Check out the new Research Data Management Toolkit from Jisc in the UK. While it is primarily UK focused, there are general guides, reports, and tools for non-UK researchers.
Friday, August 3, 2018
Tuesday, July 24, 2018
Thursday, July 19, 2018
Wednesday, April 11, 2018
From ICPSR. This free workshop is in Arlington, VA this summer.
Join us for a free data workshop sponsored by Child Care & Early Education Research Connections to explore the Head Start Family and Child Experience Survey (FACES) 2014 data! FACES 2014 project leads from Mathematica Policy Research will instruct this one-day data training at the National Research Conference on Early Childhood
on . Researchers will be introduced to the study’s purposes, new design, instruments, and data structure. The training will also focus on analyses of FACES data over time, including methodological, measurement, and analytic considerations.
The workshop is free! Space is limited and you must be registered for the NRCEC to apply. Researchers interested in using FACES data to answer policy relevant questions in early care and education are encouraged to apply. Be sure to include your key research interest topics along with any previous experience working with FACES data when applying.
Friday, February 16, 2018
The ICPSR Summer Program would like to announce the following workshop, sponsored by the Panel Study of Income Dynamics:
PSID Data User Training Workshop
This five-day workshop will orient participants to the content and structure of the Panel Study of Income Dynamics, its special topics modules, and the PSID Child Development Supplement and PSID Transition into Adulthood Supplement. The workshop pairs morning instructional sessions led by experienced PSID researchers and staff with afternoon guided lab sessions in which users construct their own analytic data files.
Admitted graduate students, post-doctoral scholars, and junior faculty or researchers may request to be considered for a stipend to help with travel and housing costs. All applications received by will be given priority for enrollment.
Support is provided by the Eunice Kennedy Shriver National Institute on Child Health and Human Development.
For more information, contact the ICPSR Summer Program at email@example.com or (734) 763-7400.
Wednesday, February 7, 2018
2018 ICPSR Summer Program in Quantitative Methods of Social Research
The ICPSR Summer Program provides basic and advanced instruction across a wide range of methodologies and techniques for research in the social, behavioral, and health sciences. Our courses emphasize the integration of methodological strategies with the theoretical and practical concerns that arise in research on substantive issues.
In 2018, the ICPSR Summer Program is offering more than 80 courses in Ann Arbor, Michigan, and other cities across the US, Canada, and Europe. To view our full schedule and register, visit www.icpsr.umich.edu/sumprog
An immersive learning experience unlike anything else, our four-week sessions allow you to focus on developing new methodological tools while building a community of friends, collaborators, mentors, and future colleagues. Our four-week courses cover introductory, intermediary, and advanced instruction in almost every area of methodology. Our four-week sessions also feature supplemental lectures and talks on important professional topics, such as data reproducibility, research transparency, and methodological issues related to the study of race, ethnicity, and gender. Our four-week sessions take place in Ann Arbor, Michigan; in 2018, the First Session runs from , and the Second Session runs from .
For those wanting to learn a specific methodological technique in just a few days, the ICPSR Summer Program will offer more than 40 short workshops from May through August in Ann Arbor, Michigan, and other cities around the world. The 2018 short workshop schedule includes a wide range of courses, from introductory-level material to advanced, cutting-edge statistical techniques, as well as workshops on strategies for reproducing research results, machine learning, qualitative research methods, and the R statistical computing environment.
ICPSR scholarships provide a registration fee waiver for the Summer Program’s four-week sessions. The application deadline for all 2018 ICPSR scholarships is .
Monday, February 5, 2018
Kaggle has released its industry-wide survey of the state of data science and machine learning. Check out their report and download the data.
- While Python may be the most commonly used tool overall, more Statisticians report using R.
- On average, data scientists are around 30 years old, but this value varies between countries. For instance, the average respondent from India was about 9 years younger than the average respondent from Australia.
- The highest percentage of our respondents obtained a Master’s degree, but those in the highest salary ranges ($150K+) are slightly more likely to have a doctoral degree.