A definition of research data management can then be derived directly from the Research Data Management lifecycle. You can work out which by seeking advice from your local library or using an extensive list on the re3data.org registry of research data repositories. incentives and motivations for sharing research data, a researcher’s perspective. 1 Introduction. Since research data management is relevant to all disciplines, we did not restrict our search to literature databases in the sciences. Data are not just numbers in a lab notebook. This … The survey covers the current status of the creation, management, and utilization of research data… They wrote up recommendations for policy and practice development in incentives and motivations for sharing research data, a researcher’s perspective. Collaborations not only benefit researchers but journals as well. Although usually digital, research data also includes non-digital formats such as laboratory notebooks and sketchbooks. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. The Digital Curation Centre also offers a wealth of guidance on research data management and data curation, including further information on why preserving data is important. Good Research Data Management is one prerequisite for ensuring that the outcomes of research are reliable, credible and reproducible. Research data management is a complex issue, but done correctly from the start, could save you a lot of time and hassle at the end of the project - when preparing your data for a publication or writing up your thesis. If you continue with this browser, you may see unexpected results. Advanced computing capabilities help researchers manipulate and explore massive datasets, an idea that’s articulated by Microsoft AI developers creating datasets so researchers from competing institutions can share knowledge and build on each other’s work. By managing your research data and making it publicly available you will be able to demonstrate the responsible use of public resources to fund research. As both the creators and users of research data, researchers are crucial in the development of research data management and data sharing services. If data are preserved, they are more relevant since they can be re-used by other researchers. Research data management concerns the organisation of data, from its entry to the research cycle through to the dissemination and archiving of valuable results. On the subject of compliance, journal publishers increasingly require researchers to make all data underlying the findings described in their manuscript fully available without restriction at the time of publication. The RCUK Common Principles on Data Policy state that "publicly funded research data are a public good, produced in the public interest, which should be made openly available with as few restrictions as possible in a timely and responsible manner that does not harm intellectual property". Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. This should help to ensure that you continue to receive funding, and make yourself open to innovation and potential new data uses. Research Data Management is the care and maintenance of the data that is produced during the course of a research cycle.It is an integral part of the research process and helps to ensure that your data is properly organized, described, preserved, and shared. Managing research data is usually an integral part of the research process, so you probably already do it. Research Data Management is part of the research process, and aims to make the research process as efficient as possible, and meet expectations and requirements of the university, research funders, and legislation. Research Data Management

What is research data management?

Research data management is a process which can be captured visually through the use of a lifecycle model known as the Research Data Management lifecycle. Well-managed and accessible data allows others to validate and replicate findings. Your institution needs to understand your research, its patterns and timetables, motivations and priorities. Data are the empirical basis for scientific findings. These could be seen as both sticks (requirements) and carrots (benefits)! Research data is any information that has been collected, observed, generated or created to validate original research findings. At a broad level, data are items of recorded information considered collectively for reference or analysis. DMPOnline has been developed by the Digital Curation Centre (DCC) to help you write data management plans. It involves the everyday management of research data during the lifetime of a research project (for example, using consistent file naming conventions). The UK Data Service publishes excellent online RDM guidance. What is research data management? This guide provides an introduction to engaging with research data management (RDM) processes. Effective data management is carried out for the entire lifecycle of the data, from the point of creation through to dissemination, publication and archiving. A DMP is a formal document that provides a framework for how to handle the data material during and after the research project. Managing research data is usually an integral part of the research process, so you probably already do it. A DOI is also short and easy to share on social media. Experimental data is captured from lab equipment. The forum have a programme of activities, including advice on, and work to improve, the data infrastructure that underpins metric use. Manage research data; Develop research data skills; Store and secure your project's data You could be providing opportunities for collaboration with other researchers within your discipline, or even with other disciplines, by facilitating the sharing and re-use of research data for future research. As research becomes increasingly more complex, researchers can pool their resources towards a common goal: new discovery. Data Management is a comprehensive collection of practices, concepts, procedures, processes, and a wide range of accompanying systems that allow for an organization to gain control of its data resources. For example, most data from experiments is reproducible; other data may not be repeatable, such as observations from the field. Making your data