scholarly journals Preparing the Next Generation of Data-Driven Scientists through the Biodiversity Literacy in Undergraduate Education – Data Initiative (BLUE Data)

2018 ◽  
Vol 2 ◽  
pp. e27162
Author(s):  
Anna Monfils ◽  
Elizabeth Ellwood ◽  
Debra Linton ◽  
Molly Phillips ◽  
Lisa White ◽  
...  

The Biodiversity Literacy in Undergraduate Education - Data Initiative (BLUE Data) is a US National Science Foundation-funded Research Coordination Network in Undergraduate Biology (RCN-UBE) working to generate community consensus around biodiversity data literacy skills. This diverse network brings together biodiversity, data, and education specialists to identify core biodiversity data competencies for undergraduate students, develop strategies for integrating these competencies into the introductory biology curriculum, and build capacity for sustained development and implementation of biodiversity and data literacy education. Since the start of funding one year ago, BLUE Data has been working to review the current landscape of data literacy competencies from primary to graduate education in biodiversity data science, identify gaps in student learning related to data and biodiversity science core skills, and generate community consensus on defined biodiversity data literacy standards. At a recent BLUE Data workshop associated with the Emerging Innovations for Biodiversity Data conference in Berkeley, California, participants worked together to define competencies and identify strategies to facilitate broad-scale integration of transferrable data literacy skills and knowledge to improve undergraduate biology training and meet increasing workforce demands in both data and biodiversity sciences. This discussion also identified current efforts and explored existing resources in order to identify gaps that should be targeted in our efforts moving forward. In this presentation, we will introduce the SPNHC and TDWG communities to BLUE Data, and describe our vision and goals, partners, and educational modules. We will share results from our recent activities, including the outcomes of the Emerging Innovations for Biodiversity Data workshop. BLUE Data welcomes new partnerships with those also interested in defining the undergraduate biodiversity data literacy landscape and charting future efforts of this network.

Author(s):  
Elizabeth R. Ellwood ◽  
Anna Monfils ◽  
Lisa White ◽  
Debra Linton ◽  
Natalie Douglas ◽  
...  

The biodiversity sciences have experienced a rapid mobilization of data that has increased our capacity to investigate large-scale issues of critical importance (e.g., climate change and its impacts, zoonotic disease transmission, sustainable resource management, impacts of invasive species, and biodiversity loss). Several initiatives are underway to aggregate and mobilize these biodiversity, environmental, and ecological data resources (iDigBio, NEON, GBIF, iNaturalist, etc.). This requires a new set of skills for the 21st century biodiversity scientist; who is required to be fluent in integrative fields spanning evolutionary biology, systematics, ecology, geology, and environmental science and possess the quantitative, computational, and data skills to conduct research using large and complex datasets. The biodiversity science community has recognized a need to unite biodiversity and data sciences and improve data literacy in the emerging science workforce. The NSF-funded Biodiversity Literacy in Undergraduate Education (BLUE; biodiversityliteracy.com) is working to bridge a gap between efforts that currently exists to promote data literacy pre-college and professional development for those pursuing careers in biodiversity science. The BLUE network is developing strategies and materials to infuse biodiversity data into the core of the undergraduate science curriculum, facilitating broad-scale adoption of biodiversity data literacy competencies, and improving undergraduate biology training to meet increasing workforce demands in data and biodiversity sciences. The BLUE network has four major goals: 1) Cultivate a diverse and inclusive network of biodiversity researchers, data scientists, and biology educators focused on undergraduate data-centric biodiversity education; 2) build community consensus on core biodiversity data literacy competencies; 3) develop strategies and exemplar materials to guide the integration of biodiversity data literacy competencies into introductory undergraduate biology curricula; and 4) extend the network to engage a broader community of undergraduate educators in biodiversity data literacy efforts. The BLUE community continues to grow and build new partnerships and initiatives across the biodiversity science community. In year two of the BLUE network we have been focusing efforts building the community, developing and disseminating exemplar educational materials, and defining core biodiversity data literacy skills and competencies. We will present our current and ongoing work and ways in which members of the biodiversity_next community can be involved in shaping the biodiversity science of the future, while addressing the needs of a changing planet.


