Making corporate social responsibility data available and accessible for other researchers

[marlouramaekers]

Project Lead: @marlouramaekers

Mentor: @diana-pilvar @glado718

Welcome to OLS-8! This issue will be used to track your project and progress during the program. Please use this checklist over the next few weeks as you start Open Life Science program :tada:.

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Week 1: Meet your mentor!

• [x] Meet mentor for 30 minutes
• [x] Create an account on GitHub
• [ ] Check if you have access to the HackMD notes set up for your meetings with your mentor
• [x] Prepare to meet your mentor(s) by completing a short homework provided in your shared notes
• [x] Complete your own copy of the open leadership self-assessment and share it to your mentor If you're a group, each teammate should complete this assessment individually. This is here to help you set your own personal goals during the program. No need to share your results, but be ready to share your thoughts with your mentor.
• [x] Make sure you know when and how you'll be meeting with your mentor.

Before Week 2: Cohort Call (Welcome to Open Life Science!)

• [x] Attend call or catch up via YouTube

• [x] Create an issue on the OLS-8 GitHub repository for your OLS work and share the link to your mentor.

• [x] Draft a brief vision statement using your goals

  This lesson from the Open Leadership Training Series (OLTS) might be helpful

• [x] Leave a comment on this issue with your draft vision statement & be ready to share this on the call

• [ ] Check the Syllabus for notes and connection info for all the cohort calls.

Before Week 3: Meet your mentor!

• [x] Meet mentor
• [x] Look up two other projects and comment on their issues with feedback on their vision statement
• [x] Complete this compare and contrast assignment about current and desired community interactions and value exchanges
• [x] Complete your Open Canvas (instructions, canvas)
• [x] Share a link to your Open Canvas in your GitHub issue
• [x] Start your Roadmap
• [x] Comment on your issue with your draft Roadmap
• [x] Suggest a cohort name at the bottom of the shared notes and vote on your favorite with a +1

Before Week 4: Cohort Call (Tooling and roadmapping for Open projects)

• [x] Attend call or catch up via YouTube
• [ ] Look up two other projects and comment on their issues with feedback on their open canvas.

Week 5 and later

• [x] Meet mentor
• [x] Create a GitHub repository for your project
• [x] Add the link to your repository in your issue
• [x] Use your canvas to start writing a README.md file, or landing page, for your project
• [x] Link to your README in a comment on this issue
• [ ] Add an open license to your repository as a file called LICENSE.md
• [ ] Add a Code of Conduct to your repository as a file called CODE_OF_CONDUCT.md
• [ ] Invite new contributors to into your work!

This issue is here to help you keep track of work as you start Open Life Science program. Please refer to the OLS-4 Syllabus for more detailed weekly notes and assignments past week 4.

Week 6

• [x] Attend call or catch up via YouTube

Week 7

• [x] Meet mentor

Week 8

• [x] Attend call or catch up via YouTube

Week 9

• [x] Meet mentor

Week 10

• [ ] Attend call or catch up via YouTube

Week 11

• [ ] Meet mentor

Week 12

• [ ] Attend call or catch up via YouTube

Week 13

• [ ] Meet mentor

Week 14

• [ ] Attend call or catch up via YouTube

Week 15

• [ ] Meet mentor

[marlouramaekers]

Vision statement Us social scientists collect a lot of data. We run experiments, conduct surveys and do interviews with our participants. Especially when we collect information that can be neatly placed on a scale or divided in categories, sharing data publicly is relatively easy. However, many datasets are never shared.

Our survey data on corporate social responsibility is among them but my colleagues and I want to change that. Therefore, the goal for the coming months is to indeed gather all the data that we have, select a small group of variables, compare questionnaires, measurements and methodology to see if these variables match over the years and then hopefully combine them all in one data set. Additionally, I will create a codebook describing the process and the data. And then we will share it publicly.

With this project, I contribute to a world of open data and I hope to inspire others to do the same. Furthermore, making our data publicly available allows non-researchers to retrace our steps as researchers, hopefully improving trust in academia.

[marlouramaekers]

• Compare & contrast assignment on community interactions
• Open Canvas
• Original roadmap
• Github repository
• README

[virginiagarciaalonso]

Hey @marlouramaekers, great initiative! The need for more open data is definitely crucial to improve academia and society overall. Have you decided in which platform you will design/upload your codebook?

[marlouramaekers]

Thank you @virginiagarciaalonso! Yes, the plan is to upload a pdf version of the codebook (as well as the data) to the Open Science Framework. The centre I work for has its own website so we provide a summary and a link to OSF there as well.

[marlouramaekers]

Open Canvas

If people have ideas for user/contributor channels for this project, let me know!

[marlouramaekers]

My Roadmap can be found here. It is currently on Google Docs but this may change in the future.

[ykho001]

Hi @marlouramaekers, This is a great vision and project for VU Centre for Philanthropic Studies. Openly sharing data and reproducibility are two big issues, and it'll be interesting to see your Codebook when you get to Milestone 4, as well as see how others can work with your data in Milestone 5. Do you foresee your work here being applicable to many others outside VU CPHS (e.g. used/re-mixed for folks in different countries)?

[marlouramaekers]

Hi @ykho001, thank you for your question! From my own experiences, I think the data could be interesting for other researchers to use, also outside of the VU. They contain various concepts that have been deemed important in corporate social responsibility research. So anyone wanting to test assumptions of existing theories may be interested in the data. Regarding the non-academic public, I can imagine journalists being interested in the data. It is not uncommon for our research group to be contacted by journalists about the research we do and the data we collect. I can imagine that these journalists would like to use our data as well.

[BobbWANG]

Hi @marlouramaekers, a very clear vision statement! I'm a also researcher from VU (Experimental and Applied Psychology Department). I'm doing some research on organizational culture and social corporate responsibility is definitely very related to organizational culture. Really looking forward to your data and I will check whether I can use it for my research!

[glado718]

Hi @marlouramaekers happy to be part of this amazing project

[marlouramaekers]

Hi @marlouramaekers, a very clear vision statement! I'm a also researcher from VU (Experimental and Applied Psychology Department). I'm doing some research on organizational culture and social corporate responsibility is definitely very related to organizational culture. Really looking forward to your data and I will check whether I can use it for my research!

@BobbWANG that sounds great! I'll keep you up to date! I'm currently looking into possibilities for a mailing list or another way to keep people updated so might contact you for that later