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

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

LIS Programs and Data Centers: Integrating Expertise

Scientific data centers have provided data services to research communities for decades and are invaluable educational partners for iSchools developing academic programs in data curation. This paper presents analyses from three years of internship placements at the National Center for Atmospheric Research and interviews with managers at prominent data centers across the country, as part of the Data Curation Education in Research Centers project. Key benefits of the internship program are identified, from the perspective of student learning and the contributions made by iSchool students to data center operations. The interviews extend the case results, providing evidence for potential data curation internship programs at data centers. The DCERC education model fosters integration of expertise across the iSchool and data center communities, enriching academic preparation with state-of-the-art practical experience in ways that are vital to the emerging data profession and its ability to meet the future demands of data-intensive research.ye

Enriching Education with Exemplars in Practice: Iterative Development of Data Curation Internships

Partnerships between educational programs and research centers are vital to meeting the escalating workforce demands in data curation. They offer a platform for educators to increase their knowledge of current best practices and emerging challenges in the field. Student internships can be key to the success of these partnerships, not just for the students who gain authentic experience in facilities that excel at data intensive research and data services. Such partnerships provide an effective platform for rich and mutually beneficial engagement among educators, data professionals, scientists, and students. This paper reports on results from the Data Curation Education in Research Centers (DCERC) program aimed at developing a model for data curation education featuring field experiences in exemplar research centers. A strength of the DCERC model is its emphasis on facilitating mutual exchange of information among the DCERC program mentors and students. This model has evolved as a result of iterative and gradual refinements to the program model based upon information gathered from the formative evaluation. These refinements not only resulted in improved outcomes for the program participants but also, we believe, a more sustainable model for the program that leverages the knowledge base of the research scientists and students through peer-to-peer learning, rather than a traditional expert to trainee model. This paper describes formative evaluation findings that shaped the development of the DCERC program. We conclude with a discussion of the critical features of this model for the development of similar programs, and a data curation workforce that is able to accommodate and adapt to emergent data needs in a variety of environments

A Collaborative Clearinghouse for Data Management Training and Education Resources

