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| data management plan checklist: Data Management Margaret E. Henderson, 2016-10-25 Libraries organize information and data is information, so it is natural that librarians should help people who need to find, organize, use, or store data. Organizations need evidence for decision making; data provides that evidence. Inventors and creators build upon data collected by others. All around us, people need data. Librarians can help increase the relevance of their library to the research and education mission of their institution by learning more about data and how to manage it. Data Management will guide readers through: Understanding data management basics and best practices. Using the reference interview to help with data management Writing data management plans for grants. Starting and growing a data management service. Finding collaborators inside and outside the library. Collecting and using data in different disciplines. |
| data management plan checklist: Data Management in Large-Scale Education Research Crystal Lewis, 2024-07-09 Research data management is becoming more complicated. Researchers are collecting more data, using more complex technologies, all the while increasing the visibility of our work with the push for data sharing and open science practices. Ad hoc data management practices may have worked for us in the past, but now others need to understand our processes as well, requiring researchers to be more thoughtful in planning their data management routines. This book is for anyone involved in a research study involving original data collection. While the book focuses on quantitative data, typically collected from human participants, many of the practices covered can apply to other types of data as well. The book contains foundational context, instructions, and practical examples to help researchers in the field of education begin to understand how to create data management workflows for large-scale, typically federally funded, research studies. The book starts by describing the research life cycle and how data management fits within this larger picture. The remaining chapters are then organized by each phase of the life cycle, with examples of best practices provided for each phase. Finally, considerations on whether the reader should implement, and how to integrate those practices into a workflow, are discussed. Key Features: Provides a holistic approach to the research life cycle, showing how project management and data management processes work in parallel and collaboratively Can be read in its entirety, or referenced as needed throughout the life cycle Includes relatable examples specific to education research Includes a discussion on how to organize and document data in preparation for data sharing requirements Contains links to example documents as well as templates to help readers implement practices |
| data management plan checklist: Managing and Sharing Research Data Louise Corti, Veerle Van den Eynden, Libby Bishop, Matthew Woollard, 2019-10-07 Written by experts at the UK Data Archive, with over thirty years of experience in working with and teaching people to work with data, this book is the globally-reaching guide for any postgraduate student or researcher looking to build their data management skills. Focused on both primary and secondary data and packed with checklists and templates, it contains everything readers need to know for managing all types data before, during, and after the research process. Building on foundational data management techniques, it offers practical advice and insight into the unique skills needed to work with newer forms of data, like social media and big data. It also demonstrates how to: - Identify quality data that is credible, ethically-sound, and available for use - Choose and collect data suitable for particular research questions and project scopes - Work with personal, communal, administrative, and other sensitive and public data - Make the most of metadata - Visualise and share data using innovative platforms like blogs, infographics, and podcasts. |
| data management plan checklist: Research Data Management Joyce M. Ray, 2014 It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximize the return on investment of public funds. To meet this challenge, colleges and universities are adding data services to existing infrastructures by drawing on the expertise of information professionals who are already involved in the acquisition, management and preservation of data in their daily jobs. Data services include planning and implementing good data management practices, thereby increasing researchers' ability to compete for grant funding and ensuring that data collections with continuing value are preserved for reuse. This volume provides a framework to guide information professionals in academic libraries, presses, and data centers through the process of managing research data from the planning stages through the life of a grant project and beyond. It illustrates principles of good practice with use-case examples and illuminates promising data service models through case studies of innovative, successful projects and collaborations. |
| data management plan checklist: Farm data management, sharing and services for agriculture development Food and Agriculture Organization of the United Nations , 2021-02-26 This book aims to strengthen the skills of professionals who use, manage data for the benefit of farmers and farmers organizations by exposing them to the topics of importance of data in the agriculture value chain and how new and existing technologies, products and services can leverage farm level and global data to improve yield, reduce loss, add value and increase profitability and resilience. |
