A clinical data manager begins by reviewing overnight data uploads and running quality control audits to identify missing or inconsistent data entries. They design validation logic checks for new clinical databases and collaborate with research coordinators to define data collection requirements for upcoming trials. Much of the day involves processing clinical data entry, generating queries to resolve data discrepancies, and preparing formatted datasets for statistical analysis. They monitor compliance with standard operating procedures and prepare progress reports on data management activities. The role requires constant communication with clinical teams to clarify data requirements and ensure proper data handling protocols are followed.
Individuals who excel in this role possess strong analytical thinking combined with meticulous attention to detail, as evidenced by the high importance ratings for dependability (5.0) and attention to detail (4.0). They typically have a Conventional-Investigative personality profile, enjoying structured data work while also being curious about research outcomes. Success requires excellent written and oral communication skills to collaborate with clinical researchers and resolve data queries. Those who thrive appreciate working at the intersection of healthcare and technology, combining domain knowledge in medicine with technical database skills. The role suits detail-oriented professionals who find satisfaction in ensuring data accuracy and contributing to medical research advances.
Clinical data management faces moderate automation risk, particularly in routine data entry and basic validation tasks. However, the role's emphasis on complex problem solving (importance 3.5), critical thinking (4.0), and collaboration with clinical teams provides protection against automation. The need for domain expertise in medicine and regulatory compliance, combined with requirements for nuanced decision-making about data quality issues, ensures continued human oversight in clinical data management workflows.
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| TERM | COUNT | FREQ | BAR | SOURCE ATTRIBUTION |
|---|---|---|---|---|
| clinical | 101 | 0.0262 | wikipedia 67% inference 26% | |
| management | 65 | 0.0169 | wikipedia 62% inference 20% | |
| others | 42 | 0.0109 | onet dimensi 90% dwas 10% | |
| tendency | 42 | 0.0109 | onet dimensi 100% | |
| trial | 25 | 0.0065 | wikipedia 100% | |
| quality | 24 | 0.0062 | inference 29% onet dimensi 25% | |
| equipment | 23 | 0.0060 | onet dimensi 100% | |
| research | 22 | 0.0057 | inference 50% wikipedia 41% | |
| design | 19 | 0.0049 | wikipedia 37% onet dimensi 32% | |
| procedures | 19 | 0.0049 | onet dimensi 42% dwas 26% | |
| validation | 18 | 0.0047 | wikipedia 78% inference 17% | |
| electronic | 18 | 0.0047 | wikipedia 61% onet dimensi 28% | |
| activities | 18 | 0.0047 | onet dimensi 50% wikipedia 33% | |
| crf | 18 | 0.0047 | wikipedia 100% | |
| entry | 16 | 0.0042 | wikipedia 62% inference 19% | |
| database | 16 | 0.0042 | wikipedia 69% inference 19% | |
| analysis | 16 | 0.0042 | wikipedia 44% onet dimensi 25% | |
| control | 16 | 0.0042 | onet dimensi 75% wikipedia 12% | |
| principles | 16 | 0.0042 | onet dimensi 100% | |
| standards | 15 | 0.0039 | onet dimensi 53% wikipedia 47% | |
| manager | 15 | 0.0039 | wikipedia 93% inference 7% | |
| includes | 14 | 0.0036 | onet dimensi 86% wikipedia 14% | |
| rules | 13 | 0.0034 | onet dimensi 62% wikipedia 38% | |
| problems | 12 | 0.0031 | onet dimensi 75% onet tasks 8% | |
| processing | 12 | 0.0031 | wikipedia 42% onet dimensi 33% | |
| human | 12 | 0.0031 | onet dimensi 58% wikipedia 33% | |
| objects | 12 | 0.0031 | onet dimensi 100% | |
| body | 12 | 0.0031 | onet dimensi 83% wikipedia 17% | |
| appropriate | 11 | 0.0029 | onet dimensi 45% wikipedia 36% | |
| needs | 11 | 0.0029 | onet dimensi 73% onet tasks 9% |
Provenance Window — Full Source Record · 15-2051.02 · Clinical Data Managers 7 source blocks · click to expand
[Core] [20% incumbents] Design and validate clinical databases, including designing or testing logic checks. DWAs: Evaluate data quality. | Create databases to store electronic data. [Core] [20% incumbents] Process clinical data, including receipt, entry, verification, or filing of information. DWAs: Evaluate data quality. | Prepare data for analysis. [Core] [20% incumbents] Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems. DWAs: Analyze data to identify or resolve operational problems. [Core] [20% incumbents] Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes. DWAs: Develop procedures for data management. [Core] [20% incumbents] Monitor work productivity or quality to ensure compliance with standard operating procedures. DWAs: Monitor operational activities to ensure compliance with regulations or standard operating procedures. [Core] [20% incumbents] Prepare appropriate formatting to data sets as requested. DWAs: Prepare data for analysis. [Core] [20% incumbents] Design forms for receiving, processing, or tracking data. DWAs: Develop procedures for data entry or processing. [Core] [20% incumbents] Prepare data analysis listings and activity, performance, or progress reports. DWAs: Prepare analytical reports. [Core] [20% incumbents] Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols. DWAs: Collaborate with others to determine design specifications or details. [Core] [20% incumbents] Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data. DWAs: Evaluate data quality. [Core] [20% incumbents] Analyze clinical data using appropriate statistical tools. DWAs: Analyze health-related data. [Core] [20% incumbents] Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency. DWAs: Evaluate utility of software or hardware technologies. | Recommend changes to improve computer or information systems. [Core] [20% incumbents] Develop technical specifications for data management programming and communicate needs to information technology staff. DWAs: Develop procedures for data management. | Communicate project information to others. [Core] [20% incumbents] Write work instruction manuals, data capture guidelines, or standard operating procedures. DWAs: Document operational procedures. | Prepare instruction manuals. [Core] [20% incumbents] Track the flow of work forms, including in-house data flow or electronic forms transfer. DWAs: Collect archival data. [Core] [20% incumbents] Supervise the work of data management project staff. DWAs: Supervise information technology personnel. [Core] [20% incumbents] Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation. DWAs: Manage documentation to ensure organization or accuracy. [Core] [20% incumbents] Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices. DWAs: Update knowledge about emerging industry or technology trends. [Core] [20% incumbents] Train staff on technical procedures or software program usage. DWAs: Train others in computer interface or software use. [Supplemental] [20% incumbents] Develop or select specific software programs for various research scenarios. DWAs: Design software applications. [Supplemental] [20% incumbents] Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs. DWAs: Communicate project information to others.