Author(s):  
François Michonneau ◽  
Deborah Paul

The expanding availability of access to data about museum specimens, species occurrences, trait data, genetics, and landscapes is revolutionizing biodiversity research. But mobilizing, evaluating, and synthesizing these data to address research questions requires domain-specific computing skills and knowledge. The Carpentries is a global non-profit organization teaching researchers computational and data science skills for data management and analysis in all domains of research. The Carpentries' teaching practices are based on evidence from the science of learning. Current domain-specific lessons include life, physical, and social sciences. Hands-on exercises build on the existing knowledge of learners, quickly enabling them to apply skills learned to their research. The Carpentries' train-the-trainer model, its globally established community of ~2,000 instructors and its network of regional coordinators have allowed the organization to scale up rapidly, and over 40,000 learners have participated in Carpentries workshops since 2012. The Carpentries assessment program evaluates the impact of attending a workshop on the participants' perception of their skills and confidence. After attending a Carpentries workshop, participants feel more confident in their ability to program and to overcome issues with their analysis. The Carpentries' mentoring program ensures that newly certified instructors receive support and guidance to successfully engage in leading and teaching workshops. Pairing new and experienced instructors, in combination with the development of local communities of instructors, have contributed to the success of The Carpentries workshops. The Carpentries collaboratively seeks to develop new curricula to address the training needs of the biodiversity data community. Establishing training partnerships between The Carpentries and the various organizations involved in building biodiversity data science skills capacity would increase reach and efficacy. We seek to foster institutional and organizational collaborations that can support the establishment and growth of the infrastructure needed to provide the computational and data literacy skills needed to empower our stakeholders. These include those creating and mobilizing data (e.g., collectors, ecologists, conservationists, curators, collection/data managers), for all scientists, policy-makers, educators, and students who want to use biodiversity data.


2017 ◽  
Author(s):  
Adam Beauchamp ◽  
Christine Murray

In Databrarianship: The Academic Data Librarian in Theory and Practice, edited by Linda Kellam and Kristi Thompson. Chicago: Association of College and Research Libraries, 2015.Undergraduate students often struggle when asked to locate, evaluate, and use data in their research, and librarians have an opportunity to support them as they learn data literacy skills. Much of the literature on data librarianship in this area focuses on data reference services, but there is a lack of scholarship and guidance on how to translate data reference expertise into effective teaching strategies. In this chapter, the authors will bridge that gap between data reference and information literacy instruction.