| data management plan checklist: Managing Research Data Graham Pryor, 2012-01-20 This title defines what is required to achieve a culture of effective data management offering advice on the skills required, legal and contractual obligations, strategies and management plans and the data management infrastructure of specialists and services. Data management has become an essential requirement for information professionals over the last decade, particularly for those supporting the higher education research community, as more and more digital information is created and stored. As budgets shrink and funders of research demand evidence of value for money and demonstrable benefits for society, there is increasing pressure to provide plans for the sustainable management of data. Ensuring that important data remains discoverable, accessible and intelligible and is shared as part of a larger web of knowledge will mean that research has a life beyond its initial purpose and can offer real utility to the wider community. This edited collection, bringing together leading figures in the field from the UK and around the world, provides an introduction to all the key data issues facing the HE and information management communities. Each chapter covers a critical element of data management: • Why manage research data? • The lifecycle of data management • Research data policies: principles, requirements and trends • Sustainable research data • Data management plans and planning • Roles and responsibilities – libraries, librarians and data • Research data management: opportunities and challenges for HEIs • The national data centres • Contrasting national research data strategies: Australia and the USA • Emerging infrastructure and services for research data management and curation in the UK and Europe Readership: This is essential reading for librarians and information professionals working in the higher education sector, the research community, policy makers and university managers. It will also be a useful introduction for students taking courses in information management, archivists and national library services. |
| data management plan checklist: Delivering Research Data Management Services Graham Pryor, Sarah Jones, Angus Whyte, 2013-12-10 Step-by-step guidance to setting up and running effective institutional research data management services to support researchers and networks. The research landscape is changing, with key global research funders now requiring institutions to demonstrate how they will preserve and share research data. However, the practice of structured research data management is very new, and the construction of services remains experimental and in need of models and standards of approach. This groundbreaking guide will lead researchers, institutions and policy makers through the processes needed to set up and run effective institutional research data management services. This ‘how to’ guide provides a step-by-step explanation of the components for an institutional service. Case studies from the newly emerging service infrastructures in the UK, USA and Australia draw out the lessons learnt. Different approaches are highlighted and compared; for example, a researcher-focused strategy from Australia is contrasted with a national, top-down approach, and a national research data management service is discussed as an alternative to institutional services. Key topics covered: • Research data provision • Options and approaches to research data management service provision • A spectrum of roles, responsibilities and competences • A pathway to sustainable research data services: from scoping to sustainability • The range and components of RDM infrastructure and services Case studies: • Johns Hopkins University • University of Southampton • Monash University • The UK Data Service • Jisc Managing Research Data programmes. Readership: This book will be an invaluable guide to those entering a new and untried enterprise. It will be particularly relevant to heads of libraries, information technology managers, research support office staff and research directors planning for these types of services. It will also be of interest to researchers, funders and policy makers as a reference tool for understanding how shifts in policy will have a range of ramifications within institutions. Library and information science students will find it an informative window on an emerging area of practice. |
| data management plan checklist: How to be FAIR with Your Data Claudia Engelhardt, Raisa Barthauer, Katarzyna Biernacka, Aoife Coffey, Ronald Cornet, Alina Danciu, Yuri Demchenko, Stephen Downes, Christopher Erdmann, Federica Garbuglia, Kerstin Germer, Kerstin Helbig, Margareta Hellström, Kristina Hettne, Dawn Hibbert, Mijke Jetten, Yulia Karimova, Karsten Kryger Hansen, Mari Elisa Kuusniemi, Viviana Letizia, Valerie McCutcheon, Barbara McGillivray, Jenny Ostrop, Britta Petersen, Ana Petrus, Stefan Reichmann, Najla Rettberg, Carmen Reverté, Nick Rochlin, Bregt Saenen, Birgit Schmidt, Jolien Scholten, Hugh Shanahan, Armin Straube, Veerle Van den Eynden, Justine Vandendorpe, Shanmugasundaram Venkataram, André Vieira, Cord Wiljes, Ulrike Wuttke, Joanne Yeomans, Biru Zhou, 2022 This handbook was written and edited by a group of about 40 collaborators in a series of six book sprints that took place between 1 and 10 June 2021. It aims to support higher education institutions with the practical implementation of content relating to the FAIR principles in their curricula, while also aiding teaching by providing practical material, such as competence profiles, learning outcomes, lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021. |
