The use of microblogging for field-based scientific research

Documenting the context in which data are collected is an integral part of the scientific research lifecycle. In field-based research, contextual information provides a detailed description of scientific practices and thus enables data interpretation and reuse. For field data, losing contextual information often means losing the data altogether. Yet, documenting the context of distributed, collaborative, field-based research can be a significant challenge due to the unpredictable nature of real-world settings and to the high degree of variability in data collection methods and scientific practices of different researchers. In this article, we propose the use of microblogging as a mechanism to support collection, ingestion, and publication of contextual information about the variegated digital artifacts that are produced in field research. We perform interviews with scholars involved in field-based environmental and urban sensing research, to determine the extent of adoption of Twitter and similar microblogging platforms and their potential use for field-specific research applications. Based on the results of these interviews as well as participant observation of field activities, we present the design, development, and pilot evaluation of a microblogging application integrated with an existing data collection platform on a handheld device. We investigate whether microblogging accommodates the variable and unpredictable nature of highly mobile research and whether it represents a suitable mechanism to document the context of field research data early in the scientific information lifecycle.Comment: Proceedings of the 45th Hawaii International Conference on System Science (HICSS-45 2012

Improving the Usability of Organizational Data Systems

For research data repositories, web interfaces are usually the primary, if not the only, method that data users have to interact with repository systems. Data users often search, discover, understand, access, and sometimes use data directly through repository web interfaces. Given that sub-par user interfaces can reduce the ability of users to locate, obtain, and use data, it is important to consider how repositories’ web interfaces can be evaluated and improved in order to ensure useful and successful user interactions. This paper discusses how usability assessment techniques are being applied to improve the functioning of data repository interfaces at the National Center for Atmospheric Research (NCAR). At NCAR, a new suite of data system tools is being developed and collectively called the NCAR Digital Asset Services Hub (DASH). Usability evaluation techniques have been used throughout the NCAR DASH design and implementation cycles in order to ensure that the systems work well together for the intended user base. By applying user study, paper prototype, competitive analysis, journey mapping, and heuristic evaluation, the NCAR DASH Search and Repository experiences provide examples for how data systems can benefit from usability principles and techniques. Integrating usability principles and techniques into repository system design and implementation workflows helps to optimize the systems’ overall user experience

Data Science as an Interdiscipline: Historical Parallels from Information Science

Considerable debate exists today on almost every facet of what data science entails. Almost all commentators agree, however, that data science must be characterized as having an interdisciplinary or metadisciplinary nature. There is interest from many stakeholders in formalizing the emerging discipline of data science by defining boundaries and core concepts for the field. This paper presents a comparison between the data science of today and the development and evolution of information science over the past century. Data science and information science present a number of similarities: diverse participants and institutions, contested disciplinary boundaries, and diffuse core concepts. This comparison is used to discuss three questions about data science going forward: (1) What will be the focal points around which data science and its stakeholders coalesce? (2) Can data science stakeholders use the lack of disciplinary clarity as a strength? (3) Can data science feed into an “empowering profession”? The historical comparison to information science suggests that the boundaries of data science will be a source of contestation and debate for the foreseeable future. Stakeholders face many questions as data science evolves with the inevitable societal and technological changes of the next few decades

Formalizing an Attribution Framework for Scientific Data/Software Products and Collections

As scientific research and development become more collaborative, the diversity of skills and expertise involved in producing scientific data are expanding as well. Since recognition of contribution has significant academic and professional impact for participants in scientific projects, it is important to integrate attribution and acknowledgement of scientific contributions into the research and data lifecycle. However, defining and clarifying contributions and the relationship of specific individuals and organizations can be challenging, especially when balancing the needs and interests of diverse partners. Designing an implementation method for attributing scientific contributions within complex projects that can allow ease of use and integration with existing documentation formats is another crucial consideration. To provide a versatile mechanism for organizing, documenting, and storing contributions to different types of scientific projects and their related products, an attribution and acknowledgement matrix and XML schema have been created as part of the Attribution and Acknowledgement Content Framework (AACF). Leveraging the taxonomies of contribution roles and types that have been developed and published previously, the authors consolidated 16 contribution types that could be considered and used when accrediting team member’s contributions. Using these contribution types, specific information regarding the contributing organizations and individuals can be documented using the AACF. This paper provides the background and motivations for creating the current version of the AACF Matrix and Schema, followed by demonstrations of the process and the results of using the Matrix and the Schema to record the contribution information of different sample datasets. The paper concludes by highlighting the key feedback and features to be examined in order to improve the next revisions of the Matrix and the Schema.

