Information Quality

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Master of Science in Information Quality

The Master of Science in Information Quality degree is offered through the Department of Information Science and is designed to prepare students for careers in industry and government as well as advanced graduate studies. The curriculum is designed to balance information quality theory with industry best practices using state-of-the-art tools and technology. The curriculum is based on the Model Curriculum and Guidelines for Graduate Degree Programs in Information Systems endorsed by the Association for Computing Machinery (ACM) and Association for Information Systems (AIS). The course content has been developed with the support of the Massachusetts Institute of Technology Information Quality Program, based at the MIT Center for Technology, Policy, and Industrial Development, and with additional help from leading practitioners and researchers within the information quality community. The program is accessible to both day and evening students and both full-time and part-time students. In addition, a distance education option allows students to participate in the program via live webcasting.

For more information, please visit the program’s website and the LinkedIn Group “UALR Information Quality Graduate Program.”

Admission Requirements

    • Baccalaureate degree in information science, computer science, computer information systems, management, or a related discipline from an accredited institution.
    • Cumulative grade point average of at least 3.0 on a 4.0 scale.
      Graduate Record Examination (GRE) general test section or Graduate Management Admission Test (GMAT) scores. For regular admission, applicants should have a minimum GRE Verbal Reasoning score of 142, a minimum GRE Quantitative Reasoning Score of 142, (minimum Total Score of 297),and the GRE Analytical Writing Score of at least 3.0 or a GMAT Score of at least 420. The GRE/GMAT requirement is waived for applicants who have completed the UALR Graduate Certificate Program with a GPA of 3.5 or higher.
    • Statement of Interest
    • Resume
    • Completion of any remedial course work that may be specified by the department; in particular, all students seeking regular admission to the program are expected to have completed (with a grade of B or better in each course) undergraduate course work equivalent to the following UALR undergraduate courses:

IFSC 2300 Object-oriented Software
IFSC 3320 Database Concepts
STAT 2350 Introduction to Statistical Methods

  • Waiver of any or all of these prerequisite courses is at the discretion of the Information Quality Graduate Committee.

Program Requirements

There are two curriculum options within the Master of Science in Information quality degree program, a Thesis Option and a Project Option.

Thesis Option

Thirty-three (33) credit hours, consisting of 27 hours of course work plus a minimum of 6 credit hours of INFQ 7198, 7298, 7398, 7498, 7598, or 7698, Thesis. Total thesis credits exceeding the minimum will not be count towards minimum course requirements.

Project Option

Thirty-three (33) credit hours, consisting 27 hours of course work plus of one of the following sub-options:

INFQ 7686 Graduate Project
INFQ 7386 Graduate Project (repeated over two semesters)

    Minimum of three credits of INFQ 7191, 7291, or 7391 Cooperative Education in Information Quality followed by INFQ 7386 Graduate Project.

To be eligible to enroll in thesis, project, or cooperative education courses, a student must first meet the following requirements:

  • Have completed at least 9 hours of required or elective program course work.
  • Be in good standing in the program.
  • In the case of the Thesis Option, successfully defend a thesis proposal to his or her thesis committee.
  • In the case of the Project option, has secured a faculty advisor, an external project sponsor, and has a project plan approved by the MSIQ program committee.

In addition to the above requirements, a student approved to enroll in thesis hours must continue to enroll in at least 3 hours of thesis hours each semester (fall, spring, and summer I) until he or she has successfully defended his or her thesis. Similarly, a student approved to enroll in project hours must continue to enroll in at least 3 hours of project hours each semester (fall, spring, and summer I) until he or she has successfully defended his or her project. Exceptions to this policy will be granted only in cases of significant hardship. Exceptions must be requested in writing and approved by the student’s thesis or project advisor and the graduate coordinator.