--- SKILLS --- Critical Thinking (imp:4.00 lvl:4.25) — Using logic and reasoning to identify the strengths and weaknesses of alternativ Reading Comprehension (imp:3.88 lvl:4.25) — Understanding written sentences and paragraphs in work-related documents. Active Listening (imp:3.88 lvl:3.88) — Giving full attention to what other people are saying, taking time to understand Speaking (imp:3.88 lvl:4.00) — Talking to others to convey information effectively. Writing (imp:3.75 lvl:4.00) — Communicating effectively in writing as appropriate for the needs of the audienc Active Learning (imp:3.62 lvl:4.00) — Understanding the implications of new information for both current and future pr Monitoring (imp:3.62 lvl:4.12) — Monitoring/Assessing performance of yourself, other individuals, or organization Mathematics (imp:3.50 lvl:3.88) — Using mathematics to solve problems. Learning Strategies (imp:2.88 lvl:3.25) — Selecting and using training/instructional methods and procedures appropriate fo Science (imp:2.38 lvl:2.25) — Using scientific rules and methods to solve problems. --- KNOWLEDGE --- English Language (imp:4.10 lvl:4.35) — Knowledge of the structure and content of the English language including the mea Computers and Electronics (imp:3.95 lvl:4.75) — Knowledge of circuit boards, processors, chips, electronic equipment, and comput Customer and Personal Service (imp:3.70 lvl:4.30) — Knowledge of principles and processes for providing customer and personal servic Mathematics (imp:3.20 lvl:3.85) — Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their appl Medicine and Dentistry (imp:3.05 lvl:2.75) — Knowledge of the information and techniques needed to diagnose and treat human i Administration and Management (imp:2.95 lvl:3.65) — Knowledge of business and management principles involved in strategic planning, Administrative (imp:2.75 lvl:3.70) — Knowledge of administrative and office procedures and systems such as word proce Biology (imp:2.75 lvl:2.90) — Knowledge of plant and animal organisms, their tissues, cells, functions, interd Education and Training (imp:2.75 lvl:4.00) — Knowledge of principles and methods for curriculum and training design, teaching Law and Government (imp:2.55 lvl:2.15) — Knowledge of laws, legal codes, court procedures, precedents, government regulat Public Safety and Security (imp:2.25 lvl:1.85) — Knowledge of relevant equipment, policies, procedures, and strategies to promote Engineering and Technology (imp:2.20 lvl:2.20) — Knowledge of the practical application of engineering science and technology. Th Communications and Media (imp:2.10 lvl:1.70) — Knowledge of media production, communication, and dissemination techniques and m Design (imp:2.05 lvl:2.10) — Knowledge of design techniques, tools, and principles involved in production of Personnel and Human Resources (imp:2.00 lvl:2.20) — Knowledge of principles and procedures for personnel recruitment, selection, tra Psychology (imp:2.00 lvl:1.65) — Knowledge of human behavior and performance; individual differences in ability, Production and Processing (imp:1.90 lvl:1.45) — Knowledge of raw materials, production processes, quality control, costs, and ot Telecommunications (imp:1.90 lvl:1.00) — Knowledge of transmission, broadcasting, switching, control, and operation of te Sociology and Anthropology (imp:1.65 lvl:1.05) — Knowledge of group behavior and dynamics, societal trends and influences, human Sales and Marketing (imp:1.55 lvl:1.25) — Knowledge of principles and methods for showing, promoting, and selling products Therapy and Counseling (imp:1.55 lvl:0.95) — Knowledge of principles, methods, and procedures for diagnosis, treatment, and r Chemistry (imp:1.50 lvl:0.95) — Knowledge of the chemical composition, structure, and properties of substances a Economics and Accounting (imp:1.45 lvl:0.90) — Knowledge of economic and accounting principles and practices, the financial mar Mechanical (imp:1.45 lvl:0.70) — Knowledge of machines and tools, including their designs, uses, repair, and main Building and Construction (imp:1.35 lvl:0.60) — Knowledge of materials, methods, and the tools involved in the construction or r Transportation (imp:1.35 lvl:0.35) — Knowledge of principles and methods for moving people or goods by air, rail, sea Geography (imp:1.30 lvl:1.05) — Knowledge of principles and methods for describing the features of land, sea, an Foreign Language (imp:1.30 lvl:0.55) — Knowledge of the structure and content of a foreign (non-English) language inclu Physics (imp:1.20 lvl:0.35) — Knowledge and prediction of physical principles, laws, their interrelationships, Philosophy and Theology (imp:1.20 lvl:0.45) — Knowledge of different philosophical systems and religions. This includes their History and Archeology (imp:1.05 lvl:0.10) — Knowledge of historical events and their causes, indicators, and effects on civi Food Production (imp:1.00) — Knowledge of techniques and equipment for planting, growing, and harvesting food Fine Arts (imp:1.00) — Knowledge of the theory and techniques required to compose, produce, and perform --- ABILITIES --- Deductive Reasoning (imp:4.12 lvl:4.25) — The ability to apply general rules to specific problems to produce answers that Information Ordering (imp:4.12 lvl:4.00) — The ability to arrange things or actions in a certain order or pattern according Oral Comprehension (imp:4.00 lvl:4.25) — The ability to listen to and understand information and ideas presented through Written Comprehension (imp:4.00 lvl:4.25) — The ability to read and understand information and ideas presented in writing. Oral Expression (imp:4.00 lvl:4.12) — The ability to communicate information and ideas in speaking so others will unde Written Expression (imp:3.88 lvl:4.12) — The ability to communicate information and ideas in writing so others will under Problem Sensitivity (imp:3.88 lvl:3.88) — The ability to tell when something is wrong or is likely to go wrong. It does no Inductive Reasoning (imp:3.88 lvl:3.88) — The ability to combine pieces of information to form general rules or conclusion Near Vision (imp:3.88 lvl:3.62) — The ability to see details at close range (within a few feet of the observer). Speech Recognition (imp:3.75 lvl:3.38) — The ability to identify and understand the speech of another person. Speech Clarity (imp:3.75 lvl:3.38) — The ability to speak clearly so others can understand you. Mathematical Reasoning (imp:3.38 lvl:3.62) — The ability to choose the right mathematical methods or formulas to solve a prob Category Flexibility (imp:3.25 lvl:3.88) — The ability to generate or use different sets of rules for combining or grouping Fluency of Ideas (imp:3.12 lvl:3.50) — The ability to come up with a number of ideas about a topic (the number of ideas Number Facility (imp:3.12 lvl:3.25) — The ability to add, subtract, multiply, or divide quickly and correctly. Flexibility of Closure (imp:3.12 lvl:3.25) — The ability to