• Unit 7: Data Sharing

    Data sharing is the ability to distribute exact information throughout multiple applications for users. Data sharing is important because it promotes the cross-flow of information and builds partnerships between researchers and organizations. Data sharing allows others to further investigate previous research or reveal new insights about an event from previously collected data. This unit will cover data sharing between multiple applications or users, review data issues with storing information on one or more servers, review terms and obstacles associated with data sharing, and address the overall benefits and disadvantages of data sharing.

    Completing this unit should take you approximately 3 hours.

    • 7.1: Data Sharing

      Data Sharing is the process of making data available to others. This is an exchange process that allows any organization or individual to use data or metadata. Over time, data sharing has become one of the most essential methods to encourage scientific and organizational progress. Today, organizations and institutions encourage a culture of openness, accountability, and secondary analysis of data.

      • 7.1.1: Advantages and Disadvantages

        Data sharing promotes connection and collaboration. You learned earlier that data sharing allows researchers and analysts to share resources (data). As a result, industries can investigate and reveal new findings. However, there are advantages and disadvantages associated with sharing data across industries.

    • 7.2: Data Sharing Challenges

      Data sharing has advantages for research and industry. First, researchers can further investigate or develop new concepts based on the foundation of previous research. Second, shared data can be more reliable when collected by other researchers. Third, data sharing reduces costs associated with collecting new data. However, data sharing also has disadvantages. Organizations and institutions must work together to agree on policies, guidelines, and data-sharing standards to counter data-sharing disadvantages. Next, you will learn about the issues and obstacles to sharing data.

      There have always been advocates for sharing data over the decades. The idea of using data collected for other purposes is known as secondary data analysis. Although this is widely accepted in science, barriers exist when using data from other sources. Some issues and barriers include concerns about data manipulation errors, data possessiveness, data documentation, and data management. Also, many organizations view their data as an asset and are often unwilling to share it without receiving significant compensation.

      International barriers and obstacles also exist with sharing data. It includes language differences, legal differences, differences in technology advancement, and differences in data documentation and standards.

      • 7.2.1: Institutions and Publishers

        Institutions continuously engage in conversations with publishers. The primary purpose is to establish and shape data-sharing policies. This is done through cross-communication on widely accepted data principles. These principles are used to create data-sharing guidelines. Data sharing guidelines prescribe how and when to share data. As a result, institutions and publishers are compelled to agree on policies, produce guidelines, and establish compliance standards for data sharing.

    • Study Guide: Unit 7

      We recommend reviewing this Study Guide before taking the Unit 7 Assessment.

    • Unit 7 Assessment

      • Receive a grade