| data management plan checklist: Data Management for Researchers Kristin Briney, 2015-09-01 A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline. —Robert Buntrock, Chemical Information Bulletin |
| data management plan checklist: Digital Humanities for Librarians Emma Annette Wilson, 2020-01-15 Digital Humanities For Librarians. Some librarians are born to digital humanities; some aspire to digital humanities; and some have digital humanities thrust upon them. Digital Humanities For Librarians is a one-stop resource for librarians and LIS students working in this growing new area of academic librarianship. The book begins by introducing digital humanities, addressing key questions such as, “What is it?”, “Who does it?”, “How do they do it?”, “Why do they do it?”, and “How can I do it?”. This broad overview is followed by a series of practical chapters answering those questions with step-by-step approaches to both the digital and the human elements of digital humanities librarianship. Digital Humanities For Librarians covers a wide range of technologies currently used in the field, from creating digital exhibits, archives, and databases, to digital mapping, text encoding, and computational text analysis (big data for the humanities). However, the book never loses sight of the all-important human component to digital humanities work, and culminates in a series of chapters on management and personnel strategies in this area. These chapters walk readers through approaches to project management, effective collaboration, outreach, the reference interview for digital humanities, sustainability, and data management, making this a valuable resource for administrators as well as librarians directly involved in digital humanities work. There is also a consideration of budgeting questions, including strategies for supporting digital humanities work on a shoestring. Special features include: Case studies of a wide range of projects and management issues Digital instructional documents guiding readers through specific digital technologies and techniques An accompanying website featuring digital humanities tools and resources and digital interviews with librarians and scholars leading the way in digital humanities work across North America, from a range of larger and smaller institutions Whether you are a librarian primarily working in digital humanities for the first time, a student hoping to do so, or a librarian in a cognate area newly-charged with these responsibilities, Digital Humanities For Librarians will be with you every step of the way, drawing on the author’s experiences and those of a network of librarians and scholars to give you the practical support and guidance needed to bring your digital humanities initiatives to life. |
| data management plan checklist: Research Data Access and Management in Modern Libraries Bhardwaj, Raj Kumar, Banks, Paul, 2019-05-15 Handling and archiving data should be done in a highly professional and quality-controlled manner. For academic and research libraries, it is required to know how to document data and support traceability, as well as to make it reusable and productive. However, these institutions have different requirements relating to the archiving and reusability of data. Therefore, a comprehensive source of information is required to understand data access and management within these organizations. Research Data Access and Management in Modern Libraries is a critical scholarly resource that delves into innovative data management strategies and strategy implementation in library settings and provides best practices to stakeholders using the latest tools and technology. It further explores concepts such as research data management, data access, data preservation, building document and data institutional repositories, applications of Web 2.0 tools, mobile technology applications in data access, and conducting information literacy programs. This book is ideal for librarians, information specialists, research scholars, students, IT managers, computer scientists, policymakers, educators, and academic administrators. |
| data management plan checklist: Exploring Research Data Management Andrew Cox, Eddy Verbaan, 2018-05-11 Research Data Management (RDM) has become a professional topic of great importance internationally following changes in scholarship and government policies about the sharing of research data. Exploring Research Data Management provides an accessible introduction and guide to RDM with engaging tasks for the reader to follow and develop their knowledge. Starting by exploring the world of research and the importance and complexity of data in the research process, the book considers how a multi-professional support service can be created then examines the decisions that need to be made in designing different types of research data service from local policy creation, training, through to creating a data repository. Coverage includes: A discussion of the drivers and barriers to RDM Institutional policy and making the case for Research Data Services Practical data management Data literacy and training researchers Ethics and research data services Case studies and practical advice from working in a Research Data Service. This book will be useful reading for librarians and other support professionals who are interested in learning more about RDM and developing Research Data Services in their own institution. It will also be of value to students on librarianship, archives, and information management courses studying topics such as RDM, digital curation, data literacies and open science. |