Objective: The main objectives of this breakout session are for the Data Management Training (DMT) Clearinghouse team to: 1) introduce the Clearinghouse and its current design and implementation, 2) solicit submissions to its learning resource inventory, and 3) collect feedback upon its web interface and future development. Features of the Clearinghouse that will be demonstrated include how to search and browse its inventory as well as submit a learning resource to the Clearinghouse using the LRMI (Learning Resource Metadata Initiative) metadata format. The team will also share the roadmap for the Clearinghouse’s upcoming features. In order to provide feedback regarding the Clearinghouse’s usability, the team will invite the session attendees to test the Clearinghouse’s services and will encourage comments to guide its future development. Setting/Participants/Resources: Since the DMT Clearinghouse is entirely accessible via the web, in order to demonstrate the Clearinghouse successfully, a reliable (and preferably free of charge) internet connection, and an overhead projecting capability will need to be available to the presenter. It would also be very useful for the attendees of the session to have access to the same internet connection, so that if they desire, the attendees can follow along with the steps of the demonstration, and contribute to the Clearinghouse inventory. The main presenter will plan to bring her own laptop with built-in standard HDMI and USB ports. As a result, it will be helpful if a HDMI or USB cable could also be provided for the presenter to connect her laptop to the projecting equipment. Method: Many research organizations, government agencies, and academic institutions have been developing excellent learning resources in order to support and meet the needs for data management training. However, these learning resources are often hosted on various websites and spread across various scientific domains. Consequently, these resources can be difficult to locate, especially by those who are not already familiar with the creators/authors. This is a barrier to the use and reuse of these resources, and can have significant impact on the promotion and propagation of best practices for data management. To address this need within the Earth sciences, the U.S. Geological Survey’s (USGS) Community for Data Integration (CDI), the Federation of Earth Science Information Partners (ESIP), and the Data Observation Network for Earth (DataONE) have collaborated to create a web-based Clearinghouse1 for collecting data management learning resources that are focused on the Earth sciences. The initial seed funding for the effort was provided by a grant received from the USGS CDI earlier in 2016, and ESIP’s Drupal site provided the hosting infrastructure for the Clearinghouse. Members from the USGS, DataONE, ESIP’s Data Stewardship Committee and its Data Management Training Working Group, Knowledge Motifs LLC, as well as Blue Dot Lab met regularly between April and October, 2016 in order to discuss, create, and implement the content structure and infrastructure components necessary to build the current revision of the Clearinghouse. 1. http://dmtclearinghouse.esipfed.org Results: As a registry of information about the educational resources on topics related to research data management (initially focused on Earth sciences), the Clearinghouse serves as a centralized location for searching or browsing an inventory of these learning resources. Currently, the Clearinghouse offers search and browse functionality that is open to all, and submission of information about educational resources by login with a free ESIP account. To assist with discoverability, the learning resources are described using Learning Resource Metadata Initiative (LRMI) schema. Additionally, the resources may be associated with the steps of data and research life cycles, such as the USGS CDI’s Science Support Framework2 and DataONE’s Data Life Cycle3. Leveraging the team’s collective experience in creating, presenting and distributing data management learning resources, the Clearinghouse included the learning resources from USGS, ESIP, and DataONE as its initial inventory, but is expanding to resources from NASA and others. Crowdsourcing is currently the main mechanism for sustaining the Clearinghouse. Going forward, in addition to the built-in workflow to allow anyone from the public to submit descriptive information about the data management learning resources that s/he wishes to share, future capabilities will be added to enable contributions to review, edit, and rank the submissions, as desired. 2. https://my.usgs.gov/confluence/display/cdi/CDI+Science+Support+Framework3. https://www.dataone.org/data-life-cycle Discussion/Conclusion: The DMT Clearinghouse team was successful in completing the initial development phase as scheduled for the first six months of its funding, including some informal usability testing of the interface. The team aims to continue to develop and enhance the Clearinghouse’s capabilities, including the evaluation of its usability, through collaboration with additional communities, and if feasible, adding the capability for bulk-loading of learning resources. Being able to present the Clearinghouse at the eScience Symposium would not only allow those who are involved with or would like to learn about data management to leverage the Clearinghouse’s resources, but also connect those who would like to contribute to the project with the Clearinghouse team. Ultimately, the Clearinghouse is designed so that the resources from its inventory could be used in a variety of data management training and education environments. By exposing the Clearinghouse to diverse users and communities, the Clearinghouse team can better assess how the Clearinghouse can be updated and what technological enhancements to pursue in the future in order to improve our support of research data management training needs

The Product and System Specificities of Measuring Curation Impact

Using three datasets archived at the National Center for Atmospheric Research (NCAR), we describe the creation of a ‘data usage index’ for curation-specific impact assessments. Our work is focused on quantitatively evaluating climate and weather data used in earth and space science research, but we also discuss the application of this approach to other research data contexts. We conclude with some proposed future directions for metric-based work in data curation

Processes and Procedures for Data Publication: A Case Study in the Geosciences

The Peer REview for Publication and Accreditation of Research Data in the Earth sciences (PREPARDE) project is a JISC and NERC funded project which aims to investigate the policies and procedures required for the formal publication of research data, ranging from ingestion into a data repository, through to formal publication in a data journal. It also addresses key issues arising in the data publication paradigm, including, but not limited to, issues related to how one peer reviews a dataset, what criteria are needed for a repository to be considered objectively trustworthy, and how datasets and journal publications can be effectively cross-linked for the benefit of the wider research community. PREPARDE brings together a wide range of experts in the research, academic publishing and data management fields both within the Earth Sciences and in the broader life sciences with the aim of producing general guidelines applicable to a wide range of scientific disciplines and data publication types. This paper provides details of the work done in the first half of the project; the project itself will be completed in June 2013