data management and sharing plan

State the relationship to other data available in public repositories e.g. According to the UCL Research Data policy, data are:facts, observations or experiences on which an argument or theory is constructed or tested. Data Management Plans | University of Strathclyde Any potential limitations on subsequent data use should be communicated to the individuals or entities (for example, data repository managers) that will preserve and share the scientific data. You need to explain if copyright of research data (both existing sources of data used or created) is agreed or clarified, especially for collaborative research or if various sources of data are combined. Genomic Data Sharing Expectations by NIH Institute & Center, Completing an Institutional Certification Form, How to Register and Submit A Study in dbGaP, NIH Institute and Center Data Sharing Policies, Intramural Human Data Sharing Policy (Staff Only), Accessing Genomic Data from NIH Repositories, How to Request and Access Datasets from dbGaP, 2023 Data Management and Sharing (DMS) Policy, Budgeting for Data Management and Sharing, Supplemental Policy Information: Elements of an NIH Data Management and Sharing Plan, NIH Grants Policy Statement Section 2.5.1 Just-in-Time Procedures, NIH Institute or Center data sharing policies, The documentation to be provided with the dataset, Whether any analytic tools also will be provided. Project director who is designing the research. Institutional Certifications and Data Sharing Limitation Expectations: DMS Plans should address limitations on sharing by anticipating sharing according to the criteria of the. NIH Institute or Center Data Sharing Policies, HHS Vulnerability Disclosure |Technical Issues: E-mail OER Webmaster. An explanation of the existing data sources that will be used by the research project, with references. A guide that outlines UK funder expectations for DMPs and provides practical guidance on how to meet these, Guidance and examples Please find out more information about this below. Where needed, protect participants identities by anonymising data. 1).Project planning and . Quality control of data is an integral part of a research process. Let us know if you have feedback. PDF How to Develop a Data Management and Sharing Plan - Digital Curation A data management and sharing plan helps you consider, at the project design and planning stage, how research data will be managed during the research process and shared afterwards with the wider research community. [5] The structure of DMPonline is based around the DCC Checklist for a Data Management Plan, which defines elements to include. For more information on the data types to be shared under the GDS Policy, consult, The name of the repository(ies) where scientific data and metadata arising from the project will be archived. Common Principles on Data Policy Retrieved 19August 2011, from: http://www.rcuk.ac.uk/research/Pages/DataPolicy.aspx, 17UKDA. Support is also available through a variety of disciplinary data centres, repositories and structured databases.[7]. The specifics of the plan will vary on a case-by-case basis, depending on the type of data to be shared and how the investigator plans to share the data. (n.d.). How to Develop a Data Management and Sharing Plan | DCC University College London,Gower Street,London,WC1E 6BTTel:+44(0)20 7679 2000. In addition, the funding NIH ICO will need to approve the updated Plan. . Workflow. Data repositories for long-tail science: setting the scene. 4. Guidance on data management roles and responsibilities. A Data Management Plan (DMP) is a written document which describes the data that will be collected or generated during a research project, and sets out a detailed plan for how the data will be managed throughout the project and what will happen to it after the project completes. NIH has developed an optional DMS Plan format page that aligns with the recommended elements of a DMS Plan. UCL guidance is now incorporated into DMPonline; see our information to find further guidance on using the tool. Where you are collaborating with partners based globally, confirm whether international data protection legislation apply to your research. [6] IT services run established back-up regimes and your research group or department may have local policies and procedures that you can refer to. Verify which data management and data sharing policies apply - these could be institutional, funder or journal publisher-led. Address access restrictions to data in the data management and sharing plan, before commencing research. ESRC has a longstanding arrangement with the UK Data Service as a place for the deposit of research data, with grant holders required to submit data resulting from their research grants via the UK Data Service ReShare repository or an alternative responsible repository. Many UK funders have released data policies which advocate curation and data sharing. Some of these cookies are essential, while others help us to improve your experience by providing insights into how the site is being used. Retrieved 24 August 2011, from: http://foiresearchdata.jiscpress.org/, UKDA. If any changes occur during the award or support period that affects how data is managed or shared, investigators should update the Plan to reflect the changes. You may apply differing levels of service or adopt a combination of approaches: Select data of long-term value: Data sharing and preservation may not be applicable in every case. Justify your decisions: Funders tend not to specify particular file formats, standards or methodologies that you are expected to use. Writing a Data Management & Sharing Plan | Data Sharing Describe which scientific data from the project will be preserved and shared. [28]Guidance is available on our website and we run a helpdesk service to provide tailored advice. Research