Core Requirements

All students must take the following seven courses (21 credit hours):

Information Quality Courses

INFQ 7303 Principles of Information Quality
INFQ 7322 Information Quality Theory
INFQ 7342 Information Quality Tools and Industry Landscape
INFQ 7367 Information Quality Policy and Strategy

Information Science Courses

IFSC 5345 Information Visualization
IFSC 7310 Information Systems Analysis
IFSC 7320 Database Systems

Electives

One graduate course with an INFQ prefix such as:

INFQ 7318 TQM and Statistical Quality Control
INFQ 7337 Project and Change Management
INFQ 7348 Entity Resolution and Information Quality
INFQ 7353 Case Studies for Information Quality Professionals

One Course from the following list without the INFQ prefix such as:

IFSC 5325 Data Mining Concepts and Techniques
IFSC 5330 Database Security
IFSC 5339 Network Security
IFSC 5399 Special Topics (Title will vary)
IFSC 7321 Information Science and Theory
IFSC 7325 Advanced Data Mining
IFSC 7330 Information Systems Security
IFSC 7331 Network Science
IFSC 7350 Electronic Commerce
IFSC 7360 Data Protection and Privacy
IFSC 7399 Special Topics (Title will vary)
MGMT 7308 Advanced Business Communication
MGMT 7312 Team Development

Other with approval of Graduate Coordinator


Graduate Certificate in Information Quality

The Graduate Certificate in Information Quality program consists of 12 graduate credits, which may be completed in the evenings or online. This certificate will provide individuals with a focused collection of coursework in the information quality area. The program is designed for post-baccalaureate students and working professionals who are interested in moving into information quality leadership roles within their organizations or in preparation for entering master’s programs. The program is accessible to both day and evening students and both full-time and part-time students. In addition, a distance education option allows students to participate in the program via live webcasting.

Admission Requirements

A bachelor’s degree from an accredited institution with an overall GPA of at least 3.0 (4.0 scale). Candidates who have a background in computer programming, database concepts, and applied statistics or who have professional experience in any information quality role will be the most prepared to enter and successfully complete the certificate program.

Completion of any remedial course work that may be specified by the department for the certificate program. Students seeking regular admission to the certificate program are expected to have completed (with a grade of B or better in each course) course work or to have professional experience equivalent to the following UALR courses:

IFSC 2300 Object-oriented Technology
IFSC 3320 Database Concepts
STAT 2350 Introduction to Statistical Methods

The GMAT or GRE exams are not required.

Program Requirements

There are two curriculum options within the Master of Science in Information quality degree program, a Thesis Option and a Project Option.

  1. Thesis Option: Thirty-three (33) credit hours, consisting of 27 hours of course work plus a minimum of 6 credit hours of INFQ 7198, 7298, 7398, 7498, 7598, or 7698, Thesis. Total thesis credits exceeding the minimum will not be count towards minimum course requirements.
  2. Project Option: Thirty-three (33) credit hours, consisting 27 hours of course work plus of one of the following sub-options:

INFQ 7686 Graduate Project
INFQ 7386 Graduate Project

    (repeated over two semesters)

Minimum of three credits of INFQ 7191, 7291, or 7391 Cooperative Education in Information Quality followed by INFQ 7386 Graduate Project.

To be eligible to enroll in thesis, project, or cooperative education courses, a student must first meet the following requirements:

  • Have completed at least 9 hours of required or elective program course work.
  • Be in good standing in the program.
  • In the case of the Thesis Option, successfully defend a thesis proposal to his or her thesis committee.
  • In the case of the Project option, has secured a faculty advisor, an external project sponsor, and has a project plan approved by the MSIQ program committee.

In addition to the above requirements, a student approved to enroll in thesis hours must continue to enroll in at least 3 hours of thesis hours each semester (fall, spring, and summer I) until he or she has successfully defended his or her thesis. Similarly, a student approved to enroll in project hours must continue to enroll in at least 3 hours of project hours each semester (fall, spring, and summer I) until he or she has successfully defended his or her project. Exceptions to this policy will be granted only in cases of significant hardship. Exceptions must be requested in writing and approved by the student’s thesis or project advisor and the graduate coordinator.