Recognizing the Diversity of Contributions: A Case Study for Framing Attribution and Acknowledgement for Scientific Data

As scientific data volumes, format types, and sources increase rapidly with the invention and improvement of scientific capabilities, the resulting datasets are becoming more complex to manage as well. One of the significant management challenges is pulling apart the individual contributions of specific people and organizations within large, complex projects. This is important for two aspects: 1) assigning responsibility and accountability for scientific work, and 2) giving professional credit to individuals (e.g. hiring, promotion, and tenure) who work within such large projects. This paper aims to review the extant practice of data attribution and how it may be improved. Through a case study of creating a detailed attribution record for a climate model dataset, the paper evaluates the strengths and weaknesses of the current data attribution method and proposes an alternative attribution framework accordingly. The paper concludes by demonstrating that, analogous to acknowledging the different roles and responsibilities shown in movie credits, the methodology developed in the study could be used in general to identify and map out the relationships among the organizations and individuals who had contributed to a dataset.  As a result, the framework could be applied to create data attribution for other dataset types beyond climate model datasets. 

Variables As Currency: Linking Meta-Analysis Research and Data Paths in Sciences

Meta-analyses are studies that bring together data or results from multiple independent studies to produce new and over-arching findings. Current data curation systems only partially support meta-analytic research. Some important meta-analytic tasks, such as the selection of relevant studies for review and the integration of research datasets or findings, are not well supported in current data curation systems. To design tools and services that more fully support meta-analyses, we need a better understanding of meta-analytic research. This includes an understanding of both the practices of researchers who perform the analyses and the characteristics of the individual studies that are brought together. In this study, we make an initial contribution to filling this gap by developing a conceptual framework linking meta-analyses with data paths represented in published articles selected for the analysis. The framework focuses on key variables that represent primary/secondary datasets or derived socio-ecological data, contexts of use, and the data transformations that are applied. We introduce the notion of using variables and their relevant information (e.g., metadata and variable relationships) as a type of currency to facilitate synthesis of findings across individual studies and leverage larger bodies of relevant source data produced in small science research. Handling variables in this manner provides an equalizing factor between data from otherwise disparate data-producing communities. We conclude with implications for exploring data integration and synthesis issues as well as system development

Sistematización de Cuidados Enfermeros en pacientes sometidos a Quimioterapia en el EOXI Ferrol

[Resumen] Según la OMS el cáncer es una de las principales causas de muerte en todo el mundo1.Los avances conseguidos en el tratamiento del cáncer han permitido un aumento significativo de la supervivencia en los últimos años, uno de los principales tratamiento es la quimioterapia, que consiste en el uso de sustancias citotóxicas para inhibir el crecimiento indiscriminado de células cancerígenas, la agresividad de este tratamiento provoca una serie de efectos secundarios no deseados por lo que parece esencial buscar una herramienta que ayude a la enfermería a aplicar los cuidados necesarios durante el tratamiento con quimioterapia para que la calidad de vida de los pacientes durante el tratamiento mejore y reciban una atención especializada y de calidad pero contemplando para hacerlo tanto a los profesionales como la percepción global de los pacientes en este momento del tratamiento oncológico. Por medio de esta propuesta de investigación se pretende: Objetivo general Dar una herramienta al profesional enfermero para intervenir durante todo el tratamiento con quimioterapia con el paciente oncológico y darle una atención más especializada y de calidad Objetivos específicos Conocer las principales complicaciones del tratamiento con quimioterapia que estén dentro del ámbito de competencias enfermeras no solo con el punto de vista de los profesionales sino validado también por los pacientes que lo sufren Elaborar planes de cuidados estandarizados sobre el tema mediante lenguaje enfermero estandarizado que engloben las necesidades del paciente como un ser biopsicosocial. Metodología Se llevará a cabo un estudio mediante metodología mixta, en las unidades de Hospital de día y la sexta planta de hospitalización del complejo hospitalario Arquitecto Marcide (Oncología), se realizaran dos incursiones en el campo de estudio: la primera cualitativa para obtener datos que nos permitan realizar la sistematización de cuidados enfermeros no solo desde el punto de vista enfermero sino también incluyendo las percepciones de los pacientes y otra incursión desde un punto de vista cuantitativo para una vez implantado el plan de cuidados realizado, evaluar su efectividad mediante técnicas cuantitativas para conocer su validez[Resumo] Segundo a OMS o cancro é unha das principais causas de morte en todo o mundo1.Os avances conseguidos no tratamento do cancro permitiron un aumento significativo da supervivencia nos últimos anos, un do principais tratamento é a quimioterapia, que consiste no uso de sustancias citotóxicas para inhibir o crecemento indiscriminado de células cancerígenas, a agresividade deste tratamento provoca unha serie de efectos secundarios non desexados polo que parece esencial buscar unha ferramenta que axude á enfermería para aplicar os coidados necesarios durante o tratamento con quimioterapia para que a calidade de vida dos pacientes durante o tratamento mellore e reciban unha atención especializada e de calidade pero contemplando para facelo tanto aos profesionais como a percepción global dos pacientes neste momento do tratamento oncolóxico. Por medio desta proposta de investigación preténdese: Obxectivo xeral Dar unha ferramenta ao profesional enfermeiro para intervir durante todo o tratamento con quimioterapia co paciente oncolóxico e darlle unha atención máis especializada e de calidade Obxectivos específicos Coñecer as principais complicacións do tratamento con quimioterapia que estean dentro do ámbito de competencias enfermeiras non só co punto de vista dos profesionais senón validado tamén polos pacientes que o sofren Elaborar plans de coidados estandarizados sobre o tema mediante linguaxe enfermeiro estandarizado que engloben as necesidades do paciente como un ser biopsicosocial. Metodoloxía levará a cabo un estudo mediante metodoloxía mixta, nas unidades de Hospital de día e a sexta planta de hospitalización do complexo hospitalario Arquitecto Marcide (oncoloxía), realizásense dúas incursións no campo de estudo: a primeira cualitativa para obter datos que nos permitan realizar a sistematización de coidados enfermeiros non só desde o punto de vista enfermeiro senón tamén incluíndo as percepcións dos pacientes e outra incursión desde un punto de vista cuantitativo para unha vez implantado o plan de coidados realizado, avaliar a súa efectividade mediante técnicas cuantitativas para coñecer a súa validez[Abstract] According to the WHO, cancer is the leading cause of death worldwide. () The advances made in cancer treatment have allowed a significant increase in survival in recent years, one of the main treatment is chemotherapy, consisting of In the use of cytostatics to inhibit the indiscriminate growth of cancer cells, the aggressiveness of this treatment causes a series of undesirable side effects so it seems essential to look for a tool that helps the nursing to apply the necessary care during the treatment with chemotherapy So that the quality of life of the patients during the treatment improves and receive specialized and quality care but contemplating to do so both the professionals and the global perception of the patients at this time of the cancer treatment. Through this research it is intended: General objective Give a tool to intervene dur nurse practitioner primarily chemotherapy treatment with oncology patient and give it a logical or attention or to specialized nm s and quality Specific objectives Know the main complications of chemotherapy treatment that is Appen within a m bito nursing skills not only with the point of view of the professionals but also é n validated by patients who suffer Develop standardized care plans on the subject using standardized nursing language encompassing the needs of the patient as a biopsychosocial being. Methodology A study by mixed methodology will be carried out in the Hospital of the day and the sixth floor of the hospitalization of the hospital complex Arquitecto Marcide (oncology), two incursions will be carried out in the field of study: the first qualitative one to obtain data that we Allow to perform the systematization of nursing care not only from the point of view of nurses but also including the patients' perceptions and another incursion from a quantitative point of view for once the care plan has been implemented, to evaluate their effectiveness through quantitative techniques to know Its validityTraballo fin de grao (UDC.FEP). Enfermaría. Curso 2016/201

