Data Viz CE 2014 Intro and Overview
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This document provides an overview of a course on data visualization fundamentals. The course covers topics like vision and the brain, color, data visualization tools, and storytelling with data. It emphasizes that effective data visualization reveals patterns, communicates ideas, and presents information in a way that offloads cognition by using the power of visual perception. The goal is to teach students how to make their data visually excellent and tell compelling stories without requiring advanced programming or software skills.
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Scientific Writing 2014 IEH
This document provides tips for effective science writing. It discusses four key constraints: audience, format, mechanics, and politics. Some practical tips include using verbs to describe actions, keeping subjects near verbs for clarity, and placing new information at the end of sentences. Cohesion, coherence and emphasis are important, such as introducing familiar information before new details. The document stresses keeping writing concise and clear. Effective science communication is important, and the key is to practice writing skills.
Data Management
data management, information management, data, big data, personal organization, organization, file management, scientific research, research, project management, data security, file naming conventions, data management plan,
Rw 2014 poster final
This document provides guidance on creating effective posters for presenting research. It discusses including a brief title, introduction, materials and methods, results, and conclusions sections. Visual elements should be used extensively, with minimal text. Images and graphics should have labels and scales. Consistent formatting and high contrast between text and background is advised. Effective use of color and layout is also covered. The document emphasizes practicing the poster presentation to feel comfortable speaking about the research. Contact information should be clearly displayed.
Data Management Open House
data management, information, data, scholarly communication, research, science, publication, peer review, alt metrics
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SPARC 2013 Data Management Presentation
The document discusses the importance of good data management practices for reasons such as ensuring reproducibility of research, accelerating scientific discovery, and giving proper credit to data sources. It provides an overview of best practices for data management, including using informative file naming and organization, creating detailed metadata, employing controlled vocabularies and ontologies, utilizing database and file management tools, and sharing data through appropriate repositories. The presenters are experts on data management who aim to help researchers overcome common frustrations and adopt better strategies.
Science is a moving target
The document discusses research and the research cycle. It describes both the idealized view of the research cycle as a linear process from idea to fame, as well as the messier reality. It also mentions sources for new ideas such as existing data, literature, conferences, colleagues and team science. Finally, it lists many research centers and resources available at OHSU to support the research process.
Powered by Libraries: Leveraging Libraries for Semantic Web and Linked Open D...
While data is the cornerstone of scientific research, traditional mechanisms of research assessment overlook these data outputs, instead focusing solely on publications. However, publications are just the tip of the iceberg: in reality, science is based on a complex landscape of research data and activities, which can be published or shared beyond traditional journal articles. Information scientists and software engineers are now working to relate and make accessible all of this data for research networking, research evaluation, resource sharing, and hypothesis discovery. Furthermore, federal funding agencies are increasing their requirements for data sharing and data standardization. Researchers, though, are often largely unaware of data standardization efforts and tools to access shared data.
In order to deal with this onslaught of data, standards, and tools, universities are asking libraries to play an increasing role in information management strategies. This includes training, data housing, and dissemination of information about tool resources. Libraries are at a key intersection between the research community and semantic engineers, and are increasingly hiring specialists with a research background to provide data modeling, curation, and scientific information dissemination services. As a result, libraries have been working closely with the research community to build and integrate semantic tools into the entire research cycle. Librarians can help researchers understand ways to interpret and share their data, and use tools to query the large amounts of existing data.
RML NCBI Resources
NCBI has developed a powerful suite of online biomedical and bioinformatics resources, including old friends like PubMed and OMIM and newer resources such as Genome. This collection of databases and tools are widely used by scientists and medical professionals across the world. With such a wealth of information, it is easy to get overwhelmed. Join us for an overview to NCBI resources for the information professional with an emphasis on biodata connectivity. No science degree required!
Science101 slideshare
This document provides an overview of science 101 and key concepts in cell biology and biochemistry. It begins with defining science and the different disciplines within biomedical health sciences. It then covers cells and their components, the central dogma of DNA transcription and RNA translation, and the molecular architecture of DNA, RNA and proteins. Specific topics discussed include eukaryotic and prokaryotic cells, organelles, the nucleus and DNA packaging, RNA structures and functions, amino acids, protein folding and secondary structures.
Science 101 Preview
This preview is for a continuing education event rated as general audiences for all ages that will be held at the 2011 OHSLA meeting. Drs. Wirz and Nelsen will present the session "It Came from the Lab! Science 101" which will give a quick review of basic science concepts in an entertaining and nerdy way to help attendees who may be scared of science or don't know where to begin learning. The session aims to make continuing education fun and help attendees feel more comfortable with science.
NCBI Boot Camp for Beginners Slides
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Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Data Viz CE 2014 Intro and Overview
- 1. FUNDAMENTALS OF DATA VISUALIZATION Quint 2014 http://libguides.ohsu.edu/DataViz
- 2. Hello there!
- 3. Hello there! What is graphical excellence?
- 4. Hello there! how can I make my data visually Excellent?
- 5. What this class is not about…
- 10. Aim Here! pretty ugly useful crap Today’s Lecture
- 11. Without Programming Or software! pretty ugly useful crap Today’s Lecture
- 12. 1 | Vision & the Brain 2 | Color 3 | Toolkit 4 | Storytelling 5 | Library
- 13. 0 | foundations
- 14. Who |What | why | how
- 15. Who |What | why | how
- 17. 1: Draw a graph about yourself 2: why are you taking this ce?
- 23. 1: Draw a graph about yourself 2: why are you taking this ce?
- 24. Hello there!
- 25. Who |What | why | how
- 26. What is data visualization?
- 27. “Data visualization reveals patterns, communicates ideas and effectively presents information using the power of perception to offload cognition” -Hanspeter Pfister
- 28. Record E. J. Muybridge, 1878 Konya town map, Turkey, c. 6200 BC
- 29. Analyze Planetary Movement Diagram, c. 950 W. Playfair,1759-1823
- 30. Patterns John Snow, 1854
- 34. Communicate C.J. Minard, 1869 F. Nightingale, 1856
- 38. Who |What | why | how
- 39. Why is vision important?
- 41. “If information is presented orally, people remember about 10%... That number goes up by 65% if you add a picture.”
- 42. “If information is presented orally, people remember about 10%... That number goes up by 65% if you add a picture.” *
- 46. 867-5309
- 47. 865-5309
- 48. 865-5309
- 49. “What I am really try to do is bring birth to clarity… It's all visual. It's hard to explain.” -Feynman
- 50. Ethics
- 51. “With great power comes great responsibility…” -Uncle Ben, Spiderman
- 52. Name Pie A 39.0% Other 21.2% B 19.5% C 9.8% D 7.4% E 3.1%
- 53. Name Pie A 39.0% Other 21.2% B 19.5% C 9.8% D 7.4% E 3.1%
- 54. 39 21.2 19.5 9.8 7.4 3.1 A Other B C D E Name Percent of Pie
- 55. Name 39 19.5 9.8 7.4 3.1 21.2 A B C D E Other Percent of Pie
- 57. Who| what | why | how
- 58. How do we go about this?
- 59. Vision & the Mind
- 60. Color
- 61. Toolkit ψ
- 62. Storytelling
- 63. “When we make a visualization from our data, we are telling a story, and a good story helps us gain insights.” -Steven B
- 64. FUNDAMENTALS OF DATA VISUALIZATION Introduction and Overview