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Deliverable 1.2: Data Management Planta Management Plan ND (2 version) June 2018ZERO BRINE Industrial Desalination Resource Recovery Circular Economy1Deliverable 1.2: Data Management Undeliverable
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How to fill out 2 data management plan

01
Start by identifying the purpose of the data management plan. Determine why you need to create it and what specific requirements or guidelines you must follow.
02
Gather all relevant information and data that will be included in the plan. This may include details about the data sources, data types, storage and backup methods, data sharing and access rights, data preservation strategies, and data security measures.
03
Organize the gathered information into a clear and structured format. Use headings, subheadings, and bullet points to make the plan easy to read and understand.
04
Clearly define the roles and responsibilities of individuals or teams involved in data management. Specify who will be responsible for data collection, storage, sharing, preservation, and security.
05
Address any ethical considerations or legal requirements related to data management, such as data privacy, confidentiality, intellectual property rights, and compliance with regulations.
06
Develop a data management timeline or schedule to ensure that important tasks and milestones are identified and completed in a timely manner.
07
Review and revise the data management plan regularly to keep it updated and aligned with any changes in data sources, regulations, or organizational needs.
08
Get feedback and input from relevant stakeholders, such as researchers, data analysts, IT professionals, and legal experts, to ensure that the data management plan is comprehensive and effective.

Who needs 2 data management plan?

01
Researchers and scientists who collect, analyze, and share data as part of their research projects.
02
Academic institutions and universities that handle large volumes of research data.
03
Government agencies and organizations that deal with sensitive or confidential data, such as personal information or national security data.
04
Companies and businesses that rely on data for decision-making, customer insights, and product development.
05
Non-profit organizations and foundations that manage data for social and environmental research or advocacy purposes.
06
Data management professionals and IT departments who are responsible for implementing and maintaining data management practices.
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A data management plan is a document outlining how research data will be handled during and after a research project.
Researchers conducting federally funded research projects are required to file data management plans.
Data management plans can be filled out by detailing how data will be collected, stored, documented, shared, and preserved.
The purpose of a data management plan is to ensure that research data is handled responsibly, ethically, and in compliance with regulations.
Information such as data collection methods, storage and backup procedures, data sharing protocols, and data preservation plans must be reported on a data management plan.
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