PT / Making Sense of Data / Course Programme
COURSE OUTLINE – DATA: COLLECTION, COMMENTARY, MEASUREMENT AND REPORTING (1-day workshop)
PART 1: Data Collection: Commentary, Measurement and Reporting
This session provides a core foundation of understanding and training. This course is relevant and appropriate to all participants and will ensure an interactive and dynamic environment that supports learning and engagement
Overview and discussion of the definitions, value and measurement of data. This session will provide a foundation for subsequent discussion and give participants to engage in interactive discussion and practical activities to enhance their understanding.
Building upon the initial session, participants will engage with data further and develop their ability to incorporate, examine and analyse. This session will focus on stating facts, interpreting data and making claims.
Participants will engage in interactive discussion and practical exercises to more fully understand how to explain and comment on data. The session will include making weak and strong claims; commentary; hedging and the use of expressions. Over the course of this session, participants will engage with the language and design of data explanation.
This workshop will discuss best practice and develop techniques for data reporting. Following on from previous sessions, participants will use practical examples to enhance understanding and capability. The session will cover the language use for data reporting; acknowledging limitations; and presenting analysis in a relevant and transparent way.
Following on from Day 1, participants will have the opportunity to engage with the subject matter on a more in-depth level and take part in sessions with a direct focus and connection to their professional and academic areas of activity.
PART 2: Data Management for Decision Making
This session will discuss the value of data and address the barriers that prevent its full integration in decision making. The workshop will examine and discuss mechanisms for data collection that promote relevant and useful results reaching the decision makers; and identify key techniques for both the collection and dissemination of data.
The ability to make effective decisions relies on timely and relevant data. This session will explore the value of data, in the context of the UAE and further afield, to establish an understanding of the key constraints, obstacles and possible responses that we face in our organisations today.
This session will explore the means by which data is collected and used in organisations. An overwhelming amount of data is collected on a daily basis but not all of it is used, or even useful. The session will draw on practical examples to enhance capability in developing successful collection methods that lead to valuable data underpinning decision making.
Despite the prevalence of data, organisations still cite the biggest barrier to data-based decision making as the availability of data and the quality of data. This session will explore the need for better processes to capture, collect and govern data.
This session will outline the importance of data dissemination; the role we play in the process and the key components we should consider. The session will focus on practical issues such as identifying the target audience for data and designing the dissemination process accordingly.
PART 3: Data for Academics/Consultants
This session is designed to provide an in-depth focus that supports practical use of data management techniques and skills in daily professional and academic life. The course will support the use of data in research projects and discuss key issues of research integrity, data usage and the value of design to support activity and findings.
This session will examine the process through which data is reviewed and analysed, in order to support informed conclusions and action. The interpretation of data assigns meaning to findings and therefore has a significant impact on outcomes and recommendations. The session will draw on practical case studies to discuss the challenges and responses that participants should be aware of.
This session will draw on practical examples and participant engagement to discuss the core issues of research ethics and confidentiality. The session will be grounded in the need for awareness of context and the importance of each researcher/consultant to be aware of local and international concerns. The session will provide practical examples to support understanding and planning tasks.
This session will outline the process for developing a research design that firmly takes into account data collection and management. The session will draw upon practical case study examples to demonstrate the need for an appropriate research design to be used that doesn’t compromise the integrity of the data collected, or the subsequent findings and recommendations. All projects deal with the issue of incomplete data but the design process must be robust to protect, and make use of what can be collected.
The reporting of research data should be an objective process but can often be driven by motivations other than the development of factual knowledge. Projects are funded and motivated accordingly and therefore, there is an absolute necessity for the processes of reporting research data, to be as clear and coherent as possible. This session will discuss practical, ethical and operational techniques that can be used to protect the integrity of the researcher and of the findings.
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Email: [email protected]
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