Webinar

This webinar introduced users to the new MCS6 (Age 14) time use diary and accelerometry data deposit. The recording and slides from this webinar are available to view on this page.

About the webinar

As part of the MCS6 (age 14) survey, cohort members were asked to wear an activity monitor and to complete time use diaries. These data, newly available to download from the UK Data Service, offer unique and detailed insights into patterns of daily activity amongst 14-year olds in the UK today, and are an unparalleled resource for a variety of research questions. This webinar focused on the collection, content and structure of these newly-available data.   

The webinar is valuable to those who

  • Are interested in using data from the activity monitors and time use diaries
  • Would like a brief update on the MCS and what’s ahead
  • Have specific questions about the MCS

The timings and areas covered are outlined below:

14:00 – 14:35 Brief introduction, including update on MCS6 data (Dr Emily Gilbert, Survey Manager)

Collection and content of:

  • Activity monitors
  • Time use diaries
  • Q&A

14:35 – 15:00 Data structure and handling (Vilma Agalioti-Sgompou, Data Manager)

  • MCS6 data format and guidance
  • Activity monitor data and merge
  • Time use diary data, restructure and merge
  • Update on MCS data deposits
  • Q&A

15:00 – 15:10 A look ahead (Dr Vanessa Moulton, Research Associate)

  • Update on MCS7, overview, progress and timelines
  • Q&A

Watch the webinar

Webinar resources

Webinar slides

 

Speakers

Vilma Agalioti-Sgompou Senior Research Data Manager/Engineer

Phone: 020 7911 5311
Email: v.agalioti-sgompou@ucl.ac.uk

Vilma has been a member of the CLS Research Data Team since 2015. She is responsible for the curation and management of the National Child Development Study (NCDS) and the Early Life Cohort – Feasibility Study (ELC-FS). Previously she managed the Millennium Cohort Study (MCS).

Vilma is the team’s technical lead and primarily works on the team’s software development (Python) for data and database management (PostgreSQL), especially automating and standardising processes across the CLS cohort studies. She also has line management duties.

Before joining CLS, Vilma worked on a variety of population-wide surveys. She has a PhD in Survey Methodology from the University of Essex and has taught programming (R, Python, SQL), survey design and statistical analysis.

Vanessa Moulton Senior Research Fellow

Full UCL profile

Phone: 020 7612 6288
Email: vanessa.moulton@ucl.ac.uk

Vanessa is a psychologist, with a strong interest in multidisciplinary social science. Her research interests include using longitudinal and secondary data analysis to examine the influence of the earlier life course on children’s and adult mental health, cognitive, educational and socio-economic outcomes. In addition, Vanessa co-coordinates the CLS cohort training workshops and webinars.