IMC training interests survey results 2017

The expansion of the LTER Network with new sites has contributed to a renewed focus on the skills and knowledge that an LTER Information Manager must possess to address the informatics needs of an LTER site. The IM Skillset and Training Resources Group was tasked to identify these critical areas of expertise, and to recommend appropriate training resources to help ensure that new Information Managers have the skills that they need. At the same time, the working group recognized that current Information Managers may be interested to acquire new skills in light of evolving technology, or to introduce new or improved tools or procedures into the information management system at their site. To help identify and work toward developing training that would be most beneficial to the community should opportunities arise, the working group distributed a web-based survey to LTER Information Managers in March 2017 in which respondents were asked to rate topical areas where they would be interested to receive training. Highlights from the survey are detailed on this page, and results of the complete survey are included as an attachment.

Figure 1. Results from the first and overarching question of the survey in which respondents were asked to select up to four technology areas where they feel more training would be beneficial to their job.

The most popular topical areas included the PASTA API (n=10), R for data managers (n=10), automating QA/QC (n=7), and web technologies (n=7).

The use of stylesheets to translate XML (n=5) and web services (n=8) were the most popular choices of more focused implementations of the PASTA API. Using cURL in (n=4) and out (n=3) of scripting languages (e.g., Python) were the most selected options when drilling down to specific web services.

Among respondents interested in automating QA/QC, R, Python, and SQL were the most popular choices in a follow-up question regarding tools of interest.

Web application programming (n=5) and web-based data visualization (n=6) were the most selected specific options of the web technologies topical area. Respondents noted that Javascript and PHP would be the most beneficial tools to address web application programming, while Shiny, Plotly, Chart.js, and dygraphs were among the most favored tools for web-based data visualization.

AttachmentSize
IM-training-survey-final.txt6.95 KB