Suchergebnisse

The stated ambition of the National Plan for Open Science published on July 4th 2018 was to make publicly funded research data compliant with the FAIR principles. The guide identifies a core set of fundamental objectives which need to be achieved alongside seven complementary recommendations to help research and higher education institutions formalise and implement their in-house research data policy. It takes the existing differences in research data management into account both at the level of disciplines and of institutions and operators under the authority of the Higher Education, Research and Innovation Ministry (MESRI). ; Le Plan national pour la science ouverte du 4 juillet 2018 s'est donné comme ambition de rendre à terme les données issues de la recherche financée sur fonds publics conformes aux principes FAIR. Le guide identifie un socle de quelques objectifs fondamentaux à atteindre. Ils sont complétés par sept recommandations, pour aider à la formalisation et à la mise en œuvre d'une politique des données de la recherche au sein des établissements de la recherche et de l'enseignement supérieur. Il tient compte des différences existantes dans la gestion des données de la recherche, tant au niveau des disciplines que des établissements et opérateurs du MESRI.

The stated ambition of the National Plan for Open Science published on July 4th 2018 was to make publicly funded research data compliant with the FAIR principles. The guide identifies a core set of fundamental objectives which need to be achieved alongside seven complementary recommendations to help research and higher education institutions formalise and implement their in-house research data policy. It takes the existing differences in research data management into account both at the level of disciplines and of institutions and operators under the authority of the Higher Education, Research and Innovation Ministry (MESRI). ; Le Plan national pour la science ouverte du 4 juillet 2018 s'est donné comme ambition de rendre à terme les données issues de la recherche financée sur fonds publics conformes aux principes FAIR. Le guide identifie un socle de quelques objectifs fondamentaux à atteindre. Ils sont complétés par sept recommandations, pour aider à la formalisation et à la mise en œuvre d'une politique des données de la recherche au sein des établissements de la recherche et de l'enseignement supérieur. Il tient compte des différences existantes dans la gestion des données de la recherche, tant au niveau des disciplines que des établissements et opérateurs du MESRI.

Using Scanner Data for Food Policy Research is a practitioners' guide to using and interpreting scanner data obtained from stores and households in policy research. It provides practical advice for using the data and interpreting their results. It helps the reader address key methodological issues such as aggregation, constructing price indices, and matching the data to nutrient values. It demonstrates some of the key econometric and statistical applications of the data, including estimating demand systems for policy simulation, analyzing effects of food access on food choices, and conducting cost-benefit analysis of food policies. This guide is intended for early-career researchers, particularly those working with scanner data in agricultural and food economics, nutrition, and public health contexts. --

Despite growing recognition of the critical role of parents in children's early development, parenting education programs and interventions typically have had limited impacts on children's outcomes. To design programs and policies that are more responsive to families' needs and constraints, policymakers need a better understanding of the lived experiences of families. In this article, we argue that qualitative video-ethnographic approaches offer an innovative and useful supplement to policy researchers' usual tool kit. Taking a holistic approach to parent–child interactions and filming families in their natural environments over an extended period provides policy researchers with new data to inform future parenting initiatives. To assist researchers interested in undertaking a video-ethnographic study, we discuss our experiences with the New Jersey Families Study, a 2-week, in-home video study of 21 families with a 2- to 4-year-old child. This is the first time anyone has attempted an in-home naturalistic observation of this breadth, intensity, or duration. We highlight the potential of this method for policy relevance along with its associated challenges.

The 2011 Canadian Research Data Summit was held at the Ottawa Convention Centre on September 14. About the Summit On September 14-15, 2011, The 2011 Canadian Research Data Summit brings together 100-150 senior researchers, high level policy makers, university administrators, and members of the private sector. Together, participants will work on formulating a shared strategy for addressing the challenges and opportunities for maximizing the benefits of our collective investment in research data in Canada. The Summit will act as a catalyst for the development of a made-inCanada approach for maximizing the availability and use of research data. About the Research Data Strategy Working Group The Research Data Strategy Working Group is a collaborative effort launched in 2008 to address the challenges and issues surrounding the access and preservation of data arising from Canadian research. This multi-disciplinary group of universities, institutes, libraries, operators of research infrastructure, granting agencies, governments, and individual researchers are united through a shared recognition of the pressing need to deal with Canadian data stewardship issues. Together, they are focussing on the necessary actions, next steps and leadership roles that researchers and institutions can take to ensure Canada's research data are accessible and usable for current and future generations of researchers

A California Public Utilities Commission (CPUC) rulemaking and possible legislative action in 2020 could affect data sharing requirements, with implications for shared mobility providers. The purpose of this brief is to inform this regulatory and legislative decision-making. We solicited policy and planning questions and data needs for shared mobility from within the University of California Institute of Transportation Studies research network. We defined shared mobility as including shared mobility devices, such as e-bikes and e-scooters, and transportation network companies (TNCs). We evaluated whether data shared in accordance with each of six mobility data specifications could be used to support analyses that would answer these questions. We then defined three approaches to data sharing and analysis to address these and other questions, presenting the advantages and disadvantages of each. This brief does not address the full breadth of the questions raised in the CPUC rulemaking nor does it introduce the complexities of this topic. Beyond the scope of this brief are issues of user privacy, the legal authority for sharing data, and contractual or requirements for each possible model of data sharing and analysis.

The first purpose of data policy should be to serve the objectives of the organization or project sponsoring the collection of the data. With research data, data policy should also serve the broader goals of advancing scientific and scholarly inquiry and society at large. This is especially true with government-funded data, which likely comprise the vast majority of research data. Data policy should address multiple issues, depending on the nature and objectives of the data. These issues include data access requirements, data preservation and stewardship requirements, standards and compliance mechanisms, data security issues, privacy and ethical concerns, and potentially even specific collection protocols and defined data flows. The specifics of different policies can vary dramatically, but all data policies need to address data access and preservation. Research data gain value with use and must therefore be accessible and preserved for future access. This article focuses on data access. While policy might address multiple issues, at a first level it must address where the data stand on what Lyon (2009) calls the continuum of openness. Making data as openly accessible as possible provides the greatest societal benefit, and a central purpose of data policy is to work toward ethically open data access. An open data regime not only maximizes the benefit of the data, it also simplifies most of the other issues around effective research data stewardship and infrastructure development.

ADR UK is helping to transform the way researchers access the UK's wealth of administrative data, enabling government policy to be informed by the best evidence available. Emma shares her insights into the ADR UK approach to making this happen, explaining why building trust is central to the ADR UK mission.