertainty about their questionnaires. Researchers can sign a document committing to provide the finalized questionnaire at a later date.

Evaluation Process

• Clarification that an interim report is issued confirming current information is acceptable while awaiting further details about the questionnaire. This process ensures ongoing evaluation without immediate disapproval.

Anonymity and Ethical Considerations

• Importance of assessing whether data collection will be anonymous or identifiable. Discussion includes ethical obligations such as notifying authorities if vulnerable individuals are identified during research.

Data Handling and Responsibilities

Types of Data Collected

• Differentiation between anonymized and pseudonymized data, along with identifying characteristics versus identifiable data types being collected from participants.

Lifecycle Management of Data

• Overview of roles in data management: responsible parties, co-responsible entities, and those tasked with processing data. Understanding these roles is crucial for compliance with regulations.

Stages of Data Treatment

• Description of various stages in handling participant data—from collection to analysis—highlighting who manages each stage (e.g., storage, analysis).

Justifications for Data Handling Practices

• Need for justifying decisions regarding anonymity or pseudonymization throughout different phases, including collection, custody, analysis, and final treatment options like deletion or anonymization.

Communication with Participants

• Emphasis on transparency with participants regarding how their data will be treated post-research completion; informing them if their data will not be deleted or anonymized is essential for ethical practice.

Data Management and Ethical Considerations in Research

Data Format and Retention

• Pseudonymized data is essential for future studies; researchers must inform participants and obtain authorization.

• The legal requirement for data retention varies, typically ranging from 6 to 10 years, depending on the study's duration.

Geographical Scope of Data Treatment

• The geographical scope can affect how data is processed; it may be regional or international based on the countries involved.

• In comparative studies across continents (e.g., Spain and Latin America), the classification should be marked as international.

Anonymization and Consent

• Data collected through questionnaires should either be anonymous or pseudonymized, focusing on necessary demographic information like gender.

• Informed consent must be freely given without coercion; any conditions affecting this should be clearly explained.

Automated Decision-Making Implications

• If personal data is used for automated decision-making (e.g., credit approvals), researchers need to acknowledge potential ethical implications.

• Understanding who benefits from the data usage is crucial; typically, it's the principal investigator (PI).

Ethical Responsibilities in AI Integration

• The integration of artificial intelligence into research raises ethical concerns about decision-making processes that exclude human involvement.

• Researchers must clarify if AI systems will influence decisions made about individuals, which could have significant consequences.

Environmental and Occupational Risks

• Assessing environmental risks related to biological contamination or hazardous materials is vital in research planning.

• Questions regarding genetically modified organisms (GMOs) highlight potential health risks that need careful consideration.

Risk Assessment and Ethical Procedures in Research

Overview of Risk Evaluation Process

• The necessity for a risk evaluation is determined by the presence of potential hazards in laboratories or workshops, particularly concerning machinery or chemicals. If risks are deemed negligible, the process can be expedited with a questionnaire submission.

• Daily reviews of submitted tables are conducted, with some automated procedures in place to streamline initial evaluations, such as issuing provisional codes upon completion of preliminary phases.

• In cases where no risks are detected, automated favorable reports may be generated; however, most situations require human oversight before proceeding further. Notifications regarding next steps will be communicated via email to involved parties.

Steps Following Risk Assessment

• Upon completion of the risk assessment, if additional steps are necessary (e.g., committee review), detailed instructions including required forms will be provided to ensure compliance with procedural standards.

• A question arises about whether individuals associated with COIR projects need to complete the form; it is confirmed that they do but can do so quickly by indicating project approval and submitting relevant documentation.

Committee Review and Ethical Considerations

• It is emphasized that even when ethical evaluations occur at hospitals (as per COIR requirements), other aspects like personal data handling and environmental risks must still be managed within the university framework. This highlights a dual responsibility in research ethics and safety protocols.

• Clarifications on using existing COIR codes for different academic activities indicate that while multiple TFMs can stem from one research project, each TFM requires its own separate approval process due to their distinct nature as final activities.

Addressing Common Concerns

• Participants express concerns about reusing previously obtained codes for new submissions; it is clarified that while past codes should theoretically work, manual verification processes may cause issues during resubmission attempts. Users are encouraged to retry if faced with difficulties.

• Upcoming training sessions on animal experimentation were mentioned tentatively scheduled for March 16th, with registration expected around mid-February; this indicates ongoing efforts to enhance researcher preparedness in ethical practices related to animal studies.

Final Thoughts on Research Protocol Compliance

• The discussion concludes with an acknowledgment of ongoing adjustments needed within doctoral programs regarding how forms are filled out based on evolving guidelines and feedback from students about their experiences navigating these processes throughout their first year of study. Suggestions for phased approaches were also considered as a means to alleviate confusion among new researchers entering these systems.

Research Considerations and Consent

Understanding Different Types of Research

• The discussion emphasizes the need to consider various types of research, particularly those that differ from other fields. Clarification is encouraged if there are any doubts regarding the approach.

Importance of Consent in Research

• A participant mentions working with adolescents in schools who have provided consent for their data usage, highlighting the significance of informed consent in research practices.

• It is crucial to verify the specific purpose for which consent was granted. Using data for a different purpose than originally intended may constitute secondary use, necessitating careful consideration.

Addressing Questions and Concerns

• The speaker invites further questions and provides contact information for assistance with filling out forms or addressing concerns related to the research process.

Timeliness in Completing Forms

• Participants are advised to complete training course questions promptly to avoid forgetting important details. This highlights the importance of timely engagement with educational materials.

Technical Considerations During Data Entry

• There is a discussion about whether data can be saved during multiple sessions when filling out forms. If a computer loses power unexpectedly, entered data may be lost, stressing the need for caution while working on digital platforms.

• A request is made for a direct link to the office's webpage, indicating an interest in accessing additional resources or information related to the research process.