| data management plan checklist: Data and Information in Online Environments Rogério Mugnaini, 2020-06-15 This book constitutes the refereed post-conference proceedings of the First International Conference on Data and Information in Online Environments, DIONE 2020, which took place in Florianópolis, Brazil, in March 2020. DIONE 2020 handles the growing interaction between the information sciences, communication sciences and computer sciences. The 18 revised full papers were carefully reviewed and selected from 37 submissions and focus on the production, dissemination and evaluation of contents in online environments. The goal is to improve cooperation between data science, natural language processing, data engineering, big data, research evaluation, network science, sociology of science and communication communities. |
| data management plan checklist: Keys to Running Successful Research Projects Katherine Christian, 2018-04-23 Keys to Running Successful Research Projects: All the Things They Never Teach You provides a step-by-step guide for the management of a successful research project or program. Through the use of illustrative case studies, the book covers all aspects of management that should be included during researcher training, helping researchers overcome the many challenges they face in their day-to-day management of people, time and resources. Links throughout provide more detailed information from gold standard sources on every topic. It is a must-have reference for postdocs, research managers and administrators in colleges, universities, hospitals and research institutes. In addition, it is an ideal resource for those working in grant and contract funding groups in the life sciences and medical fields. - Covers the nuts and bolts of research management in the life sciences, medical and health fields - Provides simple solutions to issues that come up on the job - Ensures that hard-fought for money is spent wisely and well |
| data management plan checklist: Memory Curators and Memory Archivists in the Digital Memory Age Andrew McFadzean, 2023-07-11 This book centres around the reinvention of the traditional roles of librarian and archivist in the digital age, exploring their position as memory makers and curators. The author details the skillsets and methods available to them for the purpose of identifying, collecting, selecting, refining, reducing and summarising a flood of data into useful business information through the eSARS process. Then, the author describes the skills and concepts used by recordkeepers when dealing with the curated information so that only valued business information is selected, registered, protected and accessed. Acknowledging the influence of our current climate crisis, the book details the evolution from paper-based corporate knowledge to digital-human collective intelligence. This book relies heavily on the systems analysis concepts of recordkeeping informatics such as information culture, the records continuum, metadata, business processes and access. This book combines the artistic science of curation with the science of digital recordkeeping to assume control over information in the Digital Memory Age. |
| data management plan checklist: Managing and Sharing Research Data Louise Corti, Veerle Van den Eynden, Libby Bishop, Matthew Woollard, 2014-02-04 Research funders in the UK, USA and across Europe are implementing data management and sharing policies to maximize openness of data, transparency and accountability of the research they support. Written by experts from the UK Data Archive with over 20 years experience, this book gives post-graduate students, researchers and research support staff the data management skills required in today’s changing research environment. The book features guidance on: how to plan your research using a data management checklist how to format and organize data how to store and transfer data research ethics and privacy in data sharing and intellectual property rights data strategies for collaborative research how to publish and cite data how to make use of other people’s research data, illustrated with six real-life case studies of data use. |
| data management plan checklist: Practical Tips for Facilitating Research Moira J. Bent, 2016-03-16 This practical guide offers innovative tips and reliable best practice to enable new and experienced library and information professionals to evaluate their current provision and develop their service to meet the evolving needs of the research community. Interacting effectively with information is at the heart of all research, consequently information professionals have a key role to play in facilitating the development of researchers who are able to operate confidently and successfully in the information world. Grounded in current theory and informed by practitioners from around the world, this practical book offers a wide range of ideas and methods to assist library and information professionals in developing and managing their role in the research environment. Part of the Practical Tips for Library and Information Professionals series, the book is organised into eight sections: landscapes and models structures and strategies places and spaces library staff roles collections specific interventions in the research process or lifecycle teaching approaches information literacy skills workshops and programmes. Practical Tips for Facilitating Research will be essential reading for academic liaison librarians, research support librarians and all library and information professionals who work with research staff and students. |