Information Quality

Core Requirements

All students must take the following seven courses (21 credit hours):

Information Quality Courses

INFQ 7303 Principles of Information Quality
INFQ 7322 Information Quality Theory
INFQ 7342 Information Quality Tools and Industry Landscape
INFQ 7367 Information Quality Policy and Strategy

Information Science Courses

IFSC 5345 Information Visualization
IFSC 7310 Information Systems Analysis
IFSC 7320 Database Systems

Electives

One graduate course with an INFQ prefix such as:

INFQ 7318 TQM and Statistical Quality Control
INFQ 7337 Project and Change Management
INFQ 7348 Entity Resolution and Information Quality
INFQ 7353 Case Studies for Information Quality Professionals

One Course from the following list without the INFQ prefix such as:

IFSC 5325 Data Mining Concepts and Techniques
IFSC 5330 Database Security
IFSC 5339 Network Security
IFSC 5399 Special Topics (Title will vary)
IFSC 7321 Information Science and Theory
IFSC 7325 Advanced Data Mining
IFSC 7330 Information Systems Security
IFSC 7331 Network Science
IFSC 7350 Electronic Commerce
IFSC 7360 Data Protection and Privacy
IFSC 7399 Special Topics (Title will vary)
MGMT 7308 Advanced Business Communication
MGMT 7312 Team Development
Other with approval of Graduate Coordinator


Graduate Certificate in Information Quality

The Graduate Certificate in Information Quality program consists of 12 graduate credits, which may be completed in the evenings or online. This certificate will provide individuals with a focused collection of coursework in the information quality area. The program is designed for post-baccalaureate students and working professionals who are interested in moving into information quality leadership roles within their organizations or in preparation for entering master’s programs. The program is accessible to both day and evening students and both full-time and part-time students. In addition, a distance education option allows students to participate in the program via live webcasting.

Admission Requirements

A bachelor’s degree from an accredited institution with an overall GPA of at least 3.0 (4.0 scale). Candidates who have a background in computer programming, database concepts, and applied statistics or who have professional experience in any information quality role will be the most prepared to enter and successfully complete the certificate program.

Completion of any remedial course work that may be specified by the department for the certificate program. Students seeking regular admission to the certificate program are expected to have completed (with a grade of B or better in each course) course work or to have professional experience equivalent to the following UALR courses:

IFSC 2300 Object-oriented Technology
IFSC 3320 Database Concepts
STAT 2350 Introduction to Statistical Methods

The GMAT or GRE exams are not required.

Program Requirements

The Graduate Certificate in Information Quality consists of 12 hours of coursework as follows:

Required Core Courses (9 hours)

INFQ 7303 Principles of Information Quality
INFQ 7342 Information Quality Tools & Industry Landscape
INFQ 7367 Information Quality Policy and Strategy

Elective Courses (3-hours-Select one course)

INFQ 7318 Total Quality Management & Statistical Quality Control
INFQ 7322 Information Quality Theory
INFQ 7337 Project and Change Management
INFQ 7353 Case Studies for Information Quality Professionals

Additional Requirements
  • Graduates of the certificate program with a 3.5 GPA can apply to the MSIQ program without a GMAT or GRE requirement, but students are advised that all other admission criteria to the MSIQ program apply, including deficiency work.
  • Concurrent enrollment in the IQ Graduate Certificate and the MSIQ program is permitted (i.e., MSIQ students are eligible to receive certificates upon completion of the appropriate subsection of the MSIQ curriculum).
  • Students in the IQ Graduate Certificate program must apply to the UALR Graduate School at ualr.edu/gradschool/prospectivestudents.asp. The Certificate program code is INFQ-GC.

For more information about the Graduate Certificate in Information Quality, contact the program coordinator.

Substitution of Core Requirements

The Information Quality Graduate Committee may substitute other graduate-level courses in Information Quality or Information Science for up to six hours of the core requirements if in the Committee’s opinion, an entering student has already completed the same level of work prescribed for that core course or courses through previous academic work or professional experience. Overall course substitution for previous work is limited to a total of 12 hours.

Graduate Assistantships

A limited number of graduate assistantships are available. Contact the program coordinator for more information.

Graduation Requirements

  • Cumulative GPA of at least 3.0 in the approved program of study as outlined above
  • Successful completion of one of the program options

Distance Education Option

The program offers a distance education option that permits students to participate in classes via a broad-band Internet connection. Students attending class online will be able to see the course materials presented in the on-campus classroom and participate in discussions with the other students on-campus and online. Classes are recorded so that students can replay previous class meetings. The transcript of students completing the program through the distance education option will appear the same as those completing the program on-campus.

All students in the program can take advantage of the webcasting of classes; the distance education option is primarily for remote students, i.e. students who because of distance or other circumstances cannot attend on-campus classes on a regular basis.