identify or detect a known pattern (a figure, object, word, or so Originality (imp:3.00 lvl:3.38) — The ability to come up with unusual or clever ideas about a given topic or situa Selective Attention (imp:3.00 lvl:3.00) — The ability to concentrate on a task over a period of time without being distrac Perceptual Speed (imp:2.88 lvl:3.00) — The ability to quickly and accurately compare similarities and differences among Memorization (imp:2.62 lvl:2.62) — The ability to remember information such as words, numbers, pictures, and proced Speed of Closure (imp:2.62 lvl:2.75) — The ability to quickly make sense of, combine, and organize information into mea Far Vision (imp:2.38 lvl:2.50) — The ability to see details at a distance. Visualization (imp:2.25 lvl:2.12) — The ability to imagine how something will look after it is moved around or when Time Sharing (imp:2.25 lvl:1.75) — The ability to shift back and forth between two or more activities or sources of Finger Dexterity (imp:1.88 lvl:1.62) — The ability to make precisely coordinated movements of the fingers of one or bot Auditory Attention (imp:1.88 lvl:0.88) — The ability to focus on a single source of sound in the presence of other distra Wrist-Finger Speed (imp:1.75 lvl:0.88) — The ability to make fast, simple, repeated movements of the fingers, hands, and Visual Color Discrimination (imp:1.75 lvl:0.88) — The ability to match or detect differences between colors, including shades of c Hearing Sensitivity (imp:1.75 lvl:1.00) — The ability to detect or tell the differences between sounds that vary in pitch Trunk Strength (imp:1.62 lvl:0.88) — The ability to use your abdominal and lower back muscles to support part of the Arm-Hand Steadiness (imp:1.38 lvl:0.38) — The ability to keep your hand and arm steady while moving your arm or while hold Manual Dexterity (imp:1.38 lvl:0.38) — The ability to quickly move your hand, your hand together with your arm, or your Dynamic Strength (imp:1.38 lvl:0.38) — The ability to exert muscle force repeatedly or continuously over time. This inv Depth Perception (imp:1.38 lvl:0.38) — The ability to judge which of several objects is closer or farther away from you Control Precision (imp:1.25 lvl:0.25) — The ability to quickly and repeatedly adjust the controls of a machine or a vehi Spatial Orientation (imp:1.00) — The ability to know your location in relation to the environment or to know wher Multilimb Coordination (imp:1.00) — The ability to coordinate two or more limbs (for example, two arms, two legs, or Response Orientation (imp:1.00) — The ability to choose quickly between two or more movements in response to two o Rate Control (imp:1.00) — The ability to time your movements or the movement of a piece of equipment in an Reaction Time (imp:1.00) — The ability to quickly respond (with the hand, finger, or foot) to a signal (sou Speed of Limb Movement (imp:1.00) — The ability to quickly move the arms and legs. Static Strength (imp:1.00) — The ability to exert maximum muscle force to lift, push, pull, or carry objects. Explosive Strength (imp:1.00) — The ability to use short bursts of muscle force to propel oneself (as in jumping Stamina (imp:1.00) — The ability to exert yourself physically over long periods of time without getti Extent Flexibility (imp:1.00) — The ability to bend, stretch, twist, or reach with your body, arms, and/or legs. Dynamic Flexibility (imp:1.00) — The ability to quickly and repeatedly bend, stretch, twist, or reach out with yo Gross Body Coordination (imp:1.00) — The ability to coordinate the movement of your arms, legs, and torso together wh Gross Body Equilibrium (imp:1.00) — The ability to keep or regain your body balance or stay upright when in an unsta Night Vision (imp:1.00) — The ability to see under low-light conditions. Peripheral Vision (imp:1.00) — The ability to see objects or movement of objects to one's side when the eyes ar Glare Sensitivity (imp:1.00) — The ability to see objects in the presence of a glare or bright lighting. Sound Localization (imp:1.00) — The ability to tell the direction from which a sound originated. --- WORK ACTIVITIES --- Working with Computers (imp:4.70 lvl:4.25) — Using computers and computer systems (including hardware and software) to progra Processing Information (imp:4.53 lvl:5.65) — Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying Getting Information (imp:4.50 lvl:4.90) — Observing, receiving, and otherwise obtaining information from all relevant sour Documenting/Recording Information (imp:4.45 lvl:5.15) — Entering, transcribing, recording, storing, or maintaining information in writte Evaluating Information to Determine Compliance with Standards (imp:4.20 lvl:4.85) — Using relevant information and individual judgment to determine whether events o Communicating with Supervisors, Peers, or Subordinates (imp:4.20 lvl:4.80) — Providing information to supervisors, co-workers, and subordinates by telephone, Making Decisions and Solving Problems (imp:4.16 lvl:4.55) — Analyzing information and evaluating results to choose the best solution and sol Organizing, Planning, and Prioritizing Work (imp:4.15 lvl:5.40) — Developing specific goals and plans to prioritize, organize, and accomplish your Identifying Objects, Actions, and Events (imp:4.05 lvl:4.40) — Identifying information by categorizing, estimating, recognizing differences or Analyzing Data or Information (imp:4.00 lvl:5.10) — Identifying the underlying principles, reasons, or facts of information by break Updating and Using Relevant Knowledge (imp:3.90 lvl:5.10) — Keeping up-to-date technically and applying new knowledge to your job. Communicating with People Outside the Organization (imp:3.84 lvl:4.35) — Communicating with people outside the organization, representing the organizatio Establishing and Maintaining Interpersonal Relationships (imp:3.80 lvl:5.00) — Developing constructive and cooperative working relationships with others, and m Scheduling Work and Activities (imp:3.63 lvl:4.55) — Scheduling events, programs, and activities, as well as the work of others. Coordinating the Work and Activities of Others (imp:3.60 lvl:4.15) — Getting members of a group to work together to accomplish tasks. Interpreting the Meaning of Information for Others (imp:3.50 lvl:3.95) — Translating or explaining what information means and how it can be used. Developing and Building Teams (imp:3.40 lvl:3.55) — Encouraging and building mutual trust, respect, and cooperation among team membe Thinking Creatively (imp:3.30 lvl:4.25) — Developing, designing, or creating new applications, ideas, relationships, syste Judging the Qualities of Objects, Services, or People (imp:3.25 lvl:3.85) — Assessing the value, importance, or quality of things or people. Training and Teaching Others (imp:3.25 lvl:3.55) — Identifying the educational needs of others, developing formal educational or tr Developing Objectives and Strategies (imp:3.20 