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Get the free Building a data sharing cloud on Drupal 8 BADCamp 2017

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Bandcamp, October 24th 2015Remote Entities: Past, Present & Future Dave Bailey steel track Clan Schwartz clan Licensed under AttributionShareAlike 4.0 International (CC BSA 4.0)About Dave Drupal Architect
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How to fill out building a data sharing

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How to fill out building a data sharing:

01
Identify the purpose: Start by determining the reason for building a data sharing platform. Is it to collaborate with team members, share data with clients, or enable data analysis across departments? Clearly define the goal of the platform to guide the building process.
02
Choose a data sharing platform: Research and select a data sharing platform that aligns with your organization's needs. Consider factors such as security, scalability, ease of use, and integration capabilities. Popular options include cloud-based platforms like Google Drive, Dropbox, or more specialized solutions like Microsoft SharePoint or Amazon S3.
03
Set up access controls: Determine who needs access to the shared data and what level of access they require. Define user roles and permissions to ensure data security and privacy. Consider implementing role-based access controls (RBAC) to grant specific privileges based on user responsibilities.
04
Establish data governance policies: Develop clear guidelines on how data should be shared and handled within the platform. This includes defining data ownership, data retention rules, version control processes, and data quality standards. Ensure that all users are aware of these policies and adhere to them.
05
Organize and structure data: Create a logical structure for organizing data within the sharing platform. This could include folder structures, naming conventions, and metadata. Make it easy for users to find and navigate through the shared data by implementing a consistent and intuitive organization system.
06
Train users: Provide sufficient training and support to users who will be utilizing the data sharing platform. Make sure they understand how to upload, download, and share data securely. Conduct training sessions or create user guides to assist them in efficiently navigating the platform.
07
Monitor and maintain the platform: Regularly monitor the usage and performance of the data sharing platform. This includes tracking user activities, resolving any technical issues, and ensuring data backups are performed. Keep the platform up to date with the latest security patches and software updates to protect against potential vulnerabilities.

Who needs building a data sharing:

01
Organizations with multiple departments: Building a data sharing platform can streamline communication and collaboration between different teams and departments within an organization. It allows for efficient sharing of information, reduces duplication of efforts, and promotes a more integrated approach to data management.
02
Project teams or remote teams: When working on complex projects or having remote team members, a data sharing platform becomes essential. It provides a centralized location for sharing project-related documents, files, and other relevant data. This enhances collaboration and ensures everyone has access to the latest information.
03
Research organizations or academic institutions: Data sharing is crucial in the research and academic fields, where collaboration and information exchange are vital. Building a data sharing platform enables researchers and institutions to share their findings, datasets, and scholarly resources, fostering innovation and knowledge advancement.
04
Businesses collaborating with external partners or clients: Companies that frequently collaborate with clients, vendors, or partners can benefit greatly from a data sharing platform. It simplifies the process of sharing files, documents, and other relevant data securely, ensuring smooth communication and enhancing collaboration with external stakeholders.
05
Data-driven organizations: Companies that heavily rely on data analysis and insights can leverage a data sharing platform to facilitate sharing of datasets, reports, and analysis models. This allows for better data-driven decision-making and enables different teams or individuals to access and use the data for their specific purposes.
In conclusion, building a data sharing platform requires careful planning and consideration of various factors. It is essential to define the purpose, choose the right platform, establish access controls and governance policies, organize the data, train users, and regularly maintain the platform. Organizations from various industries and sectors can benefit from building a data sharing platform to enhance collaboration, streamline workflows, and improve data management capabilities.

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