This document was adapted from the R-Ladies RoCur Guide.
The ASA Committee on Women in Statistics RoCur (Rotating Curation) is a twitter handle that will feature an awesome member of our community in statistics or data science each week. This account is run by the Committee on Women in Statistics.
- To encourage and maintain Twitter engagement within the Women in Statistics and Data Science community.
- To spotlight female and minority genders (including but not limited to cis/trans women, trans men, non-binary, genderqueer, agender) and their great work in statistics and data science.
- Curatorship begins each Monday at 7:00 AM ET and ends the following Saturday at 12:00 PM ET.
- For the duration of the curatorship, the profile photo will be a photo of the curator. This is updated by the RoCur administrator.
- The personal twitter handle of the curator will be in the bio (if applicable, you do not need to be a twitter user prior to curating).
- Your first post should introduce yourself to the account followers. Your first tweet should tell the audience: what you do (your job, hobbies, etc.), and what you do in statistics / data science. You may want to pin this tweet so it stays at the top of the feed throughout the week.
- Tweet throughout the week! We do not require that you tweet a specific number of times. But, we ask that you be as active as your schedule allows during your curatorship.
- Every Sunday, the administrator will update access of the account for the next curator via Tweetdeck.
By signing on to be a curator of @WomeninStat you agree to the following:
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Abide by ASA Community Code of Conduct in all activity and interactions you have on the @WomeninStat account.
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Be the sole tweeter of @WomeninStat for the week that you are assigned.
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Don’t change the photo, biography, background or theme of the @WomeninStat account, unless expressly directed to do so (e.g. changing the profile photo at the start of your week).
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Provide a profile photo which may be used during your week, and some background information on yourself, including research and interests, to be featured on the @Womeninstat account.
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All content posted during your week is your responsibility. That said, the @WomeninStat administrators will take action if your posts contain racism, sexism, homophobia, etc.
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Refrain from using obscene or abusive language.
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Please use inclusive language when addressing your twitter audience. Please consider using all, everybody, y'all, folks or anything similar as not everybody part of the Women in Statistics community identifies as female.
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Don’t actively promote or advertise any business or receive remuneration from a third party to do so. **Please see our section on Promotional Tweeting for more information on this.
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After your assigned week, remove access to @WomeninStat from any applications to which you may have granted access.
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You may not follow, unfollow, or block any other twitter users from the account. Additionally, you may not interact with individuals via direct messages.
In the event that you receive abuse while contributing, please do block the offender if you feel it necessary. If this does occur, please send the administrators an email asacowis@gmail.com noting the offender’s Twitter handle and a description of the offense.
Please follow the Twitter terms of service The administrators of @WomeninStat reserve the right to warn or revoke the access of anyone who violates Twitter’s terms of service or breaches any of the above rules.
Start your curatorship by introducing yourself, what you do (your job, hobbies, etc.), and what you do in statistics / data science.
Suggestions on how to introduce yourself:
- Share a URL to your website or github or etc.
- If your photo on the account differs from the photo on your personal twitter account, post the photo of your personal twitter account.
- We do not require that you tweet a specific number of times. But, we ask that you be as active as your schedule allows during your curatorship. At least one tweet-thread per day would be ideal - tweets can be scheduled in advance through TweetDeck to help with timing.
- The content of your tweets is all up to you! But keep it relevant to statistics and/or data science. Make the account and its tweets useful for learning.
- Tweet pictures/graphics whenever possible.
- Please properly attribute your photos and graphics by asking permission from the source if not you and tagging the individual if able.
- Tag individuals who are in the photos if able.
- Use hashtags! (See below, Tweeting about stats/data science, for more information on this)
- Add emojis and gifs when appropriate 😄
- Have Fun!
- Share relevant articles, blog posts, etc. relevant to your work or interests in statistics/data science.
- Tell us something you just learned about statistics/data science.
- Tell followers about a current statistics/data science project you are doing (share a line of code or dataviz, link to a package you use a lot).
- If you are part of an ASA Chapter, highlight a project your local chapter is working on.
- When mentioning an R package, add a link to its CRAN/BioConductor/GitHub page.
- If possible, tag the Twitter account of the maintainer if this person isn’t too famous yet (e.g. no need to link and tag Hadley Wickham when mentioning ggplot2).
- Same goes for courses, books, and etc.
- Use hashtags whenever possible.
- Use the hashtag #WSDS whenever possible and relevant.
- Use the #statstwitter hashtag when you share something that can be useful for the greater stats/data science community
- Some other hashtag examples: #dataviz, #rstats, #opendata
- You can also hashtag: conferences, the location of your local chapter, etc.
One goal of @WomeninStat is to maintain a strong community on Twitter! Therefore, please respond to people who interact with the account.
If someone asks a question, we suggest re-tweeting their question with your response as a comment so that others can see the original question.
Other suggestions for interacting with your audience:
- Ask a question about something you are having trouble with in statistics / data science (our community is all about helping and supporting each other).
- Ask for recommendations on for a project you are working on.
- Create a twitter poll for followers to respond to. Please note: You cannot create a twitter poll in Tweetdeck. We recommend creating a poll on your personal account and retweeting it via @WomeninStat.
It is not permitted to promote companies and/or businesses through @WomeninStat.
On this account, promoting a company, business, or service is broadly defined as any instance where any entity receives financial benefit from the twitter post. This includes:
- If you, the curator, receives remuneration for posting about a specific company, business, or service (including referral links).
- If an organization, company, or individual receives profit from individuals using their service (i.e. users would have to pay for the service).
- If the post actively solicits followers to partake in services where an entity receives financial benefit.
Examples of promotional tweets that are not allowed include:
- “Buy this book about XYZ in R!”
- “Here is an online course that might be useful”
We encourage @WomeninStat curators to share free, openly-available resources to our audience and share personal experiences about using specific resources without promoting or soliciting on behalf of any particular company, business or service. This includes:
- Discussing an open source package that you use and why it’s helpful.
- Discussing what you use R for at your job.
- Sharing free, openly-available resources that you used to learn R and explaining what you liked and disliked about this resource.
Examples include:
- “As my job at [company name], I do/learn/use XYZ in R”
- “An awesome package I use for XYZ in R is [package name]. [function name] is especially useful for ABC (includes example)”
- “My first introduction to XYZ was this blog post: URL”