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Get the free Research Data Management Policy of the University of Mnster

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Postdoctoral position (13 TV) Single molecule FRET studies of key components in cyclic diGMPmediated signaling available immediately at the University of Master, Institute for Physical Chemistry,
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How to fill out research data management policy:

01
Start by gathering all relevant information and resources related to your research data management policy. This can include any existing policies or guidelines, as well as any requirements or recommendations from funding agencies or institutions.
02
Review and understand the purpose of the policy. Identify the goals and objectives you want to achieve through the policy, such as ensuring data integrity, accessibility, and long-term preservation.
03
Identify the stakeholders who should be involved in the development and implementation of the policy. This may include researchers, data managers, IT staff, legal counsel, and other relevant personnel.
04
Define the scope of the policy. Determine what types of research data and datasets will be covered by the policy, as well as any specific requirements or exceptions for certain types of data.
05
Determine the responsibilities and roles of various stakeholders in managing research data. This can include data collection, documentation, storage, sharing, and disposal.
06
Establish guidelines for data documentation and metadata. This includes requirements for data format, file naming conventions, version control, and documentation of data description, methodology, and provenance.
07
Ensure compliance with legal, ethical, and regulatory requirements. Identify any specific legal or regulatory requirements pertaining to your research data, such as privacy, intellectual property, and data protection laws.
08
Develop a data management plan template or template(s) that researchers can use to document their data management practices. Include sections for data description, storage, security, backup, sharing, and preservation.
09
Address data sharing and access policies. Determine whether and how research data should be shared with other researchers or made publicly available, considering issues such as data sensitivity, intellectual property rights, and data embargo periods.
10
Establish a data retention and disposal policy. Determine how long data should be retained, whether certain types of data should be archived or preserved for long-term access, and how data should be securely disposed of once it is no longer needed.
11
Involve stakeholders in reviewing and finalizing the policy. Seek feedback and input from relevant parties to ensure that the policy is clear, comprehensive, and feasible to implement.
12
Communicate and provide training on the policy. Once the policy is finalized, ensure that all relevant stakeholders are aware of the policy and understand their responsibilities. Provide training or resources to support compliance with the policy.

Who needs research data management policy?

01
Researchers: A research data management policy provides guidelines and expectations for researchers to effectively manage their data throughout the research lifecycle.
02
Funding agencies: Research data management policies help funding agencies ensure that the data they support is managed appropriately, shared when appropriate, and preserved for future use.
03
Institutions: Research data management policies help institutions ensure compliance with external funding requirements and promote good research data management practices within their organization.
04
Data managers and librarians: Research data management policies provide guidance and a framework for data managers and librarians to support researchers in effectively managing and sharing their data.
05
IT staff: Research data management policies can help IT staff understand the specific data storage, security, and access requirements needed to support researchers' data management needs.
06
Legal counsel: Research data management policies help legal counsel ensure compliance with relevant legal and regulatory requirements pertaining to data management and sharing.
07
Research participants and data subjects: Research data management policies can include provisions to protect the privacy and confidentiality of research participants and data subjects, ensuring their rights are respected.
08
The wider research community: By promoting good data management practices, research data management policies contribute to the integrity of research and enable the reproducibility and reuse of research data.
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Research data management policy outlines the rules and guidelines for handling and storing research data to ensure its accuracy, security, and accessibility.
All researchers, institutions, or organizations that handle or generate research data are required to file a research data management policy.
Research data management policy can be filled out by outlining the procedures for data collection, storage, sharing, and retention, as well as assigning responsibilities for data management tasks.
The purpose of research data management policy is to promote good data management practices, ensure data integrity, comply with regulations, and support reproducibility of research.
Research data management policy must include details on data collection methods, storage locations, access protocols, data sharing agreements, retention policies, and data security measures.
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