centres often manage multiple datasets at different stages of the research process. Example 3 It expects data generated through ESRC-funded research to be made available and accessible for secondary scientific research, with as few restrictions on reuse as possible, in a timely and responsible manner. A Data Management Plan (DMP) is a formal document that describes how you will handle your data during the course of your research and at the conclusion of your study or project. Over the last 5 years, we have established a strategy for 1) project planning, 2) documentation, 3) data acquisition and storage, and 4) data sharing (Fig. Provide information on the data that will be produced or accessed by the research project with a key focus on: Using standardised and interchangeable data formats ensures the long-term usability of data. What standards and methodologies will be utilised for data collection and management? I agree to deposit genetic outcome data into ________________ repository as soon as possible but no later than within one year of the completion of the funded project period for the parent award or upon acceptance of the data for publication, or public disclosure of a submitted patent application, whichever is earlier. (2011). Several funders ask for data plans as part of grant proposals. Even though the final dataset will be stripped of identifiers prior to release for sharing, we believe that there remains the possibility of deductive disclosure of subjects with unusual characteristics. Data products from this study will be made available without cost to researchers and analysts. Standardised data capture, data entry or recording methods. AHRC. Google Analytics sets cookies that store anonymised information about how you got to the site, the pages you visit, how long you spend on each page and what you click on while youre visiting the site. You need to choose and demonstrate that the selections made are the most appropriate for your context, that of your discipline and future users. View a list ofNIH Institute or Center data sharing policies. Outline your plans for preparing, organising and documenting data. If you provide permission, we will use Google Analytics to measure how you use the website so we can improve it based on our understanding of user needs. Learn what NIH expects Data Management & Sharing Plans to address, as well as how to submit your Plan. Examples of information to cover in a data sharing plan include: Generating large-scale genomic data? When using existing data sources, consider copyright and Intellectual Property Rights (IPR) of those data and the conditions of their use, to decide whether resulting derived data can be shared. Planning also enables you to make sound decisions, bearing in mind the wider context and consequences of different options. (2011). Whilst each funder specifies particular requirements for the content of a plan, common areas are: You should critically assess how you can share your research data, what might limit or prohibit data sharing and whether any steps can be taken to remove such limitations, when developing a data management plan. The guidance in this section is structured around the six core themes of the DCC Checklist for a Data Management Plan. Plans typically state what data will be created and how, and outline the plans for sharing and preservation, noting what is appropriate given the nature of the data and any restrictions that may need to be applied. DMPonline is an web-based tool which allows users to create data management plans using customised templates and guidance from selected funders and institutions. Additional data documentation and de-identified data will be deposited for sharing along with phenotypic data, which includes demographics, family history of XXXXXX disease, and diagnosis, consistent with applicable laws and regulations. Researchers creating a DMP that needs to be submitted to a funder, as part of a grant application or for a Horizon 2020 submission, should use the appropriate funder template. We enable data reuse by preserving data and making them available to the research and teaching communities. Processes often evolve over time to respond to new opportunities or changes in the research. [2] Several of these require that data management and sharing plans are submitted as part of grant applications. It is generally 1-3 pages in length and should cover the four phases of the research data lifecycle: Planning and preparing for your research project; Actively researching; Archiving, preserving and curating; Discovery, access and sharing. Post-Award Plan Revisions:Although investigators submit plans before research begins, plans may need to be updated or revised over the course of a project for a variety of reasons for example, if the type(s) of data generated change(s), a more appropriate data repository becomes available, or if the sharing timeline shifts. It describes the type of data you use for your research, how are collected, organized, and stored, and what formats you use. Retrieved 25 August 2011, from http://www.bbsrc.ac.uk/organisation/policies/position/policy/data-sharin Brunt, James. Meta-analysis data and associated phenotypic data, along with data content, format, and organization, will be made available to investigators through ____________. The mode of data sharing (e.g., the PI could handle data sharing by mailing a disk or posting data on their institutional or personal website, or the data sharing could be handled through a data archive or enclave). A data management plan helps achieve optimal handling, organising, documenting and enhancing of research data. Why does CRUK require a data sharing plan in applications? Our data inventory template can be used to keep track of your centres data assets and to coordinate future data deposits. Make explicit mention of the planned procedures to handle consent