Data Management Plan. (NOTE: This is a one-time submittal due NLT 30 days after award)
Data Management Plan. (a) You, Specified Personnel and Participating Organisations have an obligation to collect and maintain research data in accordance with the Australian Code for the Responsible Conduct of Research (2018) (the 2018 Code).
(b) A data management plan must be developed prior to the commencement of the project. The data management plan should be consistent with relevant requirements contained in the 2018 Code, and accompanying Management of Data and Information in Research guide. The data management plan should be compatible with disciplinary standards and describe how participants will manage the long-term preservation of data arising from the ARC-funded projects, including but not limited to, storage, access and reuse arrangements where possible.
(c) We strongly encourage that data arising from the project is deposited in an appropriate publicly accessible discipline and/or institutional repository.
Data Management Plan. As identified in the Evaluation and Performance Measurement section, applications involving data collection must include a Data Management Plan (DMP) as part of their evaluation and performance measurement plan. The DMP is the applicant’s assurance of the quality of the public health data through the data’s lifecycle and plans to deposit data in a repository to preserve and to make the data accessible in a timely manner. See web link for additional information:
Data Management Plan. (a) OPKO will comply with the data management plan to be agreed upon by the Parties within *** Business Days following approval by the JDC of the Development Plan (the “Data Management Plan”). For clarity, the Data Management Plan will provide Pfizer the right to review the Development Plan, and OPKO will agree to make modifications requested by Pfizer if they are considered by Pfizer to affect any of the timelines set forth in the Development Plan or may have a material impact on the success of any BLA submissions hereunder by Pfizer. The Data Management Plan will be agreed upon by the Parties prior to recruitment of Subjects for any future Trial.
(b) During the Term, with respect to any data collected in connection with any Trial, OPKO will ensure that such data is held in one or more appropriate facilities with information security protections (including in accordance with all Applicable Laws) including: (i) unique accounts for all operators; (ii) cancellation of an account when an employee or other personnel terminates employment; (iii) deactivation of an account when an employee or other personnel ceases working on the Trial; (iv) required password changes at frequent intervals; and (v) regular backups of electronic data.
Data Management Plan. The Contractor shall implement a Data Management Plan to manage and control the generation, acquisition and maintenance of technical documents, engineering data, vendor data, manuals, management data and operational support data.
Data Management Plan. For each Activity, the Parties shall develop and implement a plan to guide the collection, transfer, storage, and security of public health surveillance data and include the plan as Annex B of the Agreement (“Data Management Plan”). The Parties shall use the Data Management Plan to: Collect and share high quality data for the public health need addressed by an Activity; Achieve interoperability between data systems of the Data Provider and Data Recipient; Incorporate, as appropriate, internationally accepted standards and best practices on conducting surveillance and sharing public health surveillance data; Protect data from unauthorized access, manipulation, and use; and Integrate confidentiality protections into the management of public health surveillance data collected, shared, and analysed in an Activity.
Data Management Plan. Planning for data management at the outset is critical to a project’s success (ICPSR, 2009). This practice can maximize funding, time, and resources; it builds relationships and meets funding agencies’ requirements. In some cases, a data management plan will be directed by funder requirements. It is important to review the stipulations of the funding stream to assure that all requirements are met. If those stipulations are not clearly delineated, the research collaboration will need to set aside ample time to make important decisions about the collection, use, re-use and protection of the data. The Annotated Bibliography included with this document contains a list of helpful resources, including a fillable Data Management Plan template. In cases where a data management plan is not required by the funder, but the partnership wants to continue with an agreement, reviewing the elements in a data management plan will help formulate a framework upon which to build a data sharing agreement. Taking good notes to capture decisions made about data management will expedite the creation of a data management plan. Following this process also begins to diminish the power differentials by further developing trust and communication pathways within a partnership. Engaging in conversations about each of the elements in Table 2 will help facilitate this process. Project description A few paragraphs about the research project. Introduce any terminology Data description A description of the information to be gathered or re-used; the nature and scale of the data that will be generated or collected, or re-used. Existing data A survey of existing data relevant to the project and a discussion of whether and how these data will be integrated. Search web and data archives for similar datasets. Answer: Why is there a need to create a new dataset? Format List data formats, standards, and conventions and apply to each data item. Justify the use of particular formats in terms of usability, longevity, and suitability for archiving.
Data Management Plan. The data management plan, developed as part of the S-BSS development program, shall be updated to cover the chipset development activities.
Data Management Plan. (a) You, Specified Personnel and Participating Organisations have an obligation to collect and maintain research data in accordance with the Australian Code for the Responsible Conduct of Research (2018).
(b) A data management plan must be developed prior to the commencement of the project. The data management plan should be consistent with relevant requirements contained in the Australian Code for the Responsible Conduct of Research (2018), and accompanying Management of Data and Information in Research guide. The data management plan should be compatible with disciplinary standards and describe how participants will manage the long-term preservation of data arising from the ONI funded projects, including but not limited to, storage, access and reuse arrangements where possible.
(c) We strongly encourage that data arising from the project is deposited in an appropriate publicly accessible discipline and/or institutional repository.
(d) You must retain the data management plan, and make it available if requested.
Data Management Plan. A. The Principal Investigator is responsible for developing and maintaining the Data Management Plan as required by CMS.
B. Approval of Data Management Plan:
1. IU’s IRB will review all CMS Data Management Plans through the IRB protocol/study approval and continuous review process.
2. CMS will have final approval over all CMS Data Management Plans.
C. The Principal Investigator is responsible for ensuring all members of the research team review and understand their obligations for privacy and security of the data received.
