31 research outputs found
Data Stewardship Mindmap
No full textA mind map of data stewardship topics.
I started collecting these topics in October 2013. It is continuously being updated through accidental encounters as well as deliberate interviews with experts.
Many of the topics collected here are presented as a hierarchical set of questions for Data Management Planning in the Data Stewardship Wizard (https://ds-wizard.org/). The information in the mind map is available in a formalized form (a set of JSON data files) from an open github repository in the Data Stewardship Wizard repository (look for the "knowledge model").
The original document is edited in the "MindNode" software, and at irregular intervals a view is uploaded to the MindNode cloud: https://my.mindnode.com/gsJTmqsvsecXzKVw2KZtNQMGyFPKqabQ3pNcXdC
Data Stewardship Wizard: philosophy and Implementation
No full textLecture at a workshop at Avans Hogeschool on their implementation of DS Wizard. This presentation gives background on why the DS Wizard was made and why it looks and behaves like it does.
See also: https://doi.org/10.5334/dsj-2019-059 and https://ds-wizard.org
First steps on a FAIR Journey
No full textResearchers are hearing from many sides that their data must be made FAIR, and are often presented with many services that sound very complicated. This presentation shows that there are first steps along a FAIR journey that any researcher can take, and it briefly presents the Data Stewardship Wizard as a way to find out further steps that are suitable for any project specifically. The presentation also attempts to show that an investment in FAIR Data Management can be and should be beneficial to the project and its outcomes, not only to hypothetical re-users of data.
This presentation was given in the third of a workshop series by the European Commission, titled "Maximizing investments in health research: FAIR data for a coordinated COVID-19 response"
The road to success: drawing parallels between 'road' and 'research data' infrastructures to foster understanding between service providers, funders and policymakers [version 1; peer review: 2 approved]
No full textBackground: The work of data research infrastructure operators is poorly understood, yet the services they provide are used by millions of scientists across the planet. Policy and implications: As the data services and the underlying infrastructure are typically funded through the public purse, it is essential that policymakers, research funders, experts reviewing funding proposals, and possibly even end-users are equipped with a good understanding of the daily tasks of service providers. Recommendations: We suggest drawing parallels between research data infrastructure and road infrastructure. To trigger the imagination and foster understanding, this policy brief contains a table of corresponding aspects of the two classes of infrastructure. Conclusions: Just as economists and specialist evaluators are typically brought in to inform policies and funding decisions for road infrastructure, we encourage this to also be done for research infrastructure
The road to success: drawing parallels between 'road' and 'research data' infrastructures to foster understanding between service providers, funders and policymakers [version 2; peer review: 2 approved]
No full textBackground: The work of data research infrastructure operators is poorly understood, yet the services they provide are used by millions of scientists across the planet. Policy and implications: As the data services and the underlying infrastructure are typically funded through the public purse, it is essential that policymakers, research funders, experts reviewing funding proposals, and possibly even end-users are equipped with a good understanding of the daily tasks of service providers. Recommendations: We suggest drawing parallels between research data infrastructure and road infrastructure. To trigger the imagination and foster understanding, this policy brief contains a table of corresponding aspects of the two classes of infrastructure, and a table of policy implications. Conclusions: Just as economists and specialist evaluators are typically brought in to inform policies and funding decisions for road infrastructure, we encourage this to also be done for research infrastructure
Using Visual Tools for Analysis and Learning
No full textThis pack is intended as a resource for lecturers and students to facilitate the further development of their learning and teaching strategies. Visual tools were initially introduced within a module of the Year 3 nursing curriculum within the University of Huddersfield by Dr Rob Burton.
Throughout the period of 2007-2008 a small team of lecturers with a keen interest in this teaching and learning strategy engaged in exploring and reviewing the literature. They also attended a series of local workshops held by Oliver Caviglioli, a keen author in relation to visual tools. The use of visual tools as a learning and teaching strategy is now being encouraged within both primary and secondary education. Therefore future students should have some experience of using them. Visual tools have been used as both formative and summative elements of student nurse assessment and are being used creatively within the school. Throughout the duration of this project, aspects of the work have received a positive response at both national and international conferences including HERDSA July 2007, Adelaide, Australia; International Nursing Research Conference, Malaysia March 2008 and Nurse Education Tomorrow (NET) Conference, Cambridge September 2008.
