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Kudos – helping increase the reach and impact of research DMPonline Funding bodies increasingly require their grant-holders to produce Data Management Plans(DMP), both during the bid-preparation stage and after funding has been secured. DMPonline has been produced by the UK's Digital Curation Centre to help research teams respond to this requirement, and any expectations that their institution or others may apply. The DCC has worked closely with research funders and universities to produce a tool that assists researchers to produce an effective data management plan (DMP) to cater for the whole lifecycle of a project, from bid-preparation stage through to completion. How the tool works There are a number of templates within the tool that represent the requirements of different funders and institutions. Getting Started If you have an account please sign in and start creating or editing your DMP. If you do not have a DMPonline account, click on 'Sign up' on the homepage. Please visit the 'Help' page for guidance. Additional Information Getting our ducks in a row

Planning Data - University of Huddersfield Why you should make a data management plan Both the University and most funding bodies encourage or require that researchers document how they will manage any data that they create. Sometimes a formal data management plan will be needed, but even an informal summary of what will be done will avoid many problems in the future. Working with others, both now, or in the future is made so much easier if data management planning is undertaken. You will need to consider how you create, store, manage and preserve your data, and there may be non-disclosure, confidentiality, or other arrangements to consider. If you plan ahead you will avoid problems such as: your data becoming inaccessible to future researchers, including yourselffailing to meet your funder's data management requirementslosing your data because it wasn't backed up properlyrunning out of storage spaceno longer understanding what your data mean because of inadequate documentation. DMP Online How the tool works Getting Started

ORCID | Connecting Research and Researchers Google Scholar Citations Help Google Scholar Citations provide a simple way for authors to keep track of citations to their articles. You can check who is citing your publications, graph citations over time, and compute several citation metrics. You can also make your profile public, so that it may appear in Google Scholar results when people search for your name, e.g., richard feynman. Best of all, it's quick to set up and simple to maintain - even if you have written hundreds of articles, and even if your name is shared by several different scholars. Get started with Google Scholar Citations Setting up your profile You can sign up for a Google Scholar Citations profile. First, sign to your Google account, or create one if you don't yet have one. Select the "Add" option from the Actions menu. To add one article at a time, click "Search articles" and then "Add article" next to the article you wish to add. If your search doesn't find the right article, click "Add article manually". Select both versions of the article.

UK research data discovery Following on from the initial pilot (phase one), this longer phase of the project will build on this pilot work and aims to lay the firm foundations for a UK research data discovery service Background In 2013, the Digital Curation Centre (DCC) and the UK Data Service piloted an approach to a registry service to aggregate metadata for research data held within UK universities and national, discipline specific data centres. This six month pilot, which engaged the support of a number higher education institutions (HEIs), tested an existing data registry architecture, based on the software and metadata requirements of Research Data Australia developed by the Australian National Data Service (ANDS). An essential feature was to initiate the engagement with stakeholders from the HEIs and data centres to ensure the pilot was designed to meet stakeholder requirements. The issue In order to be reused, research data must be discoverable. The solution About our project Related project

UK Data Archive - CREATE & MANAGE DATA 4 of 10: We hold the only copy of many of the UK's large national surveys charting social research back decades 5 of 10: We are an established national archive at the forefront of managing, preserving, sharing and delivering data 6 of 10: We are certified to ISO 27001, the information security standard, and helped develop the Data Seal of Approval 7 of 10: We are a collaborative organisation supporting emerging and existing creators and users of data 8 of 10: We provide best practice guidance and training in managing and sharing research data 9 of 10: You won’t be able to find your family records on our site. 10 of 10: We don’t provide ready-made statistics, but using Nesstar you can view frequencies from popular surveys 1 of 10: We provide continuous access to the UK’s largest collection of digital research data in the social sciences 2 of 10: We hold thousands of data collections for social science research and teaching, quantitative and qualitative

Funders' data policies Skip to Navigation Contact us Home > Resources > Policy And Legal > Funders Data Policies Funders' data policies Summaries of UK research funders' data policies are available through the menu on the left. The summaries provide links to the funder's full policy, note core stipulations and available support e.g. guidance and data centres. Details are available for: RCUK funders Non-RCUK funders In this section Related Documents DCC Curation Policies Report Joint Information Systems Committee

RCUK Common Principles on Data Policy - Research Councils UK Making research data available to users is a core part of the Research Councils’ remit and is undertaken in a variety of ways. We are committed to transparency and to a coherent approach across the research base. These RCUK common principles on data policy provide an overarching framework for individual Research Council policies on data policy. Principles 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.Institutional and project specific data management policies and plans should be in accordance with relevant standards and community best practice. Further guidance and information on the individual principles can be found within the guidance documentation .

Research Data Management - University of Leeds Research data shared service We’re working on a pilot service to allow researchers and institutions to meet their policy requirements for the deposit and curation of research data. What we’re doing The pilot service will enable researchers to easily deposit data for publication, discovery, safe storage, long term archiving and preservation. This means that they are able to provide sustainable access to research data so it can be re-used. We will: Produce a new system that can be offered as a managed service, relieving burden from institutional IT and procurement staffProcure research data management (RDM) services and consultancy to support pilot institutions’ RDM requirements and implementation We will focus on creating an intuitive user experience, providing ease of use for researchers and interoperability between institutional and external research systems. We will provide pilot institutions with a research object repository solution that will be funder policy compliant and will support best practice. Why this matters

Manage your research information The issue There’s an increasing obligation on universities to collect, analyse and report their research information. The Higher Education Statistics Agency (HESA), Research Excellence Framework (REF) and funders require detailed information about research outputs and outcomes. Universities also use information to inform and shape their strategies and showcase research. To meet these demands, they must increase the efficiency of their research information management systems, and ensure interoperability with key external stakeholders. What you can do Integrate your research management systems Research information is often scattered across systems: human resources; student records; grant management; publications databases; repositories and web pages. Efficient capture and exchange of research output information, and monitoring compliance with funder policiesAutomatic updates of researcher, departmental and institutional recordsShowcasing research without the need for manual web page updating.

News 2016 - ProQuest’s Pivot® Automatic Citation Ingest from ORCID Makes Its Funding Recommendation Engine More Powerful ANN ARBOR, MI, April 15, 2016 – ProQuest is enabling automated updates from ORCID to scholar profiles in its popular Pivot® research solution. Now, citations added or updated in a scholar’s ORCID profile will cascade near real time and seamlessly into their Pivot profile. Locating funding opportunities is an arduous task and securing research funding is becoming increasingly competitive, as funding opportunities are limited and the number of researchers vying for those opportunities continues to grow. Pivot uses researchers’ profile information in its recommendation engine, matching grants and collaborators to researchers. Integration of the updated publication information helps Pivot learn more about the scholar’s research area, improving the recommendation for funding sources and collaborators. “We are pleased to see this next step by ProQuest to reduce the data entry burden for researchers,” said Laure Haak, Executive Director at ORCID. About ORCID ( About Pivot

To see how research is judged in Great Britain by raviii Jun 7

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