Author(s):  
Teresa Mourad

Symposium “Completing the Data Pipeline: Collections Data Use in Research, Education and Outreach. The conference theme, Collections and Data in an Uncertain World, turns the spotlight on a number of opportunities that can advance the experience of undergraduate biology education. Today, millions of records from Natural History Collections worldwide are available to students and educators through portals such as iDigBio, https://www.idigbio.org/portal/search. These records facilitate explorations for disciplinary and interdisciplinary understanding of a changing and uncertain biodiversity landscape across space and time. Biological and paleontological specimens data can be combined with ecological or geological data to investigate large scale questions related to climate change, invasive species or resource management. This session highlights resources and initiatives of the Ecological Society of America (ESA) for undergraduate students and faculty that focus on emerging developments in core competencies, careers and diversity. For too long, undergraduate biology/ecology education has centered primarily round mastery of disciplinary content often involving rote learning. The Vision and Change in Undergraduate Biology Education conference organized by the American Association for the Advancement of Science (AAAS) in 2009 identified a set of core competencies that include understanding of the nature of science, communication, collaboration, and quantitative skills. These skills, and the fluency across disciplines such as ecology, environmental science, evolutionary biology and systematics are the hallmarks of the 21st century biologist. www.visionandchange.org ESA has long advocated active learning in the classroom. In 2006, ESA education leaders launched, Teaching Issues and Experiments in Ecology (TIEE), an education journal designed to promote inquiry, scientific thinking, collaborative work, formative evaluation, and alternative assessment in the college classroom. Today, the LifeDiscoveryEd Digital Library (LDDL), www.lifediscoveryed.org, built on the metadata architecture of ESA’s EcoEd Digital Library established in 2006, serves three disciplinary society communities including ESA, Botanical Society of America (BSA) and Society for the Study of Evolution (SSE), encouraging cross-dissemination of resources. Together, the three societies form the LifeDiscovery partners and co-organize the Life Discovery – Doing Science Biology Education conference (LDC) every 18 months, www.esa.org/ldc. A unique feature of the LDC is the Education Share Fair where participants may present teaching ideas at any stage of development to solicit feedback from their peers. In a response to a need for a more robust approach to advancing data literacy, ESA joined with the Quantitative Undergraduate Biology Education and Synthesis (QUBES) project, to offer a series of Faculty Mentoring Networks (FMN) launched in 2016, https://qubeshub.org, http://esa.org/fed/fmn/. Additionally, ESA is a pioneer in undergraduate diversity mentoring through the Strategies for Ecology Education, Diversity and Sustainability (SEEDS) program, www.esa.org/seeds which has a campus chapter network in 100 campuses developed since 1996. In 2016, ESA became involved in the 3dnaturalists project, led by Colorado State University, that seeks to understand how bioblitzes might make a difference in recruiting and retaining underrepresented minorities in ecology and sustainability sciences. In 2017, ESA joined the Core Team of the Biodiversity Literacy in Undergraduate Education (BLUE) network project to liaise with relevant scientific and professional societies and to provide input on engaging diverse participants in the project This session will discuss: how ESA’s education initiatives can be leveraged for faculty professional development in the Biodiversity Literacy in Undergraduate Education (BLUE) project. the ways that engaging students in biodiversity data in ecology research will open the doors to building key biological science competencies and 21st century careers the potential of using place-based specimen data through bioblitzes to engage minority students in a culturally responsive scientific endeavor. how ESA’s education initiatives can be leveraged for faculty professional development in the Biodiversity Literacy in Undergraduate Education (BLUE) project. the ways that engaging students in biodiversity data in ecology research will open the doors to building key biological science competencies and 21st century careers the potential of using place-based specimen data through bioblitzes to engage minority students in a culturally responsive scientific endeavor.


Data ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 10
Author(s):  
Nils Hachmeister ◽  
Katharina Weiß ◽  
Juliane Theiß ◽  
Reinhold Decker

Data are increasingly important in central facets of modern life: academics, professions, and society at large. Educating aspiring minds to meet highest standards in these facets is the mandate of institutions of higher education. This, naturally, includes the preparation for excelling in today’s data-driven world. In recent years, an intensive academic discussion has resulted in the distinction between two different modes of data related education: data science and data literacy education. As a large number of study programs and offers is emerging around the world, data literacy in higher education is a particular focus of this paper. These programs, despite sharing the same name, differ substantially in their educational content, i.e., a high plurality can be observed. This paper explores this plurality, comments on the role it might play and suggests ways it can be dealt with by maintaining a high degree of adaptiveness and plurality while simultaneously establishing a consistent educational “essence”. It identifies a skill set, data self-empowerment, as a potential part of this essence. Data science and literacy education are still experiencing changeability in their emergence as fields of study, while additionally being stirred up by rapid developments, bringing about a need for flexibility and dialectic.


2020 ◽  
Vol 43 (4) ◽  
pp. 1-11
Author(s):  
Yun Dai

Academic Libraries are ideally positioned to teach data literacy. What is ‘data literacy’ in the first place? Is it the new information literacy? Will the ways we teach information literacy limit imaginative ways to teach data literacy? With those questions in mind, the Library of New York University Shanghai has explored multiple ways to teach data literacy to undergraduate students through university events, ‘for-class’ instruction and workshops, and online casebooks. (1) We initiated the yearlong series of events titled ‘Lying with Data’, inviting faculty across disciplines to each address one core data literacy question that students of data science may elude. (2) We offered workshops and in-class instruction that are up-to-date with the latest technology and that fit with the curriculum. (3) We created online casebooks on various topics in the data lifecycle, tackling user needs at different levels. Essential to our teaching activities are two core values: ‘let the quality speak for itself’, and ‘outreach by teaching’. 