Notwithstanding, all major examinations must be taken in person. Examinations for local students are administered in the campus classroom by the instructor. Examinations for remote students must be administered by an approved proctor. Because all students must present their final theses or project reports in person to the Information Quality Graduate Committee as a requirement for graduation from the program, remote students must be prepared to make at least one visit to the UALR campus in order to complete their degree requirements.


Courses in Information Quality

INFQ 7191, 7291, 7391 Cooperative Education in Information Quality
Prerequisite: Graduate standing and approval of assignment by the faculty sponsor and the graduate coordinator. Complements and extends the classroom experience by allowing the student to apply the concepts of information quality improvement in the work place. The exact number of hours per week, activities, and responsibilities of the work are dependent on the nature of the work experience and must be specified in written agreements coordinated with the UALR Office of Cooperative Education between the student, the sponsoring faculty member, and the employer. At a minimum, a written report and 12 hours per week for a 3 credit hour semester course, 8 hours per week for a 2 credit hour semester course, and 4 hours per week for a 1 credit hour semester course with the participating employer are required. The course may be repeated for credit. The course cannot be used for credit toward the requirements for the Masters in Information Quality degree without the special approval from the MSIQ Graduate Coordinator.

INFQ 7300 Independent Study
Prerequisite: graduate standing and consent of the instructor. Independent study in Information Quality is given under the direction of a faculty member. The different topics for independent study can be, but not limited to: Research and Reading, Information Quality Software Development, Research Project on Information Quality, etc. as long as the topic is not offered in regularly scheduled course offerings. Upon the completion of the course, the student is typically required to submit a written report with content and quality comparable that required for a conference or journal such as the International Conference in Information Quality or the ACM Journal of Data and Information Quality. Written proposal and final product required. No more than three hours may count toward concentration requirements. Additional hours may fulfill cognate requirements. May be repeated once for degree credit.

INFQ 7303 Principles of Information Quality
Prerequisites: IFSC 2300 or equivalent. This course provides a rigorous exploration of information quality concepts, assessment, and problems in organizational information systems, databases and data warehouses. A combination of state of the art literature review and hands-on projects is used to develop knowledge and ability to meet objectives. Three hours lecture. Three credit hours.

INFQ 7318 Total Quality Management and Statistical Quality Control
Prerequisites: STAT 2350 or equivalent. This course provides an understanding of how the concepts and techniques of Total Quality Management may be applied to information products. Topics include continuous improvement strategies, statistical process control, experimental design, capability analysis, quality cost assessments, benchmarking, acceptance testing, and auditing. Three hours lecture. Three credit hours.

INFQ 7322 Information Quality Theory
Prerequisite: INFQ 7303. This course is designed to provide students with the theoretical foundations critical for developing a deep understanding of the state-of-the-art information quality research from the technical, organizational and strategic perspectives. This course will prepare students to work on their thesis, project and conduct research in the field of information quality. More specifically, students will be exposed to concepts, principles, tools and models and techniques that are essential for information quality definitions, measurement, analysis and improvements. Additionally, students will be exposed to most current, cutting-edge research that goes beyond current industry practice in information quality. Three hours lecture. Three credit hours.

INFQ 7337 Project and Change Management
Prerequisites: INFQ 7303. A course on how to manage information quality improvement projects within an organizational context, including the processes related to initiating, planning, executing, controlling, reporting, and closing a project. Additional topics include identifying project champions, working with user teams, training, documentation, project integration, scope, time, cost-benefit studies, risk analysis, and change management. Three hours lecture. Three credit hours

INFQ 7342 Information Quality Tools and Industry Landscape
This course is designed to develop and increase capability and skills that students need to critically understand what IQ software tools, techniques and prototypes are currently used in industry, government and research laboratories. The course will prepare students to make software tool recommendations on corporate data quality programs. Students will conduct a survey of academic literature and industry practices in terms of IQ tools such as data cleansing, profiling, and auditing and will participate in a hands-on workshop on commercial IQ tools from participating vendors in the field. Two hours lecture and three hours lab per week. Three credit hours.

INFQ 7348 Entity Resolution and IQ
Prerequisite: INFQ 7342 or consent of instructor. An examination of the theory and practice of entity resolution (ER), and the relationship between ER and information quality. Topics include the primary activities of ER, the major ER system architectures, methods and techniques for determining reference equivalence, major theoretical models for ER, entity-based data integration, ER case studies, and hand-on ER exercises with commercial and open-source ER tools.

