Discussion with 2 replies- block chain in IG

While blockchain is successful with cryptocurrencies, it is also beneficial for information governance in businesses. After reading this article (https://www.everteam.com/en/role-of-blockchain-in-information-governance/), discuss at least two ways you foresee blockchain transforming information governance in businesses. Be sure to utilize sources and provide at least one detailed example of your findings.

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Please make your initial post and two response posts substantive. A substantive post will do at least two of the following:

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Ask an interesting, thoughtful question pertaining to the topic

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• Answer a question (in detail) posted by another student or the instructor
• Provide extensive additional information on the topic
• Explain, define, or analyze the topic in detail
• Share an applicable personal experience
• Provide an outside source (for example, an article from the college Library) that applies to the topic, along with additional information about the topic or the source (please cite properly in APA)
• Make an argument concerning the topic.
• https://www.cambridge.org/core/journals/journal-of…

While this reading is not part of ERM, it does deal with risk – and the risk to human subjects. When you work on your dissertation, you will have to get approval from colleges’s IRB board, so it’s helpful as you work through your class to get familiar with what you will need when beginning to work on your dissertation.

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Implementing Regulatory Broad Consent Under the Revised Common Rule:

Clarifying Key Points and the Need for Evidence. (2019). Journal of Law,

Medicine & Ethics, 47(2), 213–231.

This week students will examine the General Data Protection Regulation (GDPR) framework and its implications in unstructured data. Additionally, students will examine current research governance of mobile devices and when dealing with health information.

• Describe how unstructured data impacts social networks
• Identify legal and governance guidelines in using unstructured data
• Explain the General Data Protection Regulation
• Describe research in mobile device governance
• Identify governance regulations when using health data
• Explain mobile device computing

Textbook: Chapter 13 – Information Governance for Social Media

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Textbook: Chapter 14: Information Governance for Mobile Devices

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Ahmed, J., Yildirim, S., Nowostaki, M., Ramachandra, R., Elezaj, O., & Abomohara, M. (2020). GDPR Compliant Consent Driven Data Protection in Online Social Networks: A Blockchain-Based Approach. 2020 3rd International Conference on Information and Computer Technologies (ICICT), Information and Computer Technologies (ICICT), 2020 3rd International Conference on, ICICT, 307–312. https://doi.org/10.1109/ICICT50521.2020.00054

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Elsayed, M., Abdelwahab, A., & Ahdelkader, H. (2019). A Proposed Framework for Improving Analysis of Big Unstructured Data in Social Media. 2019 14th International Conference on Computer Engineering and Systems (ICCES), Computer Engineering and Systems (ICCES), 2019 14th International Conference On, 61–65. https://doi.org/10.1109/ICCES48960.2019.9068154

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Jackson, O. (2018). GDPR: companies at risk over unstructured data. International Financial Law Review, N.PAG.

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Limantara, N., Kosala, R., Ranti, B., & Supangkat, S. H. (2019). Human and Technology Factors in the Readiness to Use Smart Mobile Devices in Learning Activities. 2019 International Conference on ICT for Smart Society (ICISS), ICT for Smart Society (ICISS), 2019 International Conference On, 7, 1–5. https://doi.org/10.1109/ICISS48059.2019.8969827

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Rothstein, M. A., Wilbanks, J. T., Beskow, L. M., Brelsford, K. M., Brothers, K. B., Doerr, M., Evans, B. J., Hammack-Aviran, C. M., McGowan, M. L., & Tovino, S. A. (2020). Unregulated Health Research Using Mobile Devices: Ethical Considerations and Policy Recommendations. Journal of Law, Medicine & Ethics, 48, 196–226. https://doi.org/10.1177/1073110520917047

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Shankar, A., & Kumari, P. (2019). A Study of Factors Affecting Mobile Governance (mGov) Adoption Intention in India using an Extension of the Technology Acceptance Model (T34AM). South Asian Journal of Management, 26(4), 71–94.