for data sharing for data obtained from human participants, and/or how to anonymise data, to make sure that data can be made available and accessible for future scientific research. The Office of Research Compliance and Training and Libraries have created a 12-minute video tutorial that demonstrates how to use DMPTool. The following tools and resources are provided by the DCC: BBSRC. ESRCs guidance for peer reviewers (PDF) to assess data management plans is a valuable resource for researchers as it covers all the aspects of an ideal data management plan. Investigators may submit datato any widely used repository. It may be helpful to discuss potential changes with the Program Officer. Ensure to add information on any software, tools and methodologies you are planning to for these processes. Data may be raw, abstracted or analysed, experimental or observational. Note that the sample DMS Plans provided below may reflect additional expectations established by NIH or specific NIH Institutes, Centers, or Offices that go beyond the DMS Policy. Resources needed may include researcher time, equipment, infrastructure and tools to manage, document, organise, store, archive and provide access to data beyond the end of the project. Clearly defined roles and responsibilities add weight to your plans so be explicit about who will do what, how and when. Think about how you will transfer data securely e.g. Make informed decision based on review: It can help to show your awareness of good practice or that you have sought advice to develop your plans. Describe the planned quality assurance and back-up procedures [security/storage], Specify the responsibilities for data management and curation within research teams at all participating institutions. Retrieved 8 August 2011, from: /resources/how-guides/appraise-select-research-data, 16RCUK. This element refers to oversight by the funded institution, rather than by NIH. . supporting research data management through grant funding. When developing a project or applying for funding you are likely to need a Data Management Plan. A further guide - How to put the data management and sharing plan into practice - will address data management during the research process. /resources/policy-and-legal/overview-funders-data-po http://www.wellcome.ac.uk/About-us/Policy/Spotlight-issues/Data-sharing/ http://www.bbsrc.ac.uk/web/FILES/Guidelines/data-sharing-faqs.pdf, http://relu.data-archive.ac.uk/data-sharing/planning/examples, http://www.noc.soton.ac.uk/rapid/sci/documents/rapid_data_plan.pdf, http://www.bgs.ac.uk/micromacro/docusearch.cfm?dtype=d, http://www.sheffield.ac.uk/polopoly_fs/1.158849!/file/dmpt_guidance.pdf, http://www.icpsr.umich.edu/icpsrweb/ICPSR/dmp/resources.jsp, http://odai.yale.edu/documentation/data-management-plan-examples, www.dcc.ac.uk/resources/data-management-plans, Summary of UK funders expectations for DMPs. Expectations for human genomic data subject to the GDS Policy: Indicate how compliance with the DMS Plan will be monitored and managed, the frequency of oversight, and by whom (e.g., title, roles). Documenting the calibration of instruments. ESRC data management plan and policy UK Data Service Indicate who within your research team will be responsible for data management, metadata production, dealing with quality issues and the final delivery of data for sharing or archiving. Each funder often has a unique template, use the guidance below to ensure your DMP meets funder expectations: Researchers can send draft plans to us for review before submitting to a funder. It helps to show that youve balanced concerns with the desire to share e.g. Avoid repeating content from elsewhere in your application or using this space to provide details unrelated to data management and sharing. To properly cost your research data management and sharing at the time of preparing an application, we recommend that you identify the resources that would be needed to make research data shareable beyond the research team and duration of the project. External contractors involved in data collection, data entry, processing or analysis. Your institution should be able to offer some help and support to create a Data Management Plan and enact it within the timeframe of your project. A Data Management Plan (DMP) describes your data management and sharing activities. The description of planned work should be clear and achievable so markers can feel confident that you understand the options and will be able to deliver what is proposed. Investigators conducting research subject to the GDS Policy should indicate in their DMS Plan if a study should be designated as sensitive for the purposes of access to Genomic Summary Results (GSR), as described in. Investigators are expected to submit data to a repository acceptable under the Genomic Data Sharing Policy. The template is suitable for a range of projects including EPSRC or industry funded research, and student research projects. Resources needed may include researcher time, equipment, infrastructure and tools to manage, document, organise, store, archive and provide access to data beyond the end of the project. If several people will be responsible, state their roles and responsibilities in the relevant section of the Je-S form. Outline and justify costs: If you need to purchase storage, outsource services such as back-up and preservation, or plan to pay for data management support, these costs should be outlined and justified in your proposal. Plans typically state what data will be created and how, and outline the plans for sharing and preservation, noting what is appropriate given the nature of the data and any restrictions that may need to be applied. A plan links data management roles and responsibilities to particular research activities, shows which support may need to be sought and helps justify the resources and funding required. For more