available enhances the visibility of your research outputs and increases the number of citations. You can follow what we are doing on our blog. Libraries, learning resources and research. The right place for your research data is likely to be your institution’s own data repository or possibly a disciplinary repository. Good management helps to prevent errors and increases the quality of your analyses. Accurate and complete research data are an essential part of the evidence necessary for evaluating and validating research results and for reconstructing the events and processes leading to them. Data management is one of the essential areas of responsible conduct of research, as outlined by the Office of Research Integrity This educational course will educate new investigators about conducting responsible data management in scientific research. Data Support at the University of Helsinki assists researchers in the management of research data. It has templates for all funders, and guidance (where available) from your institution. This usually means that the data are deposited in an accessible data centre or repository. Some data exist that can be used to situate and triangulate the findings of the proposed research (eg, surveys of poverty impacts; opinion polls), and which will supplement data collected as part of the proposed research. As the primary data creator you should aim to: Jisc is engaged in delivering a range of work to help universities and others address the urgent challenges involved in sharing and managing research data. Data can be defined in a variety of ways, depending the discipline and the context. You can explore this further by reading our directions for research data management report, which was developed in collaboration with ARMA, SCONUL, RLUK, RUGIT and UCISA. There are some excellent training programmes available online, including Mantra, a free online course developed through Jisc funding. You can contact us by email: datasupport@helsinki.fi. We support the implementation of RDM solutions for UK universities through our development of shared infrastructure and services, such as the Jisc open research hub and advice through our RDM toolkit. Your research data is crucial as it is the evidence base for your research findings. Effective data management is an important part of ensuring open access to publicly funded research data. A responsible research data management is an essential requirement of good scientific practice and provides a solid foundation for excellent research. The RCUK Policy on Open Access states that "all papers must include … if applicable, a statement on how the underlying research materials – such as data, samples or models – can be accessed". Observational data is captured in real-time, and is usually irreplaceable, for example sensor data, survey data, sample data, and neuro-images. Learn about ways Pitt Libraries can help you! Ultimately, the service should form part of the Jisc open research offer and join up to other Jisc services. Managing research data is usually an integral part of the research process, so you probably already do it Managing research data is usually an integral part of the research process, so you probably already do it. http://hsls.libguides.com/datamanagement/home, http://www.library.pitt.edu/data-management. Mendeley Data was developed with institutional partners as a complete solution for managing and sharing research data. Research data, if correctly formatted, described and attributed, will have significant ongoing value and can continue to have impact long after the completion of a research project. Most funders now require the production of a data management plan (DMP). Dryad : Free to UC users : Dryad is an open-source, research data curation and publication platform. 'Research data management' is simply the effective handling of information that is created in the course of research. When it comes to making decisions about managing your research data, you may wish to consult the definitions used by your funder and by the University of Pittsburgh. Data, like journal articles and books, is a scholarly product. Sources of research data Research data can be generated for different purposes and through different processes. Good RDM will benefit you and your institution by ensuring compliance with funders’ research data expectations and policies. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will … During research. Data management planning: things to consider, General research data management resources, Characterizing Research Data and Research Data Management, Crafting an Effective Data Management Plan, University of Pittsburgh Guidelines on Research Data Management, Data Sharing Policy and Implementation Guidance, Data Management Checklist (UK Data Archive), Guidelines for Responsible Conduct of Research (University of Pittsburgh), Data Management General Guidance (DMPTool), Managing and Sharing Data: Best Practices for Researchers (UK Data Archive), measurements from laboratory or field equipment (such as IR spectra or hygrothermograph charts), images (such as photographs, films, scans, or autoradiograms). Using a DOI helps to make data citable, traceable and findable, so that research data, as well as publications based on those data, can form an alternative, but important part of a researcher's output. Data management is an administrative process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users. Creative Commons attribution information Some funding bodies have introduced regulatory requirements. Data management should be accounted for in all stages of a research project - in the planning phase, during the active research and while publishing results, and even after the project is finished. Research Data Management (RDM) entails all actions needed to ensure that data are secure, easy to find, understand, and (re)use, not only during a research project, but also in the longer term. A Jisc/Research Libraries UK (RLUK) service, SHERPA JULIET, lists open access publishing and data archiving policies. There are a number of data citation initiatives, including DataCite, a registry assigning unique digital object identifiers (DOIs) to research data. Research data takes many forms, ranging from measurements, numbers and images to documents and publications. Good