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Data curation.

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This document explores the pros and cons of possible funding sources to assist research libraries in supporting the research data management needs of scholars and other researchers. Brief, country-specific information about funding sources in five countries (Australia, Canada, Netherlands, New Zealand, and the United Kingdom) and one special administrative area (Hong Kong) is provided in an appendix.

Data curation --- Research --- Finance.

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"The Future of Digital Data, Heritage and Curation in a More-than Human World critiques digital cultural heritage concepts, their application to data and develops new theories, curatorial practices and a more-than human museology for a contemporary and future world. Presenting a diverse range of case examples from around the globe, Cameron offers a critical and philosophical reflection on the ways in which digital cultural heritage is currently framed as societal data worth passing on to future generations in two distinct forms: digitally born and digitizations. Demonstrating that most perceptions of digital cultural heritage are distinctly western in nature, the book also examines the complicity of such heritage in climate change and environmental destruction and injustice. Going further still, the book theorizes the future of digital data, heritage, curation and the notion of the human in the context of the profusion of new types of societal data and production processes driven by the intensification of data economies and through the emergence of new technologies. In so doing, the book makes a case for the development of new types of heritage that comprise AI, automated systems, biological entities, infrastructures, minerals and chemicals - all of which have their own forms of agency, intelligence and cognition. The Future of Digital Data, Heritage and Curation is essential reading for academics and students engaged in the study of museums, archives, libraries, galleries, archaeology, cultural heritage management, information management, curatorial studies and digital humanities"--

Information systems --- Archivistics --- digitizing --- cultural heritage --- Data curation. --- Data curation services --- Data services (Data curation) --- Digital curation --- Services, Data curation --- Curatorship --- Electronic data processing

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"Producers of official statistics face a complicated task in managing users' access to the data they collect, as they must maintain the confidentiality of the individuals or businesses who have provided their data to them, while being under pressure to release ever more detailed datasets in order to provide greater analytical insight to those who wish to use such data. Traditionally, national statistical offices have provided trusted users (such as academics) access to some micro-level data at the level of individuals or businesses, while publishing aggregate statistical tables to other users. This approach is not a perfect solution to managing access to data, as many users will not obtain the amount of detail they are seeking, while vetting and managing trusted users is time consuming, and does not guarantee that they will never misuse or lose the data they access. However, there is another way of providing users with analytical insight, by providing them with Synthetic Data, which may be advantageous for certain use case scenarios. Synthetic data can be simulated in such a way as to have many of the same properties as the original dataset, and to allow derivation of the same results and insights, but with a much lower risk of revealing information about individuals to which that data relate. If you are involved in managing users' access to official statistics, and would like to have another option for dealing with your data access dilemmas, this guide will give you what you need to get started."--

Confidential communications --- Data curation. --- Data protection. --- Data privacy. --- Statistical services.

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Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. "In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows-and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? -Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University "Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? -Ruth E. Levine, PhD, CEO, IDinsight "Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows-yielding more credible analytical conclusions as a result.†? -Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley "The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? -Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University.

Business --- Data curation. --- Economic development --- Data processing --- Management. --- Research --- Methodology.