INFQ 7353 Case Studies for Information Quality Professionals
Prerequisites: INFQ 7322 and INFQ 7342. This intensive and interactive course is designed to develop and increase the student’s capability and skills to critically understand what constitutes data quality, how to analyze and solve data quality problems, and how to institutionalize data quality projects in an organization where data quality is not the most critical priority. Three hours lecture. Three credit hours

INFQ 7367 Information Quality Policy and Strategy
Prerequisite: INFQ 7322. This course explores the top management, strategic perspective for aligning competitive strategy, core competencies, and information quality. Topics include the development and implementation of IQ policies and plans to achieve organizational goals; how to define systems that support the operational, administrative, and strategic IQ needs of the organization, its business units, and individual employees; approaches to managing technology and the information systems function in organizations, role of the CIO. Three hours lecture. Three credit hours.

INFQ 7386, 7686 Graduate Project
Prerequisites: Graduate standing and consent of the student’s graduate advisor. Students, under faculty supervision, will conduct directed research on a particular problem or area of information quality and will produce reports and other deliverables appropriate to the project. 7386 may be repeated over two semesters.

INFQ 7399 Special Topics
Prerequisite: graduate standing and consent of instructor. The course explores on an experimental or temporary basis advanced topics in information quality not included in the established curriculum. Content, subtitle, organization change each time offered, based on interest.

INFQ 7198-7698 Thesis
Prerequisite: Consent of thesis advisor. Student’s should have completed at least 15 hours of the program core, or have had substantial professional experience in information quality management.


Courses in Information Science

IFSC 5199,5299,5399 Special Topics
Advanced, specialized topics of current interest in information science. May be repeated for no more than 12 hours of credit. One, two, three or four credit hours.

IFSC 5325 Data Mining Concepts and Techniques
Prerequisites: IFSC 4325: IFSC 3330 or equivalent or consent of instructor and Graduate status for IFSC 5325. This course provides in-depth, practical coverage of essential data mining topics, including OLAP and data warehousing, data preprocessing, concept descriptions, association rules, classification and predication, and cluster analysis. It addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. Three hours lecture. Three credit hours.

IFSC 5330 Database Security
Prerequisite: IFSC 3330 or equivalent or consent of the instructor. Focus on security issues in databases systems and introduction of how current and future commercial systems may be designed to ensure secrecy and confidentiality. Topics include security models, basic security mechanisms and software, statistical database security, intrusion detection, security models for next generation databases, tested techniques and proven strategies for securing an Oracle environment — from the operating system to the database to the network, and how to implement security using Oracle’s built-in tools. Three hours lecture. Three credit hours.

IFSC 5339 Network Security
Prerequisite: MATH 1304 or equivalent and IFSC 3315 or CPSC 4384 or SYEN 3332 or MGMT 4310 or consent of the instructor. This course provides students with a concise and in-depth overview of security issues in current computer networks. It first gives a brief introduction of cryptographic algorithms and protocols underlying network security applications, including encryption, hash function, public key algorithm, digital signatures, and key exchanges. Then, it focuses on the security issues in current computer networks as well as network security tools and applications, including Kerberos, X.509v3 certificates, PGP, S/MIME, IP security, SSL/TLS, SET, and SNMPv3. The course will cover network intrusion-detection techniques and systems. Three hours lecture. Three credit hours.

IFSC 5345 Information Visualization
Prerequisites: MATH 1451 and IFSC 2300. The design and presentation of information. Use of graphics, animation, sound, visualization software, and hypermedia in helping users understand information. Methods of presenting complex information to enhance comprehension and analysis. Incorporation of visualization techniques into human-computer interfaces. Three hours lecture. Three credit hours.

IFSC 5360 Social Computing
Prerequisite: IFSC 1310 and IFSC 2300, or equivalent, or consent of Instructor. A hands-on course focusing on concepts of the social and information networks, Web as graph, models (such as Power law distribution, scale-free models, preferential attachment models, etc.) that simulate behavioral characteristics of these graphs, basic graph theoretical concepts, characteristics of social media and Web 2.0 or the Social Web (such as blogs, microblogging, social friendship networks, social bookmarking, social news, social media sharing, wikis, etc.), understanding and developing API and mashups, issues and challenges in data crawling and web analytics, network data visualization, exposure to information extraction and retrieval concepts aiming at the highly dynamic and noisy nature of social media, harnessing the collective and web intelligence, and basic concepts of cloud computing. Three lecture hours. Three credit hours.