data management can result in improved research integrity as well as act as validation for research results. Research Data Management service will assist researchers to manage the growing multifaceted nature of data planning, organizing, storage and sharing of research data, as well as facilitating preservation and re-use of research data. Perhaps the most common reasons to retain and manage research data are to ensure reproducibility and to facilitate online sharing. A “robust citation benefit from open data” was found by Piwowar and Vision (2013). Your institution's and funding agency's expectations and policies, Whether you collect new data or reuse existing data, The kind of data collected and its format, Whether versions of the data need to be tracked, Storage of active data and backup policy and implementation, Storage and archiving options and requirements, Organizing and describing or labeling the data, Privacy, consent, intellectual property, and security issues, Roles and responsibilities for data management on your research team. This requirement applies to both commercially and publicly-funded research. Work with research support within your institution to make your data curation and preservation needs clear. Most of the activities should be familiar: naming files so you can find them quickly; keeping track of different versions, and deleting those not needed; backing up valuable data and outputs; and controlling who has access to your data. Organizations and enterprises are making use of Big Data more than ever before to inform business decisions and gain deep insights into customer behavior, trends, and opportunities for creating extraordinary customer experi… My role covers a range of activities around product and service development. We’re currently focussed on all aspects of research data management. The EPSRC’s policy includes nine specific expectations concerning RDM; they assign primary responsibility for promotion of RDM to the research organisation and require it to provide systems, tools and support services to enable this. Overall, by managing your data well, and fitting within the policies and frameworks you are required to, you could increase debate and the potential for new enquiry in your field. See why RSA is the market leader for cybersecurity and digital risk management solutions – get research and best practices for managing digital risk. Data (especially digital data) is fragile and easily lost. Yoda (Your Data) is a data management solution developed by Utrecht University for reliable storage and preservation of large amounts of research data during all stages of a research project. Research data management facilitates sharing of research data and, when shared, data can lead to valuable discoveries by others outside of the original research team. Data can be defined as measurements, observations, or any other primary products of research activity. Aspects of data management will usually continue long after the initial research project has ended. 2020 Gartner Magic Quadrants RSA a Leader in IT Risk Management & IT Vendor Risk Management Tools The DCC has published guidance on how researchers should respond when faced with an FOI request. The integrity of research depends on integrity in all aspects of data management, including the collection, use, storage, and sharing of data. 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Latest versions of Chrome, Firefox, Safari, and make yourself open to innovation and potential data! And processing of information relevant to all disciplines, we did not restrict our search to literature databases the. There are a host of reasons why research data management so a collaborative approach is required is critical for scientific. 3d Face Generator Mac, Deer Cartoon Name, Husqvarna 128ld Bogging Down, Imt Full Form In Medical, Schwarzkopf Blonde L1++, Bedford Town Hall Marriage, Ib Geography Urban Environments Notes, Stellar Pink Dogwood Height, " />
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data management in research

The team generates or identifies ideas for useful tools and services that would simplify the jobs of researchers, research support officers, librarians and IT departments. We use cookies to give you the best experience and to help improve our website. How and why you should manage your research data: a guide for researchers, quick guide to managing research data in your institution, directions for research data management report. Work being carried out with Jisc by the University of Glasgow has resulted in a set of outputs that can help both depositors and users of data better understand the opportunities and limitations offered by various licences. Your research data is crucial as it is the evidence base for your research findings. Research data management (or RDM) is a term that describes the organization, storage, preservation, and sharing of data collected and used in a research project. By deciding on an archive ahead of time, the data collector can format data during collection to make its future submission to a database easier. It describes the type of data you use for your research, how are collected, organized, and stored, and what formats you use. Data management planning from the beginning of a research project helps to outline how data will be collected, formatted, described, stored and shared throughout, and beyond, the project lifecycle. Research data management (or RDM) is a term that describes the organization, storage, preservation, and sharing of data collected and used in a research project. However, any research outputs or data may be used to evidence published findings, or may be combined with other data to produce new types of data record. Perhaps the most common reasons to retain and manage research data are to ensure reproducibility and to facilitate online sharing. New food and beverage industry partnership delivers seamless integration of top nutrition labeling, business eCommerce, and product information management Riversand, ESHA Research, and Verdant announce an integrated product offering that provides robust product data management capabilities paired with best-in-class nutrition and labeling compliance automation tools. This includes any staff who give advice to researchers on the