| data management plan checklist: Data Governance John Ladley, 2019-11-08 Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. - Incorporates industry changes, lessons learned and new approaches - Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations - Includes new case studies which detail real-world situations - Explores all of the capabilities an organization must adopt to become data driven - Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional - Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities - Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy - Provides up to 75% brand-new content compared to the first edition |
| data management plan checklist: Research and Advanced Technology for Digital Libraries Mounia Lalmas, Joemon Jose, Andreas Rauber, Ingo Frommholz, Roberto Sebastiani, 2010-08-30 This book constitutes the proceedings of the 14th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2010, held in Glasgow, UK, in September 2010. The 22 long papers, 14 short papers, 19 posters and 9 demos presented in this volume were carefully reviewed and selected from 102 full paper submissions, 40 poster submissions, and 13 demo submissions. In addition the book contains the abstract of a keynote speech and an appendix stating information on the doctoral consortium, the workshops, and tutorials, as well as the panel, which were held at the conference. The papers are grouped in topical sections on system architectures, metadata, multimedia IR, interaction and interoperability, digital preservation, social Web/Web 2.0, search in digital libraries, (meta) analysis of digital libraries, query log analysis, cooperative work in DLs, ontologies, and domain-specific DLs, posters and demos. |
| data management plan checklist: Doing Good Qualitative Research Associate Professor of Political Science Jennifer Cyr, Jennifer Cyr, Chancellor's Fellow and Dean's Professor of Political Science Sara Wallace Goodman, Sara Wallace Goodman, 2024 In Doing Good Qualitative Research, Jennifer Cyr and Sara Wallace Goodman bring together over forty experts to provide one of the first comprehensive introductions to using qualitative methods across the social sciences, from start to finish. Each chapter introduces the theoretical considerations and best practices involved in the application of qualitative data collection and analysis. Additionally, contributors provide first-person accounts of methodology in action, address the expected and unexpected challenges associated with conducting qualitative research, and demonstrate the real-world applications of academic debates. |
| data management plan checklist: Principles and Practice of Pharmaceutical Medicine Lionel D. Edwards, Anthony W. Fox, Peter D. Stonier, 2011-07-12 The new edition of Principles and Practice of Pharmaceutical Medicine is a comprehensive reference guide to all aspects of pharmaceutical medicine. New content includes chapters and coverage on regulatory updates, increasing international harmonization, transitional and probabilistic approaches to drug development, the growing sophistication and regulatory importance of pharmacovigilance, personalized medicine and growth in biotechnology as a source of new experimental drugs. |
| data management plan checklist: Good practices guidance handbook for national TB surveys , 2021-04-01 The purpose of this document is to describe and explain how to apply the principles of good clinical practices (GCP) and good data management practices (GDMP) in the context of national tuberculosis (TB) surveys, namely national population-based surveys of TB prevalence, anti-TB drug resistance surveys, and surveys of costs faced by TB patients and their households. The primary target audience for this handbook includes national TB programmes (NTPs) and partners involved in the planning, design, conduct, oversight, analysis and reporting of a national TB survey. The in-country national survey coordination team is responsible for ensuring that all survey team members conform to this guidance document. |
| data management plan checklist: Software Project Management in Practice Pankaj Jalote, 2002 This text provides information on core software project management practices. It includes extensive examples and a running, start-to-finish case study. It is aimed at all project managers and software professionals who may manage projects. |
| data management plan checklist: The Postgraduate's Guide to Research Ethics Alice Temple, 2019-09-11 Drawing together the philosophical principles of research and the application of ethical theories to real-life case studies, this text provides a complete start-to-finish guide to research ethics for postgraduate researchers of all subject areas. It begins with a brief survey of ethical theories, before showing readers how to construct an ethics proposal. It then goes on to examine ethical issues as they relate to various methodologies, including interviews, participant observation, focus groups and questionnaires. Key themes such as online research, privacy and confidentiality and the involvement of children and vulnerable populations in research are also covered. The book concludes with a chapter addressing ethical issues which may arise once the research has been completed. Chapters are enriched and enlivened with case studies, 'ethical perspectives' boxes and 'ask yourself' questions for readers to consider. This text will be an invaluable source of guidance on the ethics application process and ethical issues in research for all postgraduate researchers. |