detailed information please check our Cookie notice. A data management and sharing plan helps you consider, at the project design and planning stage, how research data will be managed during the research process and shared afterwards with the wider research community. MRC good research practice guidance, section B, data: management, integrity, retention and preservation (pp. State any expected difficulties in data sharing, along with causes and possible measures to overcome these difficulties. Similarly, you need to present a convincing case for any restrictions on data sharing. Demonstrate that you have sought advice on and addressed all copyright and rights management issues that apply to the resource, Make explicit mention of consent, confidentiality, anonymisation and other ethical considerations, where appropriate. A range of how-to guides have been created categorised according to the phase of the resesearch data lifecycle they cover. Apply appropriate levels of data management: Funders want to be reassured that the day-to-day data management is fit for purpose. Retrieved 19 August 2011, from: http://www.rcuk.ac.uk/research/Pages/DataPolicy.aspx, Rusbridge, Chris & Charlesworth, Andrew. Data management planning overview UK Data Service Because the STDs being studied are reportable diseases, we will be collecting identifying information. This online resource links existing CIfA standards to digital materials, signposting good practice information and technical standards, and providing practical advice about how to achieve those standards. Refer to NIH Grants Policy Statement Section 2.5.1 Just-in-Time Procedures for additional guidance. Guidance for Researchers: Developing a Data Management and Sharing Plan. DMPTool is a free service that researchers can use to draft high-quality data management and sharing plans that meet funder requirements. (2011). How to Appraise and SelectResearch Data for Curation. We have developed specific data management and sharing guidance for centres and collaborative research. It is fundamental to capture contextual details about how and why the data were created. detailed personal data) you should discuss appropriate security measures in line with the Data Protection legislation when handling and storing data, e.g. Assure that your data will remain accessible: Whatever approach you adopt, focus on making a convincing case that your data will remain accessible. I agree that data will be deposited and made available through ________________ which is an NIH-funded repository, and that these data will be shared with investigators working under an institution with a Federal Wide Assurance (FWA) and could be used for secondary study purposes such as finding genes that contribute to process of XXXXXX. An ESRC data management plan includes the following sections: Where research grant applicants plan to create new data as part of their ESRC-funded proposal, they must demonstrate that no other suitable data are available for re-use. Data Management Plans | Research Data Management @Harvard Summary of UK research funders expectationsfor the content of data management and sharing plans v4.0. There are many benefits to managing and sharing your data: Planning helps you to achieve these benefits; it is ultimately most useful to you. NIHs Genomic Data Sharing (GDS) policy may also apply to your research. How you will make the resource accessible to the potential audience(s) identified. Provide specific details on access: Reassure funders by being very clear about where, when and how your data will be made available. A technical plan submitted from the University of Bristol, also including comments from the reviewers. If you would like feedback on your plan, please send us an email. These justifications may also be of use in the event of a Freedom of Information request for your research data.[10]. Although part of the official submission, when not considered during peer review the attachment is maintained as a separate Data Management and Sharing (DMS) Plan document in the grant folder viewable via the Status Information screen in eRA Commons. NIH staff will monitor compliance with approved DMS Plans during the annual RPPR process as well. Wellcome Trust. Ensure you differentiate between the different types of data (secondary, personal, de-identified, anonymised etc.) Note that funding opportunities or ICs may have specific expectations (for example: scientific data to share, relevant standards, repository selection). A short list of key questions pertaining to Data Management Plans, How to Develop a Data Management and Sharing Plan The ESRC supports the position that most data can be curated and shared ethically, provided researchers pay attention right from the planning stages of research to the following aspects: Guidance on other rights including Freedom of Information Act. See our GDS Policy Overviewto learn more. There are lots of people within your institution and subject community who can offer advice and may be able to help develop your plan. Summarize the types (for example, 256-channel EEG data and fMRI images) and amount (for example, from 50 research participants) of scientific data to be generated and/or used in the research. The proposed research will involve a small sample (less than 20 participants) recruited from clinical facilities in the New York City area with Williams syndrome. The DCC provides a How to guide on appraisal, which offers practical strategies to help you select important data. The plans are an opportunity to demonstrate your awareness of good practice and reassure funders that your proposal is in line with their data policy. What data outputs will your research generate? The DCC has analysed UK funders policies (see Policy and legal) and developed various data management resources in response: DMPonline

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