It's a Data Science course at the PHD level. The assignment file is called "activity7.docx" The "scholarly_Reference_from_school_library_activity7.pdf" is to be used as one of the required references...

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1. Ans)
Data democratization refers to the process of making data more accessible and available to a wider group of people, with the aim of empowering them to make data-driven decisions. In the context of research, data democratization can be crucial in enabling multiple researchers to access and analyze datasets, leading to a more collaborative and transparent research process. Here are some best practices to consider when implementing data democratization in any research:
1. Standardization of data: Before democratizing research data, it's important to standardize it so that all researchers can easily access and interpret the data. This involves ensuring that the data is in a common format, and that all variables and metadata are clearly defined. This will help to prevent confusion and e
ors when researchers are analyzing the data.
2. Clear governance policies: A clear governance policy outlining who can access the data, what the data can be used for, and how it should be managed is essential to ensure that data is not misused or abused. A governance policy can also help to protect sensitive data and ensure that data is used ethically and in line with legal and ethical frameworks.
3. Establish data access protocols: Researchers need to know how to access the data, and the process of requesting and obtaining access should be clearly defined. This can include setting up a data access portal (Kitchin, n.d.), providing researchers with access credentials, and providing clear instructions on how to use the data access system.
4. Develop clear data sharing agreements: When sharing data with other researchers, it's important to develop clear data sharing agreements that outline how the data can be used, who has access to the data, and what the data can be used for. This can help to prevent misuse of the data and ensure that all parties are aware of their responsibilities when using the data.
5. Enable data discovery: Researchers need to be able to find the data they need in order to conduct their research. This can be facilitated by creating a data catalog that describes the available datasets and provides information on how to access them. The catalog should be searchable and include relevant metadata to help researchers find the data they need.
6. Provide training and support: Researchers may need training on how to use the data access system or how to analyze the data. Providing training and support can help to ensure that researchers are able to use the data effectively and can minimize e
ors or misuse of the data.
7. Encourage collaboration and sharing: Data democratization (T. Malamud, n.d.)can facilitate collaboration and sharing between researchers, leading to more innovative and impactful research. Researchers should be encouraged to share their findings and collaborate on research projects using the available data.
By implementing these best practices, data democratization (Ma, n.d.) can be a powerful tool in enabling researchers to access and analyze well-curated datasets. By promoting collaboration and transparency, data democratization can help to advance research and facilitate the development of new ideas and solutions.
2.Ans)
Assuming that data democratization (Kallberg, n.d.) has been an issue in the past in this hypothetical use case, it is essential to transform the data culture within the organization to support data democratization initiatives. The following are the ways in which the data culture within the organization can be transformed to support data democratization initiatives:
1. Create a Data-Driven Culture: The organization should create a data-driven culture where data is used to make informed decisions. This can be done by creating awareness about the importance of data in decision-making processes. The organization should also create a framework for data governance to ensure that data is managed and used effectively.
2. Encourage Collaboration: The organization should encourage collaboration between departments and individuals. This can be done by creating a platform where individuals can share data, insights, and best practices. The organization should also encourage cross-functional teams to work together to solve problems that require data insights.
3. Educate and Train Employees: The organization should provide education and training to employees on how to use data. This can be done by organizing workshops, training sessions, and webinars. The organization should also provide access to resources such as data li
aries, online courses, and books.
4. Use Data Visualization: The organization should use data visualization tools to make data accessible and understandable to everyone. This can be...