Suchergebnisse

Ensuring sustainable access to the data collected and produced in research processes is a critical concern for governments and research funding bodies in Europe and internationally. Research Performing Organisations (RPOs) such as universities and research institutes are key players in this endeavour. This requires data to be produced and managed according to the FAIR data stewardship principles, to be Findable, Accessible, Interoperable, and Reusable. Curating the data involves keeping it FAIR, and this requires services capable of applying the TRUST principles. These involve providing Transparency about data holdings, taking Responsibility for the data integrity, maintaining User focus to serve communities, ensuring Sustainability of services to preserve data, and utilizing Technology to fulfill these principles. To make this happen, RPOs can partner with Trustworthy Repositories to achieve a level of technical preparedness that will ensure long-term accessibility to publicly-funded data holdings. This guide aims to offer RPO staff help to identify an appropriate level of preparedness for their circumstances. ACME-FAIR is a 7-part guide developed in the FAIRsFAIR project, whose main purpose is to help managers of Research Data Management and related professional services to self-assess how they are enabling researchers, and the professional staff who support them, to put the FAIR data principles into practice (for short we refer to this as 'FAIR-enabling practice'). This part addresses the key issue of ensuring trustworthy curation.

ABSTRACT Since their invention, picture postcards have played a key role in circulating racist and imperial ideologies. In this paper, the researcher explores how experiments in producing and exchanging postcards used in the Global Gender and Cultures of Equality (GlobalGRACE) project attempted to subvert traditional anthropological and colonial perspectives. Drawing on examples created for the exhibition Exchanging Cultures of Equality held in London in 2018, the author discusses how GlobalGRACE researchers in six different countries individually and collectively sought to disrupt and challenge historical imaginaries using postcards. The creative process required them consider how they might differently visualize, articulate, and publicly share ideas about their work and field sites while also asserting the value of transnational exchange. The researcher argues that critical reflection on the tensions and challenges that arose from this transnational collaborative experiment are both productive and necessary in informing further and new decolonising engagements with postcards

A defining characteristic of contemporary copyright law is the willingness of governments to accept the argument that the impact of digital technologies requires copyright owners to be given ever greater control over the use of their works, regardless of the detriment to the copyright regime's 'public interest' elements. Yet a one-size-fits-all 'all rights reserved' copyright regime clearly fails to meet the requirements of many rightsholders. One response has been the Creative Commons movement which seeks, through licences based on existing copyright laws, to provide a simple mechanism for rightsholders to disseminate their works under less restrictive conditions. The Creative Commons' initial success has led to suggestions that its principles could be equally applied to scientific research outputs, such as publications, licensing of research materials, and datasets. This article argues that the Science Commons approach, if based on the Creative Commons model, and premised at its root on utilitarian copyright law, will both fail to address contemporary policy drivers in research, or to provide researchers with the type of rights that they actually want. It suggests that constructing an appropriate set of rights for the Science Commons, particularly for datasets, will require a willingness to step outside the utilitarian model and look to the Continental copyright tradition, which sets less store in economic rights and gives greater weight to moral rights.

Ensuring sustainable access to the data collected and produced in research processes is a critical concern for governments and research funding bodies in Europe and internationally. Research Performing Organisations (RPOs) such as universities and research institutes are key players in this endeavour. This requires data to be produced and managed according to the FAIR data stewardship principles, to be Findable, Accessible, Interoperable, and Reusable. Curating the data involves keeping it FAIR, and this requires services capable of applying the TRUST principles. These involve providing Transparency about data holdings, taking Responsibility for the data integrity, maintaining User focus to serve communities, ensuring Sustainability of services to preserve data, and utilizing Technology to fulfill these principles. To make this happen, RPOs can partner with Trustworthy Repositories to achieve a level of technical preparedness that will ensure long-term accessibility to publicly-funded data holdings. This guide aims to offer RPO staff help to identify an appropriate level of preparedness for their circumstances. ACME-FAIR is a 7-part guide developed in the FAIRsFAIR project, whose main purpose is to help managers of Research Data Management and related professional services to self-assess how they are enabling researchers, and the professional staff who support them, to put the FAIR data principles into practice (for short we refer to this as 'FAIR-enabling practice'). This part addresses the key issue of ensuring trustworthy curation. Please give us your comments in any of the ways detailed on p.5.