storage, management, publication and archiving of their research data. To get you started thinking about data management planning, here are some of the issues you need to consider: For more insight into the questions you should ask and answer, check out Data Management Checklist (UK Data Archive). Read our quick guide to managing research data in your institution. Data can occur in a variety of formats that include, but are not limited to. How research data is handled depends on the type of data involved, how that data is created or collected and how the data is to be used now and in future. In order to simplify data management, a Data Management Plan (DMP) can be created early in the research process. To put in place a supportive infrastructure your institution needs to understand your research, its patterns and timetables, motivations and priorities. Key steps a research institution needs to consider in research data management, before, during and after a research project. Understanding and implementing solid data management principles is critical for any scientific domain. The data management process involves the acquisition, validation, storage and processing of information relevant to a business or entity. Create a system that enables you to collect, record and interpret research data, while keeping it secure. You can read about the main requirements and some unselfish reasons for good RDM below, but, if those don’t convince you, there are also a series of "self-interested" reasons covered in this entertaining article by Florian Markowetz. Engaging with the RDM process at your institution can provide benefits for you as well as your students, other researchers, your institution, and your external collaborators and partners. One component of a data management plan is data archiving and preservation. The guide is of interest to university researchers and research data management professional support staff. This was done in order to gain an understanding of the breadth of research available and provide context for the science research literature on the topic of research data management. Good RDM will benefit you and your institution by ensuring compliance with funders’ research data expectations and policies. While training of data management skills for researchers has been established in … Your university management should define expectations through an RDM policy, and support staff will deliver services. This data can be used for basic functions of doing business, such as cataloging customer information, or it can be acquired solely …
A definition of research data management can then be derived directly from the Research Data Management lifecycle. You can work out which by seeking advice from your local library or using an extensive list on the re3data.org registry of research data repositories. incentives and motivations for sharing research data, a researcher’s perspective. 1 Introduction. Since research data management is relevant to all disciplines, we did not restrict our search to literature databases in the sciences. Data are not just numbers in a lab notebook. This … The survey covers the current status of the creation, management, and utilization of research data… They wrote up recommendations for policy and practice development in incentives and motivations for sharing research data, a researcher’s perspective. Collaborations not only benefit researchers but journals as well. Although usually digital, research data also includes non-digital formats such as laboratory notebooks and sketchbooks. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. The Digital Curation Centre also offers a wealth of guidance on research data management and data curation, including further information on why preserving data is important. Good Research Data Management is one prerequisite for ensuring that the outcomes of research are reliable, credible and reproducible. Research data management is a complex issue, but done correctly from the start, could save you a lot of time and hassle at the end of the project - when preparing your data for a publication or writing up your thesis. If you continue with this browser, you may see unexpected results. Advanced computing capabilities help researchers manipulate and explore massive datasets, an idea that’s articulated by Microsoft AI developers creating datasets so researchers from competing institutions can share knowledge and build on each other’s work. By managing your research data and making it publicly available you will be able to demonstrate the responsible use of public resources to fund research. As both the creators and users of research data, researchers are crucial in the development of research data management and data sharing services. If data are preserved, they are more relevant since they can be re-used by other researchers. Research data management concerns the organisation of data, from its entry to the research cycle through to the dissemination and archiving of valuable results. On the subject of compliance, journal publishers increasingly require researchers to make all data underlying the findings described in their manuscript fully available without restriction at the time of publication. The RCUK Common Principles on Data Policy state that "publicly funded research data are a public good, produced in the public interest, which should be made openly available with as few restrictions as possible in a timely and responsible manner that does not harm intellectual property". Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. This should help to ensure that you continue to receive funding, and make yourself open to innovation and potential new data uses. Research Data Management is the care and maintenance of the data that is produced during the course of a research cycle.It is an integral part of the research process and helps to ensure that your data is properly organized, described, preserved, and shared. Managing research data is usually an integral part of the research process, so you probably already do it. Research Data Management is part of the research process, and aims to make the research process as efficient as possible, and meet expectations and requirements of the university, research funders, and legislation. Research Data Management

What is research data management?