| data management plan checklist: The Craft of Qualitative Longitudinal Research Bren Neale, 2021-03-17 Brimming with life maps, life history calendars, and extracts from transcripts and diaries, this book illustrates by example the unique principles, challenges, and applications of qualitative longitudinal research. Synthesizing current literature on qualitative longitudinal research, it brings together sociological theory and empirically driven longitudinal studies while also highlighting a range of possible research approaches. With a consistent balance of conceptual discussions with hands-on advice, it provides readers with the foundation to adapt lessons-learned from other researchers to fit their own qualitative longitudinal studies. Supported by research tools such as conceptual road maps, short data extracts, consent forms, and other data organization tools, this book provides everything postgraduate researchers need to transition from the classroom to the field. |
| data management plan checklist: Computerworld , 1982-06-07 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| data management plan checklist: The SAGE Handbook of Social Media Research Methods Luke Sloan, Anabel Quan-Haase, 2017-01-26 With coverage of the entire research process in social media, data collection and analysis on specific platforms, and innovative developments in the field, this handbook is the ultimate resource for those looking to tackle the challenges that come with doing research in this sphere. |
| data management plan checklist: Software Testing as a Service Ashfaque Ahmed, 2009-09-14 In today's unforgiving business environment where customers demand zero defect software at lower costs-it is testing that provides the opportunity for software companies to separate themselves from the competition. Software Testing as a Service explains, in simple language, how to use software testing to improve productivity, reduce time to market, and reduce costly errors. It explains how the normal functions of manufacturing can be applied to commoditize the software testing service to achieve consistent quality across all software projects. This up-to-date reference reviews different software testing tools, techniques, and practices and provides succinct guidance on how to estimate costs, allocate resources, and make competitive bids. Replete with examples and case histories, this resource illustrates how proper planning can lead to the creation of software that's head and shoulders above the competition. |
| data management plan checklist: The Open Handbook of Linguistic Data Management Andrea L. Berez-Kroeker, Bradley McDonnell, Eve Koller, Lauren B. Collister, 2022-01-18 A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data. Doing language science depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward the transformation of linguistics into a more data-driven and reproducible scientific endeavor. It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case studies, each of which demonstrates a concrete application of abstract principles in a current practice. In part 1, contributors bring together knowledge from information science, archiving, and data stewardship relevant to linguistic data management. Topics covered include implementation principles, archiving data, finding and using datasets, and the valuation of time and effort involved in data management. Part 2 presents snapshots of practices across various subfields, with each chapter presenting a unique data management project with generalizable guidance for researchers. The Open Handbook of Linguistic Data Management is an essential addition to the toolkit of every linguist, guiding researchers toward making their data FAIR: Findable, Accessible, Interoperable, and Reusable. |
| data management plan checklist: The Dissertation Peter Lyons, Howard J. Doueck, 2010-01-13 Many otherwise strong doctoral students get stuck at the dissertation stage, but this trusty guide takes students from the early planning phase to finishing the final draft. It contains straightforward advice for each stage of the dissertation process: selecting a chair, completing the literature review, developing a hypothesis, selecting a study sample and appropriate measures, managing and analyzing both quantitative and qualitative data, establishing good writing habits, and overcoming obstacles to completing the dissertation on schedule. Practical guidelines, tips and strategies, and action steps checklists in each chapter make this a handy pocket guide for students as well as advisors seeking a comprehensive, unintimidating road map to the social work dissertation. |
| data management plan checklist: Doing Real Research Eric Jensen, Charles Laurie, 2016-03-17 Challenging the formality and idealized settings of conventional methods teaching and opting instead for a real world approach to social research, this book offers frank, practical advice designed to empower students and researchers alike. Theoretically robust and with an exhaustive coverage of key methodologies and methods the title establishes the cornerstones of social research. Examples reflect research conducted inside and outside formal university settings and range from the extremes of war torn countries to the complexities of school classrooms. Supported by a wealth of learning features and tools the textbook and website include: Video top tips Podcasts Full text journal articles Interviews with researchers conducting field research Links to external websites and blogs Student exercises Real world case studies |