Ensuring sustainable access to the data collected and produced in research processes is a critical concern for governments and research funding bodies in Europe and internationally. Research Performing Organisations (RPOs) such as universities and research institutes are key players in this endeavour. This requires data to be produced and managed according to the FAIR data stewardship principles, to be Findable, Accessible, Interoperable, and Reusable. Curating the data involves keeping it FAIR, and this requires services capable of applying the TRUST principles. These involve providing Transparency about data holdings, taking Responsibility for the data integrity, maintaining User focus to serve communities, ensuring Sustainability of services to preserve data, and utilizing Technology to fulfill these principles. To make this happen, RPOs can partner with Trustworthy Repositories to achieve a level of technical preparedness that will ensure long-term accessibility to publicly-funded data holdings. This guide aims to offer RPO staff help to identify an appropriate level of preparedness for their circumstances. ACME-FAIR is a 7-part guide developed in the FAIRsFAIR project, whose main purpose is to help managers of Research Data Management and related professional services to self-assess how they are enabling researchers, and the professional staff who support them, to put the FAIR data principles into practice (for short we refer to this as 'FAIR-enabling practice'). This part addresses the key issue of ensuring trustworthy curation.

DataStaR: An Institutional Approach to Research Data Curation

Over the past decade, a rich body of research and practice has emerged under the rubrics of electronic records, digital preservation and digital curation. Most of this work has taken place as research activity (often financed by government agencies) within libraries and information/computer science departments. Many projects focus on one format of information, such as research publications or data, potentially de-contextualizing individual records. Meanwhile, most institutional archives and manuscript repositories, which possess a rich theoretical and practical framework for preserving context among mixed analog materials, have failed to extend their capabilities to digital records. As a result, relatively few institutions have implemented systematic methods to capture, preserve and provide access to the complete range of documentation that end users need to understand and interpret past human activity.The Practical E-Records Method attempts to address this problem by providing easy-to-implement software reviews, guidance/policy templates, and program recommendations that blend digital curation research findings with traditional archival processes and workflows. Using the method discussed in this paper, archives and manuscript repositories can use existing resources to incrementally develop digital curation skills, building a collaborative, expanding program in the process. Archival programs that make digital curation a systematic institutional function will systematically gather, preserve, and provide access to genres of documentation that are contextually-rich and highly susceptible to loss, complementing efforts undertaken by librarians, information scientists and external service providers. Over the next year, the suggested techniques will be tested and refined at the University of Illinois Archives and possibly elsewhere.

Governments and funding bodies enact policies to set up Research Infrastructures (RIs) to integrate data from different environmental monitoring research sites. The goal of such policies is to publicly open access to research data to support research and innovation and to develop policies for sustaining RIs and the environment at large. However, little is known about the data curation practices of environmental monitoring research scientists at the origins of data. Informed by practice theories on the constitutive entanglement of the social and the material in everyday organisational work, the study zooms-in on the data curationpractices utilised by environmental monitoring research scientists to create data that is of good quality and reliable for sharing. Early findings are based on observations and semi-structured interviews of participants in environmental research sites, who collaborate on taking samples of animal and plant species in marine and terrestrial environments. We find that data curation at the origins of data are rife with challenges and opportunities in: data competence, data management and data quality practices. This poster submission concludes with implications of such practices for data governance of large-scale RIs.

This commentary is a reflection on experience of data preservation and sharing (i.e., data curation) practices developed in a South African research organization. The lessons learned from this journey have echoes in the findings and recommendations emerging from the present study in Low and Middle-Income Countries (LMIC) and may usefully contribute to more general reflection on the management of change in data practice.