lvl:3.85) — Establishing long-range objectives and specifying the strategies and actions to Monitoring Processes, Materials, or Surroundings (imp:3.10 lvl:3.55) — Monitoring and reviewing information from materials, events, or the environment, Estimating the Quantifiable Characteristics of Products, Events, or Information (imp:3.10 lvl:3.15) — Estimating sizes, distances, and quantities; or determining time, costs, resourc Resolving Conflicts and Negotiating with Others (imp:3.05 lvl:3.60) — Handling complaints, settling disputes, and resolving grievances and conflicts, Guiding, Directing, and Motivating Subordinates (imp:3.05 lvl:3.70) — Providing guidance and direction to subordinates, including setting performance Providing Consultation and Advice to Others (imp:3.05 lvl:3.50) — Providing guidance and expert advice to management or other groups on technical, Coaching and Developing Others (imp:2.95 lvl:3.90) — Identifying the developmental needs of others and coaching, mentoring, or otherw Performing Administrative Activities (imp:2.80 lvl:3.05) — Performing day-to-day administrative tasks such as maintaining information files Selling or Influencing Others (imp:2.35 lvl:2.55) — Convincing others to buy merchandise/goods or to otherwise change their minds or Monitoring and Controlling Resources (imp:2.35 lvl:2.45) — Monitoring and controlling resources and overseeing the spending of money. Assisting and Caring for Others (imp:2.05 lvl:2.05) — Providing personal assistance, medical attention, emotional support, or other pe Inspecting Equipment, Structures, or Materials (imp:1.95 lvl:1.45) — Inspecting equipment, structures, or materials to identify the cause of errors o Staffing Organizational Units (imp:1.95 lvl:2.35) — Recruiting, interviewing, selecting, hiring, and promoting employees in an organ Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment (imp:1.75 lvl:1.25) — Providing documentation, detailed instructions, drawings, or specifications to t Performing for or Working Directly with the Public (imp:1.60 lvl:0.95) — Performing for people or dealing directly with the public. This includes serving Performing General Physical Activities (imp:1.40 lvl:0.70) — Performing general physical activities includes doing activities that require co Controlling Machines and Processes (imp:1.35 lvl:0.60) — Using either control mechanisms or direct physical activity to operate machines Operating Vehicles, Mechanized Devices, or Equipment (imp:1.35 lvl:0.45) — Running, maneuvering, navigating, or driving vehicles or mechanized equipment, s Handling and Moving Objects (imp:1.30 lvl:0.65) — Using hands and arms in handling, installing, positioning, and moving materials, Repairing and Maintaining Mechanical Equipment (imp:1.25 lvl:0.40) — Servicing, repairing, adjusting, and testing machines, devices, moving parts, an Repairing and Maintaining Electronic Equipment (imp:1.25 lvl:0.35) — Servicing, repairing, calibrating, regulating, fine-tuning, or testing machines, --- WORK STYLES --- Dependability (imp:5.00) — A tendency to be reliable, responsible, and consistent in meeting work-related o Attention to Detail (imp:4.00) — A tendency to be detail-oriented, organized, and thorough in completing work. Attention to Detail (imp:3.00) — A tendency to be detail-oriented, organized, and thorough in completing work. Integrity (imp:3.00) — A tendency to be honest and ethical at work. Dependability (imp:2.65) — A tendency to be reliable, responsible, and consistent in meeting work-related o Integrity (imp:2.47) — A tendency to be honest and ethical at work. Cautiousness (imp:2.39) — A tendency to be careful, deliberate, and risk-avoidant when making work-related Intellectual Curiosity (imp:2.12) — A tendency to seek out and acquire new work-related knowledge and obtain a deep Cautiousness (imp:2.00) — A tendency to be careful, deliberate, and risk-avoidant when making work-related Achievement Orientation (imp:1.92) — A tendency to establish and maintain personally challenging work-related goals, Perseverance (imp:1.64) — A tendency to exhibit determination and resolve to perform or complete tasks in Cooperation (imp:1.57) — A tendency to be pleasant, helpful, and willing to assist others at work. Adaptability (imp:1.44) — A tendency to be open to and comfortable with change, new experiences, or ideas Stress Tolerance (imp:1.43) — A tendency to cope and function effectively in stressful situations at work. Initiative (imp:1.35) — A tendency to be proactive and take on extra responsibilities and tasks that may Leadership Orientation (imp:1.26) — A tendency to lead, take charge, offer opinions, and provide direction at work. Innovation (imp:1.20) — A tendency to be inventive, to be imaginative, and to adopt new perspectives on Tolerance for Ambiguity (imp:1.20) — A tendency to be comfortable with ambiguity and uncertainty at work. Self-Control (imp:1.19) — A tendency to remain calm and composed and to manage emotions effectively in res Self-Confidence (imp:1.18) — A tendency to believe in one's work-related capabilities and ability to control Intellectual Curiosity (imp:1.00) — A tendency to seek out and acquire new work-related knowledge and obtain a deep Sincerity (imp:0.78) — A tendency to be genuine and sincere in interactions with others at work, withou Social Orientation (imp:0.68) — A tendency to seek out, enjoy, and be energized by social interaction at work. Humility (imp:0.58) — A tendency to be modest and humble when interacting with others at work. Empathy (imp:0.25) — A tendency to show concern for others and be sensitive to others' needs and feel Optimism (imp:0.22) — A tendency to exhibit a positive attitude and positive emotions at work, even un Innovation () — A tendency to be inventive, to be imaginative, and to adopt new perspectives on Achievement Orientation () — A tendency to establish and maintain personally challenging work-related goals, Tolerance for Ambiguity () — A tendency to be comfortable with ambiguity and uncertainty at work. Initiative () — A tendency to be proactive and take on extra responsibilities and tasks that may Adaptability () — A tendency to be open to and comfortable with change, new experiences, or ideas Self-Confidence () — A tendency to believe in one's work-related capabilities and ability to control Perseverance () — A tendency to exhibit determination and resolve to perform or complete tasks in Leadership Orientation () — A tendency to lead, take charge, offer opinions, and provide direction at work. Humility () — A tendency to be modest and humble when interacting with others at work. Sincerity () — A tendency to be genuine and sincere in interactions with others at work, withou Empathy () — A tendency to show concern for others and be sensitive to others' needs and feel Cooperation () — A tendency to be pleasant, helpful, and willing to assist others at work. Optimism () — A tendency to exhibit