Moving Archival Practices Upstream: An Exploration of the Life Cycle of Ecological Sensing Data in Collaborative Field Research

The success of eScience research depends not only upon effective collaboration between scientists and technologists but also upon the active involvement of data archivists. Archivists rarely receive scientific data until findings are published, by which time important information about their origins, context, and provenance may be lost. Research reported here addresses the life cycle of data from collaborative ecological research with embedded networked sensing technologies. A better understanding of these processes will enable archivists to participate in earlier stages of the life cycle and to improve curation of these types of scientific data. Evidence from our interview study and field research yields a nine-stage life cycle. Among the findings are the cumulative effect of decisions made at each stage of the life cycle; the balance of decision-making between scientific and technology research partners; and the loss of certain types of data that may be essential to later interpretation

Challenges and future directions for data management in the geosciences

Author Posting. © American Meteorological Society, 2019. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Bulletin of the American Meteorological Society 100(5), (2019): 909-912, doi: 10.1175/BAMS-D-18-0319.1.The open availability and wide accessibility of digital scientific resources, such as articles and datasets, is becoming the norm for twenty-first-century science. Geoscience researchers are now being asked by funding agencies and scientific publishers to archive and cite data to support open access but often struggle to understand, interpret, and fulfill these requirements. To fulfill the promise of new open data initiatives, 1) scientific resources (e.g., data and software) must be collected and documented properly; 2) repository services, including preservation and storage capabilities, must be maintained, supported, and improved over time; and 3) governance institutions must be established. These issues were discussed in the Geoscience Digital Data Resource and Repository Service (GeoDaRRS) workshop,1 held in August 2018, at NCAR. The workshop brought together more than 60 geoscience researchers, technology experts, scientific publishers, funders, and data repository personnel to discuss data management challenges and opportunities within the geosciences. This included exploring whether new services are needed to complement existing data facilities, particularly in the areas of 1) data management planning support resources and 2) repository services for geoscience researchers who have data that do not fit in any existing repository. More details on the workshop agenda and recommendations are available in the final workshop report (Mayernik et al. 2018).The National Science Foundation (NSF) provided the funding support for this workshop. We also thank Cecilia Banner and Elizabeth Faircloth of NCAR for administrative and logistical support.2020-06-0