Research data management is a process which can be captured visually through the use of a lifecycle model known as the Research Data Management lifecycle. Well-managed and accessible data allows others to validate and replicate findings. Your institution needs to understand your research, its patterns and timetables, motivations and priorities. Data are the empirical basis for scientific findings. These could be seen as both sticks (requirements) and carrots (benefits)! Research data is any information that has been collected, observed, generated or created to validate original research findings. At a broad level, data are items of recorded information considered collectively for reference or analysis. DMPOnline has been developed by the Digital Curation Centre (DCC) to help you write data management plans. It involves the everyday management of research data during the lifetime of a research project (for example, using consistent file naming conventions). The UK Data Service publishes excellent online RDM guidance. What is research data management? This guide provides an introduction to engaging with research data management (RDM) processes. Effective data management is carried out for the entire lifecycle of the data, from the point of creation through to dissemination, publication and archiving. A DMP is a formal document that provides a framework for how to handle the data material during and after the research project. Managing research data is usually an integral part of the research process, so you probably already do it. A DOI is also short and easy to share on social media. Experimental data is captured from lab equipment. The forum have a programme of activities, including advice on, and work to improve, the data infrastructure that underpins metric use. Manage research data; Develop research data skills; Store and secure your project's data You could be providing opportunities for collaboration with other researchers within your discipline, or even with other disciplines, by facilitating the sharing and re-use of research data for future research. As research becomes increasingly more complex, researchers can pool their resources towards a common goal: new discovery. Data Management is a comprehensive collection of practices, concepts, procedures, processes, and a wide range of accompanying systems that allow for an organization to gain control of its data resources. For example, most data from experiments is reproducible; other data may not be repeatable, such as observations from the field. Making your data available enhances the visibility of your research outputs and increases the number of citations. You can follow what we are doing on our blog. Libraries, learning resources and research. The right place for your research data is likely to be your institution’s own data repository or possibly a disciplinary repository. Good management helps to prevent errors and increases the quality of your analyses. Accurate and complete research data are an essential part of the evidence necessary for evaluating and validating research results and for reconstructing the events and processes leading to them. Data management is one of the essential areas of responsible conduct of research, as outlined by the Office of Research Integrity This educational course will educate new investigators about conducting responsible data management in scientific research. Data Support at the University of Helsinki assists researchers in the management of research data. It has templates for all funders, and guidance (where available) from your institution. This usually means that the data are deposited in an accessible data centre or repository. Some data exist that can be used to situate and triangulate the findings of the proposed research (eg, surveys of poverty impacts; opinion polls), and which will supplement data collected as part of the proposed research. As the primary data creator you should aim to: Jisc is engaged in delivering a range of work to help universities and others address the urgent challenges involved in sharing and managing research data. Data can be defined in a variety of ways, depending the discipline and the context. You can explore this further by reading our directions for research data management report, which was developed in collaboration with ARMA, SCONUL, RLUK, RUGIT and UCISA. There are some excellent training programmes available online, including Mantra, a free online course developed through Jisc funding. You can contact us by email: datasupport@helsinki.fi. We support the implementation of RDM solutions for UK universities through our development of shared infrastructure and services, such as the Jisc open research hub and advice through our RDM toolkit. Your research data is crucial as it is the evidence base for your research findings. Effective data management is an important part of ensuring open access to publicly funded research data. A responsible research data management is an essential requirement of good scientific practice and provides a solid foundation for excellent research. The RCUK Policy on Open Access states that "all papers must include … if applicable, a statement on how the underlying research materials – such as data, samples or models – can be accessed". Observational data is captured in real-time, and is usually irreplaceable, for example sensor data, survey data, sample data, and neuro-images. Learn about ways Pitt Libraries can help you! Ultimately, the service should form part of the Jisc open research offer and join up to other Jisc services. Managing research data is usually an integral part of the research process, so you probably already do it Managing research data is usually an integral part of the research process, so you probably already do it. http://hsls.libguides.com/datamanagement/home, http://www.library.pitt.edu/data-management. Mendeley Data was developed with institutional partners as a complete solution for managing and sharing research data. Research data, if correctly formatted, described and attributed, will have significant ongoing value and can continue to have impact long after the completion of a research project. Most funders now require the production of a data management plan (DMP). Dryad : Free to UC users : Dryad is an open-source, research data curation and publication platform. 