a positive attitude and positive emotions at work, even un Social Orientation () — A tendency to seek out, enjoy, and be energized by social interaction at work. Stress Tolerance () — A tendency to cope and function effectively in stressful situations at work. Self-Control () — A tendency to remain calm and composed and to manage emotions effectively in res --- TRANSFERABLE SKILLS --- Complex Problem Solving (imp:3.50 lvl:3.62) — Identifying complex problems and reviewing related information to develop and ev Coordination (imp:3.38 lvl:3.38) — Adjusting actions in relation to others' actions. Time Management (imp:3.38 lvl:3.50) — Managing one's own time and the time of others. Programming (imp:3.25 lvl:3.62) — Writing computer programs for various purposes. Judgment and Decision Making (imp:3.25 lvl:3.62) — Considering the relative costs and benefits of potential actions to choose the m Systems Analysis (imp:3.25 lvl:3.38) — Determining how a system should work and how changes in conditions, operations, Social Perceptiveness (imp:3.12 lvl:3.50) — Being aware of others' reactions and understanding why they react as they do. Systems Evaluation (imp:3.12 lvl:3.38) — Identifying measures or indicators of system performance and the actions needed Instructing (imp:3.00 lvl:3.75) — Teaching others how to do something. Management of Personnel Resources (imp:3.00 lvl:3.38) — Motivating, developing, and directing people as they work, identifying the best Persuasion (imp:2.75 lvl:2.62) — Persuading others to change their minds or behavior. Service Orientation (imp:2.75 lvl:2.62) — Actively looking for ways to help people. Operations Analysis (imp:2.75 lvl:3.38) — Analyzing needs and product requirements to create a design. Negotiation (imp:2.50 lvl:2.38) — Bringing others together and trying to reconcile differences. Quality Control Analysis (imp:2.50 lvl:2.50) — Conducting tests and inspections of products, services, or processes to evaluate Operations Monitoring (imp:2.12 lvl:2.00) — Watching gauges, dials, or other indicators to make sure a machine is working pr Equipment Selection (imp:1.88 lvl:1.50) — Determining the kind of tools and equipment needed to do a job. Management of Financial Resources (imp:1.88 lvl:1.25) — Determining how money will be spent to get the work done, and accounting for the Management of Material Resources (imp:1.88 lvl:1.50) — Obtaining and seeing to the appropriate use of equipment, facilities, and materi Technology Design (imp:1.75 lvl:1.38) — Generating or adapting equipment and technology to serve user needs. Operation and Control (imp:1.75 lvl:1.25) — Controlling operations of equipment or systems. Troubleshooting (imp:1.62 lvl:0.62) — Determining causes of operating errors and deciding what to do about it. Installation (imp:1.00) — Installing equipment, machines, wiring, or programs to meet specifications. Equipment Maintenance (imp:1.00) — Performing routine maintenance on equipment and determining when and what kind o Repairing (imp:1.00) — Repairing machines or systems using the needed tools.
--- NATIONAL WAGES --- total_employment : 262,440 annual_median : $120,230 annual_pct10 : $67,240 annual_pct25 : $85,660 annual_pct75 : $158,880 annual_pct90 : $199,130 annual_mean : $126,800 hourly_median : $57.80 --- GEOGRAPHIC DISPERSION --- highest_state : Washington ($163,350) lowest_state : Mississippi ($69,490) dispersion_ratio : 2.351x --- TOP STATES BY WAGE (50 total) --- Professional, Scientific, and Technical Services emp: 69,730 median: $ 126,730 Finance and Insurance emp: 46,730 median: $ 124,770 Information emp: 32,410 median: $ 141,440 Management of Companies and Enterprises emp: 28,620 median: $ 128,050 Administrative and Support and Waste Management and Remediation Services emp: 15,570 median: $ 100,790 Health Care and Social Assistance emp: 15,410 median: $ 98,030 Wholesale Trade emp: 11,710 median: $ 119,990 Manufacturing emp: 10,400 median: $ 117,680 Educational Services emp: 10,350 median: $ 83,830 Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp: 5,940 median: $ 100,970 --- TOP INDUSTRIES BY EMPLOYMENT (19 total) --- Professional, Scientific, and Technical Services emp: 69,730 median: $ 126,730 Finance and Insurance emp: 46,730 median: $ 124,770 Information emp: 32,410 median: $ 141,440 Management of Companies and Enterprises emp: 28,620 median: $ 128,050 Administrative and Support and Waste Management and Remediation Services emp: 15,570 median: $ 100,790 Health Care and Social Assistance emp: 15,410 median: $ 98,030 Wholesale Trade emp: 11,710 median: $ 119,990 Manufacturing emp: 10,400 median: $ 117,680 Educational Services emp: 10,350 median: $ 83,830 Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp: 5,940 median: $ 100,970
exact_match_status : found matched_title : Clinical data management match_score : 0.8696 wikidata_qid : Q5133825 word_count : 2,159 wikipedia_url : https://en.wikipedia.org/wiki/Clinical_data_management license : CC BY-SA 4.0 fetched_at : 2026-06-02T20:27:40.915923Z --- WIKIPEDIA FULL TEXT --- Clinical data management (CDM) is a critical process in clinical research, which leads to generation of high-quality, reliable, and statistically sound data from clinical trials. Clinical data management ensures collection, integration and availability of data at appropriate quality and cost. It also supports the conduct, management and analysis of studies across the spectrum of clinical research as defined by the National Institutes of Health (NIH). The ultimate goal of CDM is to ensure that conclusions drawn from research are well supported by the data. Achieving this goal protects public health and increases confidence in marketed therapeutics. == Role of the clinical data manager in a clinical trial == Job profile acceptable in CDM: clinical researcher, clinical research associate, clinical research coordinator etc. The clinical data manager plays a key role in the setup and conduct of a clinical trial. The data collected during a clinical trial form the basis of subsequent safety and efficacy analysis which in turn drive decision making on product development in the pharmaceutical industry. The clinical data manager is involved in early discussions about data collection options and then oversees development of data collection tools based on the clinical trial protocol. Once subject enrollment begins, the data manager ensures that data are collected, validated, complete, and consistent. The clinical data manager liaises with other data providers (e.g. a central laboratory processing blood samples collected) and ensures that such data are transmitted securely and are consistent with other data collected in the clinical trial. At the completion of the clinical trial, the clinical data manager ensures that all data expected to be captured have been accounted for and that all data management activities are complete. At this stage, the data are declared final (terminology varies, but common descriptions are "Database Lock", “Data Lock” and "Database Freeze"), and the clinical data manager transfers data for statistical analysis. == Pre-Requisites == === Standard operating procedures === Standard operating procedures (SOPs) describe the process to be followed in conducting data management activities and support the obligation to follow applicable laws and guidelines (e.g. ICH GCP and 21CFR Part 11) in the conduct of data management activities. === Data management plan === The data management plan describes the activities to be conducted in the course of processing data. Key topics to cover include the SOPs to be followed, the clinical data management system (CDMS) to be used, description of data sources, data handling processes, data transfer formats and process, and quality control procedure === Case report form design === The case report form (CRF) is the data collection tool for the clinical trial and can be paper or electronic. Paper CRFs will be printed, often using No Carbon Required paper, and shipped to the investigative sites conducting the clinical trial for completion after which they are couriered back to Data Management. Electronic CRFs enable data to be typed directly into fields using a computer and transmitted electronically to Data Management. Design of CRFs needs to take into account the information required to be collected by the clinical trial protocol and intended to be included in statistical analysis. Where available, standard CRF pages may be re-used for collection of data which is common across most clinical trials e.g. subject demographics. Apart from CRF design, electronic trial design also includes edit check programming. Edit checks are used to fire a query message when discrepant data is entered, to map certain data points from one CRF to the other, to calculate certain fields like Subject's Age, BMI etc.. Edit checks help the investigators to enter the right data right at the moment data is entered and also help in increasing the quality of the Clinical trial data. === Database design and build === For a clinical trial utilizing an electronic CRF, database design and CRF design are closely linked. The electronic CRF enables entry of data into an underlying relational database. For a clinical trial utilizing a paper CRF, the relational database is built separately. In both cases, the relational database allows entry of all data captured on the Case report form. === Computerized system validation === All computer systems used in the processing and management of clinical trial data must undergo validation testing to ensure that they perform as intended and that results are reproducible. === CDISC === The Clinical Data Interchange Standards Consortium leads the development of global, system independent data standards which are now commonly used as the underlying data structures for clinical trial data. These describe parameters such as the name, length and format of each data field (variable) in the relational database. === Validation rules === Validation Rules are electronic checks defined in advance which ensure the completeness and consistency of the clinical trial data. === User acceptance testing === Once an electronic CRF (eCRF) is built, the clinical data manager (and other parties as appropriate) conducts User Acceptance Testing (UAT). The tester enters test data into the e-CRF and record whether it functions as intended. UAT is performed until all the issues (if found) are resolved. == Active Phase == === Data entry === When an electronic CRF is in use, data entry is carried out at the investigative site where the clinical trial is conducted by site staff who have been granted appropriate access to do so. When using a paper CRF the pages are entered by data entry operators. Best practice is for a first pass data entry to be completed followed by a second pass or verification step by an independent operator. Any discrepancies between the first and second pass may be resolved such that the data entered is a true reflection of that recorded on the CRF. Where the operator is unable to read the entry the clinical data manager should be notified so that the entry may be clarified with the person who completed the CRF. === Data validation === Data validation is the application of validation rules to the data. For electronic CRFs the validation rules may be applied in real time at the point of entry. Offline validation may still be required (e.g. for cross checks between data types) === Data queries === Where data entered does not pass validation rules then a data query may be issued to the investigative site where the clinical trial is conducted to request clarification of the entry. Data queries must not be leading (i.e. they must not suggest the correction that should be made). For electronic CRFs only the site staff with appropriate access may modify data entries. For paper CRFs, the clinical data manager applies the data query response to the database and a copy of the data query is retained at the investigative site. When an item or variable has an error or a query raised against it, it is said to have a “discrepancy” or “query”. All EDC systems have a discrepancy management tool or also refer to “edit check” or “validation check” that is programmed using any known programming language (e.g. SAS, PL/SQL, C#, SQL, Python, etc). So what is a ‘query’? A query is an error generated when a validation check detects a problem with the data. Validation checks are run automatically whenever a page is saved “submitted” and can identify problems with a single variable, between two or more variables on the same eCRF page, or between variables on different pages. A variable can have multiple validation checks associated with it. Errors can be resolved in several ways: by correcting the error – entering a new value for example or when the datapoint is updated by marking the variable as correct – some EDC systems required additional response or you can raise a further query if you --- SEMANTIC NEIGHBORS (5) --- Title: SDTM (similarity: 0.2308) URL: https://en.wikipedia.org/wiki/SDTM QID: Q7389491 Extract: SDTM defines a standard structure for human clinical trial (study) data tabulations and for nonclinical study data tabulations that are to be submitted as part of a product application to a regulatory authority such as the United States Food and Drug Administration (FDA). The Submission Data Standar Title: Clinical trial (similarity: 0.5556) URL: https://en.wikipedia.org/wiki/Clinical_trial QID: Q30612 Extract: Clinical trials are prospective biomedical or behavioral research studies on human participants designed to answer specific questions about biomedical or behavioral interventions, including new treatments and known interventions that warrant further study and comparison. Clinical trials generate dat Title: Renaissance Computing Institute (similarity: 