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Maryland Longitudinal Data System Data InventoryMARYLAND STATE LONGITUDINAL DATA SYSTEM (MOLDS)DATA INVENTORY VERSION 1 SEPTEMBER 1, 2012Page 1 of 41Version 19/1/12Maryland Longitudinal Data System
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How to fill out data inventory

01
To fill out a data inventory, follow these steps:
02
Identify the types of data your organization collects or processes.
03
Determine the sources of the data, such as internal systems, third-party vendors, or customer interactions.
04
Categorize the data based on its nature, such as personal information, financial data, or marketing data.
05
Document the purpose for collecting each type of data.
06
Specify the data retention periods, considering legal requirements and business needs.
07
Record the data transfer or sharing practices, including any cross-border data transfers.
08
Assess the security measures implemented to protect the data.
09
Identify the individuals or roles responsible for managing and accessing the data.
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Regularly review and update the data inventory as new data types are added or as data practices change.
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Keep the data inventory accessible and up-to-date for compliance and data governance purposes.

Who needs data inventory?

01
Data inventory is needed by organizations that collect, process, or store data.
02
This can include businesses, government agencies, non-profit organizations, and any entity that deals with data.
03
Data inventory helps in understanding the data landscape, ensuring compliance with regulations, improving data governance, and facilitating data-driven decision-making.
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Data inventory is a detailed list or database of an organization's data assets, including their location, format, classification, and other relevant information.
All organizations that collect, store, process or transmit personal data are required to file a data inventory.
To fill out a data inventory, organizations should list all data assets, including personal data, and provide relevant details such as location, format, and classification.
The purpose of data inventory is to help organizations understand and manage their data assets, improve data security and compliance, and facilitate data governance.
Information reported on data inventory typically includes data asset name, description, location, format, classification, and associated data privacy and security measures.
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