| data management plan checklist: The 12 Pillars of Project Excellence Adil F. Dalal, 2011-10-17 Asking tough questions about the current state of project management, The 12 Pillars of Project Excellence: A Lean Approach to Improving Project Results provides groundbreaking techniques to achieve excellence in project leadership that can result in six sigma type results or failure-free projects. It unveils novel solutions and breakthrough concepts—including project culture analysis, the five powers of project leadership, the power of visualizationTM, the science of simplicityTM, dynamic risk leadership, and dynamic project failures analysis—to help you chart the most efficient path to the pinnacle of project leadership. Winner of a 2013 Axiom Business Book Award The author provides the cutting-edge methods based on decades of personal practical experience, valuable lessons learned, and authoritative insights gained from leading over 300 projects to successful conclusions. Complete with powerful tools for organizational- and self-assessment on the accompanying CD, this book will not only transform your approach to project management, but will also provide you with the tools to develop effective leaders and consistently achieve exceptional business results. Some Praise for the Book: ... a highly pragmatic guide to project management. ... lays out the way of thinking that underpins success... a book that everyone could benefit from. —Mikel J. Harry, Ph.D., co-creator of Six Sigma provides the most significant contribution for leaders to mitigate project risks, assure sustainable growth, and guarantee survival... . —Carlos Alberto Briganti, general manager of Eaton Europe and Japan, 2001-2003; vice president of Eaton South America 2004-2007 ... one of the BEST books I have ever read on project leadership. —John Salazar, CIO Department of Work Force Solutions; former CIO of Department of Taxation & Revenue, State of New Mexico ... a comprehensive guide that will assist any business leader within an organization to consistently achieve excellent business results! A ‘must buy’—get it now! —Billy Billimoria, director, customer applications, BAE Systems; program director, Lockheed Martin; project engineer, Space Shuttle and Support Equipment Design |
| data management plan checklist: Demystifying the Institutional Repository for Success Marianne Buehler, 2013-08-31 Institutional repositories remain key to data storage on campus, fulfilling the academic needs of various stakeholders. Demystifying the Institutional Repository for Success is a practical guide to creating and sustaining an institutional repository through marketing, partnering, and understanding the academic needs of all stakeholders on campus. This title is divided into seven chapters, covering: traditional scholarly communication and open access publishing; the academic shift towards open access; what the successful institutional repository looks like; institutional repository collaborations and building campus relationships; building internal and external campus institutional repository relationships; the impact and value proposition of institutional repositories; and looking ahead to open access opportunities. - Presents successful and creative marketing techniques of open access benefits and repositories useful to administrators, faculty, staff, and students - Strategic campus and off-campus partnerships for garnering and archiving content, including metadata specialists, off-campus librarians, local/state collaborations, including case studies - Specific tools for overall success of users in locating repository research (search engine optimization (SEO), analyzing Google Analytics), and more |
| data management plan checklist: Research Ethics for Human Geography Helen F. Wilson, Jonathan Darling, 2020-11-04 Research Ethics for Human Geography is a lively and engaging introduction to key ethical issues in geographical research by leading figures in the discipline. It addresses the wide range of ethical issues involved in collecting, analysing and writing up research across the social sciences, and explores and explains the more specific ethical issues associated with different forms of geographical inquiry. Each chapter comprises detailed summaries and definitions, real-life case studies, student check-lists and annotated recommendations for reading, making the book a valuable toolkit for students undertaking all forms of geographical research, from local and overseas fieldwork, through to dissertation research, methods-training, and further research. |
| data management plan checklist: The No-nonsense Guide to Research Support and Scholarly Communication Claire Sewell, 2020-01-07 This accessible and highly practical book provides an introductory guide to the world of research support in the academic library. Academic libraries have seen huge changes in recent years thanks to the increasing availability of information online but they are now undergoing another shift. As libraries move away from providing access to existing information and towards helping users create new knowledge there is an opportunity for them to develop new services for the research community. To do this successfully libraries need to have a knowledgeable workforce who are equipped to provide the support that researchers need. Information professionals are increasingly being asked to advise their users on issues such as open access and research data management but are often doing so with little or no