Human biospecimens have played a crucial role in scientific and medical advances. Although the ethical and policy issues associated with biospecimen research have long been the subject of scholarly debate, the story of attention of a much broader audience. The story has been a catalyst for policy change, including major regulatory changes proposed in the United States surrounding informed consent. These proposals are premised in part on public opinion data, necessitating a closer look at what such data tell us. The development of biospecimen policy should be informed by many considerations—one of which is public input, robustly gathered, on acceptable approaches that optimize shared interests, including access for all to the benefits of research. There is a need for consent approaches that are guided by realistic aspirations and a balanced view of autonomy within an expanded ethical framework.

Data for Democracy is partnering with Bloomberg and BrightHive to develop a code of ethics for data scientists. This code will aim to define values and priorities for overall ethical behavior, in order to guide a data scientist in being a thoughtful, responsible agent of change. The code of ethics is being developed through a community-driven approach.

By hosting discussions among data scientists, we hope to better capture the diverse interests, needs, and concerns that are at play in the community, and put together a code that is truly created by data scientists, for data scientists.

This code of ethics for data sharing is created and proposed for adoption by the data science community to reflect the behaviors and principles for the responsible and ethical use and sharing of data by data scientists. 

As a community-driven crowdsourced effort, you can join the the discussion and contribute to the next version of the Community Principles on Ethical Data Sharing.

This interface can view .qza and .qzv files directly in your browser without uploading to a server.

QIIME 2 View (or q2view for short) is an entirely client-side interface for viewing QIIME 2 artifacts and visualizations (.qza/.qzv files respectively). This means that you do not need to have a working QIIME 2 installation to inspect QIIME 2 results. It also means that the files you provide are not sent beyond your browser. In other words, this entire site functions without a server (which makes it very inexpensive to operate).

Additionally, q2view supports viewing externally hosted files, which means you can provide a link to your file (for example on Dropbox) and q2view will automatically download and display it. Better yet, the resulting pages are themselves shareable, so if a collaborator does not have QIIME 2, you can simply upload your results and share your q2view links with your collaborator. q2view will automatically fetch your results and display them to your collaborator.

The Allen Cell Explorer is the data portal for the Allen Institute for Cell Science, where you can explore our publicly available data, tools and models. The portal provides an unprecedented view into the organizational diversity of human stem cells by combining large-scale 3D imaging data, predictive models, observations of cells, detailed methods, and cell lines that can be purchased for use in labs around the world.

Here are some sample datasets so that you can explore PacBio® sequence data as well as file types generated by the PacBio RS and SMRT® Analysis.

The bioinformatics competencies that NIBLSE recommends undergraduate life sciences students have by the time they graduate. As discussed in the narrative, they are informed by the results of the national NIBLSE survey, analysis of ninety syllabi with bioinformatics content, and the cumulative expertise and experience of the authors. Following each competency is a list of three representative examples illustrating the competency. 

This is an Open Educational Resource written on the PressBooks platform. This textbook has great resources and concise chapters you can assign to students.

Illumina presentation by Matt Angel on 6/12/2018.

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Our mission is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research. Data Carpentry is a sibling organization of Software Carpentry. Where Software Carpentry teaches best practices in software development, our focus is on the introductory computational skills needed for data management and analysis in all domains of research. Our lessons are domain specific, from life and physical sciences to social science and build on the existing knowledge of learners to enable them to quickly apply skills learned to their own research. Our initial target audience is learners who have little to no prior computational experience. We create a friendly environment for learning to empower researchers and enable data driven discovery.

Since 1998, Software Carpentry has been teaching researchers the computing skills they need to get more done in less time and with less pain. Our volunteer instructors have run hundreds of events for more than 34,000 researchers since 2012. All of our lesson materials are freely reusable under the Creative Commons - Attribution license.

The Software Carpentry Foundation and its sibling project, Data Carpentry, have merged to become The Carpentries, a fiscally sponsored project of Community Initiatives, a 501(c)3 non-profit incorporated in the United States.