The pack contains information regarding the background, relevant theory and the development of visual tools. It has been designed to introduce you to the principles of using visual tools for analysis and adult learning. The main message is that the tools themselves form a systematic approach to be used in learning and teaching. It contains examples of various visual tools and a series of exercises to support you through the stages of the development of visual tools. It is hoped that this will enable you to develop visual tools within your own field of expertise. Within the pack there are some examples of visual tools, although these are not exhaustive.
We hope that you enjoy the pack and that it inspires you to further explore the wide variety of visual tools and their potential value within adult education
Bioinformatics in the Netherlands: The value of a nationwide community
No full textThis review provides a historical overview of the inception and development of bioinformatics research in the Netherlands. Rooted in theoretical biology by foundational figures such as Paulien Hogeweg (at Utrecht University since the 1970s), the developments leading to organizational structures supporting a relatively large Dutch bioinformatics community will be reviewed. We will show that the most valuable resource that we have built over these years is the close-knit national expert community that is well engaged in basic and translational life science research programmes. The Dutch bioinformatics community is accustomed to facing the ever-changing landscape of data challenges and working towards solutions together. In addition, this community is the stable factor on the road towards sustainability, especially in times where existing funding models are challenged and change rapidly.Pattern Recognition and Bioinformatic
Wordsworth and death
No full textWordsworth is known as the poet of joy and hope, and to associate his name with death may seem at first strange. Yet, according to his own estimation, he was the poet not simply of joy but of “the very heart of man," of "human kind, and what we are”, of "men as they are men within themselves." Any vision of human nature which does not take into account the facts of mortality and bereavement is blinkered and inevitably inadequate and Wordsworth was committed to clarity of perception and the fullest insights of the Imagination. He did not shy away from the implications of “our mortal Nature”; throughout his career, he sought to portray in poetry the place of death in human life.
Two basic ways of understanding mortality are considered in this thesis: the first is death as disjunction, extinction, the end; the second is death as part of a larger continuity, a threshold, a stage. The conflict between these two visions was fundamental to Wordsworth's thought, and writing. Isolation and despair were the corollaries of the first vision, while the capacity for love and hope which was essential to the life of the human spirit was nurtured and made possible by the second. Wordsworth wrestled in his writings with the effects of these different visions of death on the complexities of human nature.
The thesis has been divided into three main parts. Section I - Death in Wordsworth's Time - seeks to place the poet into a historical context. Section II - Death in Wordsworth' Life - is concerned with Wordsworth's personal experiences of loss and feelings about his own mortality, And in Section III - Death in Wordsworth's Poetry - what he had to say about death is considered in relation to some of the other major themes in his poetry
FAIR Principles: Interpretations and implementation considerations
No full textThe FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 FAIR guiding principles do not dictate specific technological implementations, but provide guidance for improving Findability, Accessibility, Interoperability and Reusability of digital resources. This has likely contributed to the broad adoption of the FAIR principles, because individual stakeholder communities can implement their own FAIR solutions. However, it has also resulted in inconsistent interpretations that carry the risk of leading to incompatible implementations. Thus, while the FAIR principles are formulated on a high level and may be interpreted and implemented in different ways, for true interoperability we need to support convergence in implementation choices that are widely accessible and (re)-usable. We introduce the concept of FAIR implementation considerations to assist accelerated global participation and convergence towards accessible, robust, widespread and consistent FAIR implementations. Any self-identified stakeholder community may either choose to reuse solutions from existing implementations, or when they spot a gap, accept the challenge to create the needed solution, which, ideally, can be used again by other communities in the future. Here, we provide interpretations and implementation considerations (choices and challenges) for each FAIR principle
