data management in research

No single person or even business unit is responsible for all aspects of research data management so a collaborative approach is required. Sources of research data Research data can be generated for different purposes and through different processes. Data can be defined in a variety of ways, depending the discipline and the context. Perhaps the most common reasons to retain and manage research data are to ensure reproducibility and to facilitate online sharing. A DMP is a formal document that provides a framework for how to handle the data material during and after the research project. 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. Data citation underpins the recognition of data as a primary research output rather than as a by-product of research. 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. 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. RDM good practice improves validation of research results and research integrity. There are some excellent training programmes available online, including Mantra, a free online course developed through Jisc funding. Ultimately, the service should form part of the Jisc open research offer and join up to other Jisc services. As research becomes increasingly more complex, researchers can pool their resources towards a common goal: new discovery. Key steps a research institution needs to consider in research data management, before, during and after a research project. We are currently funding the development of the UK research data discovery service, which will aggregate metadata for research data held within UK universities and national, discipline-specific data centres to help ensure increased access to data. 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. Now, we are aiming to broaden our perspective to address the wider open science agenda, with aim of including all research outputs (including publications and methods – provenance/code/metadata). What is research data management? This … Your research data is crucial as it is the evidence base for your research findings. This guide provides an introduction to engaging with research data management (RDM) processes. My role covers a range of activities around product and service development. It has templates for all funders, and guidance (where available) from your institution. Effective data management is carried out for the entire lifecycle of the data. As both the creators and users of research data, researchers are crucial in the development of research data management and data sharing services. Our current priority is to deliver to the sector an effective end to end solution for research data management. The right place for your research data is likely to be your institution’s own data repository or possibly a disciplinary repository. 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. You can follow what we are doing on our blog. Learn about ways Pitt Libraries can help you! 'Research data management' is simply the effective handling of information that is created in the course of research. It’s worth remembering that the REF 2021 is committed to the fair and equal assessment of all types of research and forms of research output. 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. 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. If you continue with this browser, you may see unexpected results. Your research data is also a valuable resource that will have taken a great deal of time and money to create. This way you can track progress more easily, and mitigate against the risk of a team member leaving taking valuable knowledge about the nature and extent of work completed with them. Managing research data is usually an integral part of the research process, so you probably already do it. This requirement applies to both commercially and publicly-funded research. It involves the everyday management of research data during the lifetime of a research project (for example, using consistent file naming conventions). 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. Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. The DCC has published guidance on how researchers should respond when faced with an FOI request. 1 Introduction. A Jisc/Research Libraries UK (RLUK) service, SHERPA JULIET, lists open access publishing and data archiving policies. You can contact us by email: datasupport@helsinki.fi. I work within the exploratory side of Jisc, as opposed to the service delivery. 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 are the empirical basis for scientific findings. 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. 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 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. Libraries, learning resources and research. 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. Most funders now require the production of a data management plan (DMP). 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. incentives and motivations for sharing research data, a researcher’s perspective. 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. Institutional policies may also be in place, often in response to mandates from funders. 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. 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. There are a number of data citation initiatives, including DataCite, a registry assigning unique digital object identifiers (DOIs) to research data. Research data is any information that has been collected, observed, generated or created to validate original research findings. 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. Collaborations not only benefit researchers but journals as well. 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. Your institution needs to understand your research, its patterns and timetables, motivations and priorities. Read our quick guide to managing research data in your institution. Data Support at the University of Helsinki assists researchers in the management of research data. It describes the type of data you use for your research, how are collected, organized, and stored, and what formats you use. 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. While training of data management skills for researchers has been established in … 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. Mendeley Data was developed with institutional partners as a complete solution for managing and sharing research data. 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. Create a system that enables you to collect, record and interpret research data, while keeping it secure. 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. Aspects of data management will usually continue long after the initial research project has ended. Good management helps to prevent errors and increases the quality of your analyses. The DCC also maintains a number of citations professional support staff benefit from open data ” was by... Restrict our search to literature databases in the research process should define expectations through an RDM policy and... That include, but are not limited to partners as a complete solution for research data usually. 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