0.2264) URL: https://en.wikipedia.org/wiki/Renaissance_Computing_Institute QID: Q7312413 Extract: Renaissance Computing Institute (RENCI) was launched in 2004 as a collaboration involving the State of North Carolina, University of North Carolina at Chapel Hill (UNC-CH), Duke University, and North Carolina State University. RENCI is organizationally structured as a research institute within UNC-C Title: Healthcare in Kenya (similarity: 0.1951) URL: https://en.wikipedia.org/wiki/Healthcare_in_Kenya QID: Q5691279 Extract: Kenya's health care system is structured in a step-wise manner so that complicated cases are referred to a higher level. Gaps in the system are filled by private and church run units.Level 1 Community Health Units Level 2 Dispensaries and private clinics Level 3 Health centres Level 4 Sub-county h Title: Human brain (similarity: 0.2424) URL: https://en.wikipedia.org/wiki/Human_brain QID: Q492038 Extract: The human brain is the central organ of the nervous system, and with the spinal cord, comprises the central nervous system. It consists of the cerebrum, the brainstem and the cerebellum. The brain controls most of the activities of the body, processing, integrating, and coordinating the information
model_pass1 : claude-sonnet-4-20250514
model_pass2 : claude-haiku-4-5-20251001
inference_confidence : high
confidence_notes : Strong confidence supported by detailed O*NET data, Wikipedia exact match validation, clear wage data from BLS OEWS May 2025, and well-defined skill profiles. The occupation has distinct characteristics that differentiate it from adjacent roles.
inferred_at : 2026-06-03T14:20:54.035945+00:00
tokens_input : 4,518
tokens_output : 4,182
cost_usd : $0.045576
wikipedia_used : True
wikipedia_title : Clinical data management
wikipedia_note : Wikipedia confirms clinical data management as a critical process in clinical research focused on generating high-quality, reliable data from clinical trials. This aligns with the occupation's emphasis on data quality, validation, and supporting clinical research activities.
--- PROSE FIELDS ---
ROLE SUMMARY:
Clinical Data Managers apply knowledge of healthcare and database management to analyze clinical data from research studies and trials, ensuring data quality, integrity, and regulatory compliance. They design and validate clinical databases, process and verify clinical data, and generate reports to identify trends and resolve data quality issues. This role bridges healthcare knowledge with technical database expertise to support evidence-based medical research and regulatory submissions.
DAY IN THE LIFE:
A clinical data manager begins by reviewing overnight data uploads and running quality control audits to identify missing or inconsistent data entries. They design validation logic checks for new clinical databases and collaborate with research coordinators to define data collection requirements for upcoming trials. Much of the day involves processing clinical data entry, generating queries to resolve data discrepancies, and preparing formatted datasets for statistical analysis. They monitor compliance with standard operating procedures and prepare progress reports on data management activities. The role requires constant communication with clinical teams to clarify data requirements and ensure proper data handling protocols are followed.
WHO THRIVES:
Individuals who excel in this role possess strong analytical thinking combined with meticulous attention to detail, as evidenced by the high importance ratings for dependability (5.0) and attention to detail (4.0). They typically have a Conventional-Investigative personality profile, enjoying structured data work while also being curious about research outcomes. Success requires excellent written and oral communication skills to collaborate with clinical researchers and resolve data queries. Those who thrive appreciate working at the intersection of healthcare and technology, combining domain knowledge in medicine with technical database skills. The role suits detail-oriented professionals who find satisfaction in ensuring data accuracy and contributing to medical research advances.
CAREER ENTRY:
Entry into clinical data management typically requires a bachelor's degree (85% of professionals), often in life sciences, healthcare, statistics, or computer science fields. Many professionals gain initial experience through internships at pharmaceutical companies, contract research organizations (CROs), or academic medical centers. Some enter from related healthcare data roles or clinical research coordinator positions, leveraging their understanding of clinical workflows. Post-baccalaureate certificates in clinical data management or health informatics (5% of professionals) provide specialized preparation for those transitioning from other fields.
CAREER TRAJECTORY:
Clinical data managers can advance to senior data management roles, clinical data management directors, or specialize in areas like biostatistics or regulatory affairs. Many progress into clinical informatics management positions or transition to related analytical roles like biostatisticians or health informatics specialists. The strong foundation in both healthcare domain knowledge and data management creates pathways into data science, business intelligence analysis, or consulting roles within pharmaceutical and healthcare technology sectors. Senior professionals often move into director-level positions overseeing entire clinical data operations or transition to regulatory affairs roles.
MARKET INTELLIGENCE:
Clinical data management offers strong compensation with a median annual salary of $120,230 according to BLS OEWS May 2025, ranging from $67,240 to $199,130 across experience levels. The field shows robust employment of 262,440 professionals nationwide, driven by increasing clinical research activity and regulatory requirements for data quality. Geographic variation is significant, with Washington state offering the highest wages at $163,350 compared to Mississippi at $69,490, reflecting concentration in biotech and pharmaceutical hubs. Professional, Scientific, and Technical Services employs the largest share (69,730), followed by Finance and Insurance (46,730) and Information sectors (32,410). Growth prospects remain strong as healthcare digitization and precision medicine research expand data management needs.
AUTOMATION OUTLOOK:
Clinical data management faces moderate automation risk, particularly in routine data entry and basic validation tasks. However, the role's emphasis on complex problem solving (importance 3.5), critical thinking (4.0), and collaboration with clinical teams provides protection against automation. The need for domain expertise in medicine and regulatory compliance, combined with requirements for nuanced decision-making about data quality issues, ensures continued human oversight in clinical data management workflows.
