Companion Site for Harvard Medical School Canvas Network MOOC Best Practices for Biomedical Research Data Management. This Open Science Framework project site includes all the materials contained in the Canvas course including: readings and resources; slide presentations; video lectures; activity outlines; research case studies and questions; and quiz questions with answer guide.

Biomedical research today is not only rigorous, innovative and insightful, it also has to be organized and reproducible. With more capacity to create and store data, there is the challenge of making data discoverable, understandable, and reusable. Many funding agencies and journal publishers are requiring publication of relevant data to promote open science and reproducibility of research.

In order to meet to these requirements and evolving trends, researchers and information professionals will need the data management and curation knowledge and skills to support the access, reuse and preservation of data.

This course is designed to address present and future data management needs.

When describing the process for creating derived data products, the following information should be included in the data documentation or the companion metadata file.

When searching for data, whether locally on one’s machine or in external repositories, one may use a variety of search terms. In addition, data are often housed in databases or clearinghouses where a query is required in order access data. In order to reproduce the search results and obtain similar, if not the same results, it is necessary to document which terms and queries were used.

Follow the steps below to choose the most appropriate software to meet your needs:
Identify what you want to achieve (discover data, analyze data, write a paper, etc.)
Identify the necessary software features for your project (i.e. functional requirements)
Identify logistics features of the software that are required, such as licensing, cost, time constraints, user expertise, etc. (i.e. non-functional requirements)
Determine what software has been used by others with similar requirements
Ask around (yes, really); find out what people like
Find out what software your institution has licensed
Search the web (e.g. directory services, open source sites, forums)
Follow-up with independent assessment
Generate a list of software candidates
Evaluate the list; iterate back to Step 1 as needed
As feasible, try a few software candidates that seem promising

Outliers may not be the result of actual observations, but rather the result of errors in data collection, data recording, or other parts of the data life cycle. This can be used to identify outliers for closer examination.

Data tables should ideally include values that were acquired in a consistent fashion. However, sometimes instruments fail and gaps appear in the records.

Data should not be entered with higher precision than they were collected in.

Understand the input geospatial data parameters, including scale, map projection, geographic datum, and resolution, when integrating data from multiple sources. Care should be taken to ensure that the geospatial parameters of the source datasets can be legitimately combined.

This series looks at the Oxford Martin School's academics and how their research is making a difference to our global future. The series will be of interest to people who are concerned about the future for the planet, how civilisation will adapt to emerging problems and issues such as climate change, over population, increased urbanisation of populations and the creation of vaccines to fight against future pandemics. The Oxford Martin School academics explain their various research topics in an accessible and thoughtful way and try to find practical solutions to these issues.

Digital literacy is more than finding articles or being able to use Powerpoint - it's a flexible engagement within the digital world. This workshop uses poetry as an engagement lens on mindsets, learning, creativity and literacies. Developed as part of CAUL's Digital Dexterity launch program in 2019, this blackout poetry resource provides you with workshop slides, workshop plan and an instructional handout. 

This course will help students in a university setting to prepare for projects with a problem-based learning approach in an international environment. It will support you to define your role as a student, give guidance for being a member of an international group of students, as well as for working on a research project or with companies. This version of the course is intended for students, but also for teachers who can use the materials fully or partly in their courses. This is also why most of the materials are available for download in editable formats. The course is developed as part of the Erasmus+ project EPIC.

This book is used in Reach Higher, Oklahoma's adult degree completion program, for a course called Data Analysis & Interpretation. It provides basic statistics that can be used for organizational data analysis by individuals with managerial professional goals, while also teaching essential skills from Microsoft Excel commonly needed for data analysis. This book uses material from Lumen Learning's Boundless Statistics (Boundless Learning) and Excel for Decision Making from University of Houston Libraries (multiple authors).

The book presents a coherent theory of building information, focusing on its representation and management in the digital era. It addresses issues such as the information explosion and the structure of analogue building representations to propose a parsimonious approach to the deployment and utilization of symbolic digital technologies like BIM.

This module covers the creation, execution and deployment of an ETL project using the SQL Server Integration Services (SSIS). Several examples were provided to show how data from different sources can be Extracted from the source, Transformed into meaningful forms and Loaded to the data warehouse.

These slides were used for a  CAUL OER Collective Library Staff Community of Practice discussion on faciliating peer review in the publication of open textbooks. 

This module takes a look at the advantages of OER and the Creative Commons for both instructors and their learners. Both instructors and learners can enjoy using OER as well as creating it for use by others!

Creative Commons is an open license that actually works with Copyright with a slant to copyleft.

Students learn how make phylogenetic trees from morphological data using a variety of candy. Techniques and concepts learned include outgroup analysis, making a character matrix, coding characters, parsimony, building phylogenetic trees, monophyly, polytomy, synapomorphy, and why scientists can get wildly different trees with the same taxa.

Maps capture the power of place. A well-designed map can stoke our imagination, helping us to understand how a place looks or feels. Maps serve two roles. First, maps facilitate visual communication where knowns are presented to map readers. Second, maps permit visual thinking where insights into patterns and trends in spatial data are explored. In GEOG 486, Cartography & Visualization, you will learn and apply cartographic theory creating appropriately designed maps. You will learn how to associate the visual variables to symbolize types of spatial data. This process creates an appropriate visual hierarchy that conveys an informational hierarchy about the underlying message. Thus, techniques in map design will be applied to produce, evaluate, and critique reference and thematic maps.