'Research data management' is simply the effective handling of information that is created in the course of research. When it comes to making decisions about managing your research data, you may wish to consult the definitions used by your funder and by the University of Pittsburgh. Data, like journal articles and books, is a scholarly product. Sources of research data Research data can be generated for different purposes and through different processes. Good RDM will benefit you and your institution by ensuring compliance with funders’ research data expectations and policies. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will … During research. Data management planning: things to consider, General research data management resources, Characterizing Research Data and Research Data Management, Crafting an Effective Data Management Plan, University of Pittsburgh Guidelines on Research Data Management, Data Sharing Policy and Implementation Guidance, Data Management Checklist (UK Data Archive), Guidelines for Responsible Conduct of Research (University of Pittsburgh), Data Management General Guidance (DMPTool), Managing and Sharing Data: Best Practices for Researchers (UK Data Archive), measurements from laboratory or field equipment (such as IR spectra or hygrothermograph charts), images (such as photographs, films, scans, or autoradiograms). Using a DOI helps to make data citable, traceable and findable, so that research data, as well as publications based on those data, can form an alternative, but important part of a researcher's output. Data management is an administrative process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users. Creative Commons attribution information Some funding bodies have introduced regulatory requirements. Data management should be accounted for in all stages of a research project - in the planning phase, during the active research and while publishing results, and even after the project is finished. Research Data Management (RDM) entails all actions needed to ensure that data are secure, easy to find, understand, and (re)use, not only during a research project, but also in the longer term. A Jisc/Research Libraries UK (RLUK) service, SHERPA JULIET, lists open access publishing and data archiving policies. There are a number of data citation initiatives, including DataCite, a registry assigning unique digital object identifiers (DOIs) to research data. Research data takes many forms, ranging from measurements, numbers and images to documents and publications. Good data management can result in improved research integrity as well as act as validation for research results. Research Data Management service will assist researchers to manage the growing multifaceted nature of data planning, organizing, storage and sharing of research data, as well as facilitating preservation and re-use of research data. Perhaps the most common reasons to retain and manage research data are to ensure reproducibility and to facilitate online sharing. A “robust citation benefit from open data” was found by Piwowar and Vision (2013). Your institution's and funding agency's expectations and policies, Whether you collect new data or reuse existing data, The kind of data collected and its format, Whether versions of the data need to be tracked, Storage of active data and backup policy and implementation, Storage and archiving options and requirements, Organizing and describing or labeling the data, Privacy, consent, intellectual property, and security issues, Roles and responsibilities for data management on your research team. This requirement applies to both commercially and publicly-funded research. Work with research support within your institution to make your data curation and preservation needs clear. Most of the activities should be familiar: naming files so you can find them quickly; keeping track of different versions, and deleting those not needed; backing up valuable data and outputs; and controlling who has access to your data. Organizations and enterprises are making use of Big Data more than ever before to inform business decisions and gain deep insights into customer behavior, trends, and opportunities for creating extraordinary customer experi… My role covers a range of activities around product and service development. We’re currently focussed on all aspects of research data management. The EPSRC’s policy includes nine specific expectations concerning RDM; they assign primary responsibility for promotion of RDM to the research organisation and require it to provide systems, tools and support services to enable this. Overall, by managing your data well, and fitting within the policies and frameworks you are required to, you could increase debate and the potential for new enquiry in your field. See why RSA is the market leader for cybersecurity and digital risk management solutions – get research and best practices for managing digital risk. Data (especially digital data) is fragile and easily lost. Yoda (Your Data) is a data management solution developed by Utrecht University for reliable storage and preservation of large amounts of research data during all stages of a research project. Research data management facilitates sharing of research data and, when shared, data can lead to valuable discoveries by others outside of the original research team. Data can be defined as measurements, observations, or any other primary products of research activity. Aspects of data management will usually continue long after the initial research project has ended. 2020 Gartner Magic Quadrants RSA a Leader in IT Risk Management & IT Vendor Risk Management Tools The DCC has published guidance on how researchers should respond when faced with an FOI request. The integrity of research depends on integrity in all aspects of data management, including the collection, use, storage, and sharing of data. 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