--- REASONED EDGES ---
[knowledge_overlap] Health Informatics Specialists (15-1211.01) — confidence:high
reasoning: Both roles require strong computers and electronics knowledge (4.8 level) and medicine/healthcare domain expertise for healthcare data systems.
data: Computers and Electronics knowledge level 4.8
data: Medicine and Dentistry knowledge
data: Healthcare data focus
[skill_overlap] Data Scientists (15-2051.00) — confidence:high
reasoning: Shared emphasis on critical thinking (4.0 importance), mathematics skills, and data processing activities (4.5 importance).
data: Critical Thinking importance 4.0
data: Processing Information importance 4.5
data: Mathematics knowledge
[career_pathway] Clinical Research Coordinators (11-9121.01) — confidence:high
reasoning: Clinical research coordinators often transition to data management roles, sharing healthcare domain knowledge and research experience.
data: Medicine and Dentistry knowledge overlap
data: Clinical research context
data: Healthcare industry focus
[task_similarity] Biostatisticians (15-2041.01) — confidence:medium
reasoning: Both roles involve statistical analysis of clinical data and require strong mathematics knowledge (3.9 level) and analytical abilities.
data: Mathematics knowledge level 3.9
data: Clinical data analysis
data: Statistical reporting tasks
[transferable_skill] Business Intelligence Analysts (15-2051.01) — confidence:medium
reasoning: Shared database management skills, data analysis capabilities, and reporting functions with similar technical skill requirements.
data: Working with Computers importance 4.7
data: Database management skills
data: Information processing abilities
--- NORMALIZER SIGNALS ---
match_keywords : ['clinical data manager', 'clinical data management', 'cdm manager', 'clinical database', 'clinical data analyst', 'clinical informatics', 'data management', 'clinical trials data']
exclude_keywords : ['clinical research coordinator', 'biostatistician', 'data scientist', 'health informatics', 'database administrator']
title_patterns : ['Clinical Data Manager', 'CDM Manager', 'Clinical Data Analyst', 'Clinical Database Manager', 'Clinical Data Coordinator']
common_variations: ['clinical data management', 'cdm', 'clinical database management', 'clinical data systems', 'medical data management', 'healthcare data management', 'clinical informatics', 'clinical data operations']
total_terms : 40 top_words : ['clinical', 'management', 'others', 'tendency', 'trial', 'quality', 'equipment', 'research', 'design', 'procedures', 'validation', 'electronic', 'activities', 'crf', 'entry', 'database', 'analysis', 'control', 'principles', 'standards'] source_layers : onet_tasks | onet_dimensions | dwas | wikipedia | inference TERM COUNT FREQ DOMINANT SOURCE SOURCE BREAKDOWN ────────────────────────────────────────────────────────────────────────────────────────── clinical 101 0.02623 wikipedia wikipedia:67% inference:26% onet_tasks:7% management 65 0.01688 wikipedia wikipedia:62% inference:20% onet_dimensions:11% others 42 0.01091 onet_dimensions onet_dimensions:90% dwas:10% tendency 42 0.01091 onet_dimensions onet_dimensions:100% trial 25 0.00649 wikipedia wikipedia:100% quality 24 0.00623 inference inference:29% onet_dimensions:25% wikipedia:25% equipment 23 0.00597 onet_dimensions onet_dimensions:100% research 22 0.00571 inference inference:50% wikipedia:41% onet_tasks:5% design 19 0.00493 wikipedia wikipedia:37% onet_dimensions:32% onet_tasks:11% procedures 19 0.00493 onet_dimensions onet_dimensions:42% dwas:26% onet_tasks:16% validation 18 0.00467 wikipedia wikipedia:78% inference:17% onet_tasks:6% electronic 18 0.00467 wikipedia wikipedia:61% onet_dimensions:28% onet_tasks:6% activities 18 0.00467 onet_dimensions onet_dimensions:50% wikipedia:33% inference:11% crf 18 0.00467 wikipedia wikipedia:100% entry 16 0.00415 wikipedia wikipedia:62% inference:19% onet_tasks:12% database 16 0.00415 wikipedia wikipedia:69% inference:19% onet_tasks:12% analysis 16 0.00415 wikipedia wikipedia:44% onet_dimensions:25% dwas:12% control 16 0.00415 onet_dimensions onet_dimensions:75% wikipedia:12% onet_tasks:6% principles 16 0.00415 onet_dimensions onet_dimensions:100% standards 15 0.00390 onet_dimensions onet_dimensions:53% wikipedia:47% manager 15 0.00390 wikipedia wikipedia:93% inference:7% includes 14 0.00364 onet_dimensions onet_dimensions:86% wikipedia:14% rules 13 0.00338 onet_dimensions onet_dimensions:62% wikipedia:38% problems 12 0.00312 onet_dimensions onet_dimensions:75% onet_tasks:8% dwas:8% processing 12 0.00312 wikipedia wikipedia:42% onet_dimensions:33% onet_tasks:8% human 12 0.00312 onet_dimensions onet_dimensions:58% wikipedia:33% inference:8% objects 12 0.00312 onet_dimensions onet_dimensions:100% body 12 0.00312 onet_dimensions onet_dimensions:83% wikipedia:17% appropriate 11 0.00286 onet_dimensions onet_dimensions:45% wikipedia:36% onet_tasks:18% needs 11 0.00286 onet_dimensions onet_dimensions:73% onet_tasks:9% wikipedia:9% ideas 11 0.00286 onet_dimensions onet_dimensions:100% queries 10 0.00260 wikipedia wikipedia:70% inference:20% onet_tasks:10% technical 10 0.00260 onet_tasks onet_tasks:30% onet_dimensions:30% inference:30% technology 10 0.00260 onet_dimensions onet_dimensions:40% onet_tasks:20% dwas:20% regulatory 10 0.00260 inference inference:60% wikipedia:30% onet_tasks:10% techniques 10 0.00260 onet_dimensions onet_dimensions:100% health 10 0.00260 wikipedia wikipedia:60% inference:20% onet_dimensions:10% materials 10 0.00260 onet_dimensions onet_dimensions:100% events 10 0.00260 onet_dimensions onet_dimensions:80% wikipedia:20% quickly 10 0.00260 onet_dimensions onet_dimensions:90% wikipedia:10%