2018 ◽  
Vol 2 ◽  
pp. e27160
Author(s):  
Natalie Douglas ◽  
Anna Monfils ◽  
Elizabeth R. Ellwood

Implementation science boasts tools and techniques to increase the chances of adoption of best practices to a wide variety of users. Theoretical roots of implementation science are present in education, mental health and health services research. This talk will highlight the application of implementation science principles to the wide-spread adoption of biodiversity data literacy standards. Perspectives from key stakeholders including biology instructors of all ranks at community colleges, minority serving institutions, primarily undergraduate institutions, research intensive universities, biodiversity researchers, and scientific society leaders and policy makers, will be presented according to need, fit, resources, capacity and readiness to support the implementation of biodiversity data literacy standards in undergraduate biology curriculums. Through systematic exploration of the facilitators and barriers to the implementation of biodiversity data literacy standards across multiple participants and people groups, specific action steps will be highlighted to address such barriers. Consistent with the Vision and Change in Undergraduate Biology Education: A Call to Action, this talk will describe the collaborations completed and in-process by the BLUE network that support an accessible student and data-centered pedagogy, designed to support diverse and underrepresented learners. For example, core biodiversity data literacy competencies will be described according to field leaders and perceived barriers to implementation of these competencies will provide a springboard for further discussion and action. Principles of implementation science explicitly recognize that best practices such as biodiversity data literacy standards, are useful only if they reach diverse intended users – otherwise, best practices and core competencies may have the opposite effect – contributing to educational and health disparities. This talk will highlight the active implementation strategies BLUE has employed to support engagement across distinct people groups to support implementation of these standards. As opposed to developing standards and having a “wait and hope” approach to these standards distilling to undergraduate biology curriculums, strategies discussed in this talk will serve as a catalyst for wide-spread adoption of the standards scientists have worked so rigorously to foster.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Doetsch ◽  
I Lopes ◽  
R Redinha ◽  
H Barros

Abstract The usage and exchange of “big data” is at the forefront of the data science agenda where Record Linkage plays a prominent role in biomedical research. In an era of ubiquitous data exchange and big data, Record Linkage is almost inevitable, but raises ethical and legal problems, namely personal data and privacy protection. Record Linkage refers to the general merging of data information to consolidate facts about an individual or an event that are not available in a separate record. This article provides an overview of ethical challenges and research opportunities in linking routine data on health and education with cohort data from very preterm (VPT) infants in Portugal. Portuguese, European and International law has been reviewed on data processing, protection and privacy. A three-stage analysis was carried out: i) interplay of threefold law-levelling for Record Linkage at different levels; ii) impact of data protection and privacy rights for data processing, iii) data linkage process' challenges and opportunities for research. A framework to discuss the process and its implications for data protection and privacy was created. The GDPR functions as utmost substantial legal basis for the protection of personal data in Record Linkage, and explicit written consent is considered the appropriate basis for the processing sensitive data. In Portugal, retrospective access to routine data is permitted if anonymised; for health data if it meets data processing requirements declared with an explicit consent; for education data if the data processing rules are complied. Routine health and education data can be linked to cohort data if rights of the data subject and requirements and duties of processors and controllers are respected. A strong ethical context through the application of the GDPR in all phases of research need to be established to achieve Record Linkage between cohort and routine collected records for health and education data of VPT infants in Portugal. Key messages GDPR is the most important legal framework for the protection of personal data, however, its uniform approach granting freedom to its Member states hampers Record Linkage processes among EU countries. The question remains whether the gap between data protection and privacy is adequately balanced at three legal levels to guarantee freedom for research and the improvement of health of data subjects.


2021 ◽  
Vol 4 ◽  
pp. 152-165
Author(s):  
Andrew Iliadis Iliadis ◽  
Tony Liao ◽  
Isabel Pedersen ◽  
Jing Han

Machines produce and operate using complex systems of metadata that need to be catalogued, sorted, and processed. Many students lack the experience with metadata and sufficient knowledge about it to understand it as part of their data literacy skills. This paper describes an educational and interactive database activity designed for teaching undergraduate communication students about the creation, value, and logic of structured data. Through a set of virtual instructional videos and interactive visualizations, the paper describes how students can gain experience with structured data and apply that knowledge to successfully find, curate, and classify a digital archive of media artifacts. The pedagogical activity, teaching materials, and archives are facilitated through and housed in an online resource called Fabric of Digital Life (fabricofdigitallife.com). We end by discussing the activity’s relevance for the emerging field of human-machine communication.


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