formal preparation. Outlining the reasons why library staff need to develop a knowledge of research support and guiding them through the key information on each topic, The No-nonsense Guide to Research Support and Scholarly Communication provides an ideal primer for those who seek to work in this area or those who have acquired these responsibilities as part of a wider role. The practical nature of the book means readers can dip into it or read it from cover to cover as needed. It includes practical checklists of knowledge and skills, international case studies by practitioners from around the globe, end of chapter references, how-to sections, activities and links to freely available online training materials. The book covers: - scholarly communication, open research and the research lifecycle - research data management - open access - disseminating research - metrics and measuring impact including the Journal Impact Factor, H-Index and Altmetrics - career paths in research support - why and how library staff at all levels can get involved in the process of doing research and sharing their outputs. The book will be essential reading for academic librarians who have had research support duties added to their role with little or no formal training or those who have taken on a newly created role and are unsure of how best to use their existing skills or develop new ones suitable for a role in research support. The book will also be of interest to public librarians who may be dealing with supporting their own research communities and those who are considering taking on a career in this growing area but are unsure where to turn for guidance including students studying for postgraduate library qualifications and those who have undertaken qualifications in publishing. |
| data management plan checklist: CMM in Practice Pankaj Jalote, 2000 Project initiation; Project planning; Project execution and termination. |
| data management plan checklist: Digital Libraries for Open Knowledge Eva Méndez, Fabio Crestani, Cristina Ribeiro, Gabriel David, João Correia Lopes, 2018-09-04 This book constitutes the proceedings of the 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, held in Porto, Portugal, in September 2018. The 51 full papers, 17 short papers, and 13 poster and tutorial papers presented in this volume were carefully reviewed and selected from 81 submissions. The general theme of TPDL 2018 was Digital Libraries for Open Knowledge. The papers present a wide range of the following topics: Metadata, Entity Disambiguation, Data Management, Scholarly Communication, Digital Humanities, User Interaction, Resources, Information Extraction, Information Retrieval, Recommendation. |
| data management plan checklist: Safety Culture James Roughton, Nathan Crutchfield, Michael Waite, 2019-02-21 Safety Culture, Second Edition, provides safety professionals, corporate safety leaders, members of leadership, and college students an updated book on safety leadership and techniques for the development of a safety culture. The book offers guidance on the development, implementation, and communication of a Safety Management System. The Second Edition includes a discussion on the perception of safety, analyzing the safety culture, developing a communications network, employee involvement, risk perception, curation, and tools to enhance the Safety Management System. Updated materials on the Activity-Based Safety System, Job Hazard Analysis, and Safety Training New sections on safety leadership and its application A new chapter on Developing a Content Creation Strategy supporting the Safety Management System An array of suggested software and social media tools |
| data management plan checklist: Implementation Research for Digital Technologies and TB toolkit (IR4DTB) , 2022-03-24 |
| data management plan checklist: Practical Guide to Clinical Data Management Susanne Prokscha, 1999-01-31 Clinical data management (CDM) has changed from being an essentially clerical task in the late 1970s and early 1980s to a highly computerized, highly specialized field today. And clinical data manages have had to adapt their data management systems and processes accordingly. Practical Guide to Clinical Data Management steers you through a basic understanding of the role of data management in clinical trials and includes more advanced topics such as CDM systems, SOPs, and quality assurance. This book helps you ensure GCP, manage laboratory data, and deal with the kinds of clinical data that can cause difficulties in database applications. With the tools this book provides, you'll learn how to: Ensure that your DMB system is in compliance with federal regulations Build a strategic data management and databsing plan Track and record CRFs Deal with problem data, adverse event data, and legacy data Manage and store lab data Identify and manage discrepancies Ensure quality control over reports Choose a CDM system that is right for your company Create and implement a system validation plan and process Set up and enforce data collection standards Develop test plans and change control systems This book is your guide to finding the most successful and practical options for effective clinical data management. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with minimum time …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, released in …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process from …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical barriers …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be collected, …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