Science in the Classroom (SitC) is a collection of freely available annotated research papers from the Science family of journals. SitC aims to help educators, undergraduates, and advanced high school students understand the research contained in scientific primary literature by using annotations and providing accompanying teaching materials. Annotations include vocabulary, methods, descriptions of prior research, and explanations of major conclusions. Each paper has an educator's guide outlining connections to science competencies within STEM learning frameworks and standards. Educator guides also provide suggested activities, discussion questions, and resources for further exploration of the subject.

Using deep learning to illuminate cell structure

The Allen Integrated Cell unites two cutting-edge technologies to visualize and understand the organization of the major organelles and structures that comprise human induced pluripotent stem cells.

​Explore the 3D outputs of these models with our online integrated cell viewer.

swirl teaches you R programming and data science interactively, at your own pace, and right in the R console!

Since 1998, Software Carpentry has been teaching researchers the computing skills they need to get more done in less time and with less pain. Our volunteer instructors have run hundreds of events for more than 34,000 researchers since 2012. All of our lesson materials are freely reusable under the Creative Commons - Attribution license.

The Software Carpentry Foundation and its sibling project, Data Carpentry, have merged to become The Carpentries, a fiscally sponsored project of Community Initiatives, a 501(c)3 non-profit incorporated in the United States.

The mission of the National Center for Case Study Teaching in Science at the University at Buffalo is to promote the development and dissemination of materials and practices for case teaching in the sciences.  Our website provides access to an award-winning collection of peer-reviewed case studies.  We offer a five-day summer workshop and a two-day fall conference to train faculty in the case method of teaching science.  In addition, we are actively engaged in educational research to assess the impact of the case method on student learning.

What is CASES Online?

CASES Online is a collection of inquiry-based lessons to engage K-12 and undergraduate students in exploring the science behind real-world problems. Through CASES, you can transform your students into motivated investigators, self-directed and life-long learners, critical thinkers and keen problem solvers. Our cases are grounded in Problem-Based Learning (PBL), Investigative Case-Based Learning (ICBL), and related student-centered pedagogies. [more]

The Online Ethics Center (OEC) is a resource maintained by the Center for Engineering Ethics and Society (CEES) at the National Academy of Engineering (NAE).

Mission

The OEC mission is to

• provide engineers, scientists, faculty, and students with resources for understanding and addressing ethically significant issues that arise in scientific and engineering practice and from the developments of science and engineering; and
• serve those who promote learning and advance understanding of responsible research and practice in engineering and science.

The Science Case Network, a newly established Research Coordination Network for Undergraduate Biology Education, centers on expanding the use of and knowledge about two effective teaching approaches: case studies and problem based learning (PBL). The Science Case Network seeks to connect case study and PBL innovators, researchers, and user groups to further the understanding of the effectiveness of these methods.

Case studies and PBL have been shown to help undergraduates develop superior skills in question formulation and data analysis while they learn as much content as with traditional methods. Using these approaches, students collaboratively analyze a scenario that presents a biological issue within a realistic setting. Students then conduct investigations and report findings.

Founded in 2002 by Nobel Laureate Carl Wieman, the PhET Interactive Simulations project at the University of Colorado Boulder creates free interactive math and science simulations. PhET sims are based on extensive education research and engage students through an intuitive, game-like environment where students learn through exploration and discovery.

INTERACT, DISCOVER, LEARN!

As a national resource for molecular biology information, NCBI's mission is to develop new information technologies to aid in the understanding of fundamental molecular and genetic processes that control health and disease. More specifically, the NCBI has been charged with creating automated systems for storing and analyzing knowledge about molecular biology, biochemistry, and genetics; facilitating the use of such databases and software by the research and medical community; coordinating efforts to gather biotechnology information both nationally and internationally; and performing research into advanced methods of computer-based information processing for analyzing the structure and function of biologically important molecules.