IFSC 7101 Research Methodology
Prerequisite: Graduate standing. A one-credit course in a set of three, introducing students to the research methodology of doctoral level research in the Integrated Computing field. Research examples will be drawn from work that exemplifies the interconnecting research opportunities across the Integrated Computing discipline.

IFSC 7102 Research Tools
Prerequisite: Graduate standing. A one-credit course in a set of three, introducing students to the research tools of doctoral level research in the Integrated Computing field. Research examples will be drawn from work that exemplifies the interconnecting research opportunities across the Integrated Computing discipline.

IFSC 7192 Graduate Seminar
Prerequisites: Graduate standing, consent of graduate coordinator. Students, faculty, and invited speakers will present discuss and exchange ideas on research topics of general interest to the graduate programs in the EIT college. One-hour session per week. Course may be repeated for credit. Graded: credit/no credit.

IFSC 7310 Information Systems Analysis
Methods of problem identification and definition, data collection and measurement, feasibility study methods, work measurement techniques, task analysis, simulation studies, impact analysis, evaluation methods, forms and display design, proposal writing, documentation and programming standards, design strategies, documentation, and evaluation. (3 credits)

IFSC 7320 Database Systems
The course covers two major areas. It first introduces principles and methodologies of database design, and basic techniques for database development. Then it introduces the fundamentals of information architecture and helps students understand how information architecture acts as the supporting structure aligning application design, technology, and business goals.

IFSC 7321 Information Science: Principles and Theory
Prerequisite: Graduate Standing. This course surveys the major topics in information science including a discussion of entropy, value strategies, security, extraction, and emission of information. Three credit hours.

IFSC 7325 Advanced Data Mining Applications
Prerequisites: IFSC 4325 or equivalent. This is an advanced course on data mining. The focus will be on new data mining techniques and their applications in health information systems, text mining and biological data mining. The course will include presentations and discussions of research papers and projects closely related to topics in data mining. The research papers will be selected from the course supplementary materials and consists of recently published topics on data mining and their applications. Three credit hours.

IFSC 7330 Information Systems Security
Prerequisite: MATH 2310 or equivalent, and IFSC 3320 or equivalent. This course aims at providing a solid theoretical foundation in Information Systems Security, including both Computer Security and Communications Security. The security issues in information systems as well as techniques for ensuring information systems security will be studied. The course will focus on the study of security policies, models, and mechanisms for secrecy, integrity, and availability. The basic principles of information systems security will be discussed, including basic crypotography and its applications, security in computer networks and distributed systems, access control models and mechanisms for database security, multilevel database security, stenography, Internet security, and control and prevention of viruses and other rogue programs.

IFSC 7331 Network Science
Study of network representations of physical, biological, and social phenomena leading to predictive models. This course will focus on the graph-theoretical, statistical and algorithmic foundations of network science. The course is designed for an interdisciplinary graduate audience with an information or computational science or engineering background, or by consent of the instructor. Three hours lecture. Three credit hours

IFSC 7350 Electronic Commerce
Prerequisite: Doctoral-level standing by student or consent of instructor. Seminar style course designed for doctoral level student to be able to explore jointly the field of electronic commerce theoretically, conceptually and through applications including electronic markets, strategy, business models, impacts of information and communication technologies, organization and social behavior, as well as selected economic perspectives.

IFSC 7360 Data Protection and Privacy
This course considers the current status of data, information and privacy protection policies, laws and technologies. At the core is the variety of issues concerning informational privacy, i.e. the gathering, creating, storing, use and protection of information and data about individuals. Topics include the economics of data and privacy protection vis-a-vis the right of access to information, control, ownership, free flow, accuracy and use of information; commercial uses of personal information such as data mining and other marketing techniques, as well as the roles of government and the private sector in this setting. Newer information technologies, data mining, security measures, genetic tests and biobanks worldwide have raised important issues and questions.

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