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#datasharing

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DiTraRe

Join us for the kick-off of the new series: Interdisciplinary Colloquium on Digitalisation of Research! Held monthly in a hybrid format, each session will be hosted at a different institute. For the kick-off meeting our special guest will be Sonja Schimmler! Make sure to register for the event

Registration: ditrare.de/en/colloquium/regis

#digitalisation @KIT_Karlsruhe @ITAS @Feelix @AnnaJacyszyn @sourisnumerique @NFDI4DS @lysander07 #researchdata #openscience #colloquium #datasharing @fiz_karlsruhe

Miguel Afonso Caetano

"While Bill C-2 does not explicitly state that it is paving the way for new and expanded data-sharing with the United States or other countries, the legislation contains references to the potential for “agreement[s] or arrangement[s]” with a foreign state, and references elsewhere the potential that persons in Canada may become compelled by the laws of a foreign state to disclose information.2 Other data and surveillance powers in Bill C-2 read like they could have been drafted by U.S. officials.

Furthermore, in response to questions at a technical briefing on Bill C-2 by Justice Canada on June 9, 2025, Justice Canada officials acknowledged to the persons present at the briefing that the intent of certain provisions within Bill C-2 is to enable Canada to implement and ratify a new data-sharing treaty, publicly known as the “Second Additional Protocol” to the Budapest Convention (“2AP”). The briefing acknowledged that other cross-border “cooperation” tools were foreseeable.

The federal government’s quiet acknowledgement that new provisions in Bill C-2 are being introduced to implement the 2AP treaty raises broader questions about the full extent of Bill C-2’s impacts as it concerns data-sharing with U.S. law enforcement authorities."

citizenlab.ca/2025/06/a-prelim

bill c-2
The Citizen Lab · Unspoken Implications: A Preliminary Analysis of Bill C-2 and Canada’s Potential Data-Sharing Obligations Towards the United States and Other Countries - The Citizen LabOur preliminary analysis of Bill C-2 situates the legislation within the context of existing research by the Citizen Lab about two potential data-sharing treaties that are most relevant to the new proposed powers being introduced in Bill C-2: the Second Additional Protocol to the Budapest Convention (2AP) and the CLOUD Act. Both of which carry significant constitutional and human rights risks.
#Canada#DataSharing#USA
Deborah Thorpe

If you are around (or could be around) The Hague on 8 May, you may be interested in this workshop that explores the CARE Principles in relation to fieldwork and participatory research contexts:

Explore how the #CAREPrinciples — Collective Benefit, Authority to Control, Responsibility, and Ethics—can inform ethical data governance and sharing within fieldwork and participatory research contexts. We will feature lightning presentations and interactive discussions to explore how current ethics and data management practices at Dutch universities already support the CARE principles and identify barriers to their implementation.

🔸 Learn to balance community engagement with research objectives.
🔸 Exchange insights and experiences with fellow researchers.
🔸 Contribute to shaping ethical data governance and sharing practices.

Registration is free but spaces are limited! Registration link: dans.knaw.nl/en/agenda/the-eth

DANSThe Ethics of Sharing Fieldwork Data and the CARE Principles - DANS
#DataSharing#FAIR#SocialSciences
PrivacyDigest

#California passes landmark bill requiring easier data sharing opt outs for consumers

California legislators on Wednesday passed a bill which requires internet browsers and mobile operating systems to allow consumers to easily opt out from the sharing and selling of their private data with websites which use it for #targeted #advertising.
#privacy #optout #datasharing

therecord.media/california-lan

therecord.mediaCalifornia passes landmark bill requiring easier data sharing opt outs for consumersCalifornia legislators on Wednesday passed a bill which requires internet browsers and mobile operating systems to allow consumers to easily opt out from the sharing and selling of their private data with websites which use it for targeted advertising.
C.

From Uber's privacy/etc legal terms[1] (in Canada, at least):

> Data Sharing and Tracking: Users may choose *here* whether Uber may share their data with third parties,
> or collect data regarding their visits and actions on third-party apps or websites, for purposes of personalized
> ads.

"here" is underlined. Unlike other "heres" in the document, this one is not actually a link.

Well done, #Uber.

[1] uber.com/legal/en/document/?na

www.uber.comLegal | UberUber Terms and Policies
#privacy#DarkPattern#terms
Sebastian Karcher

McGill University organized a great workshop series on #de-identifying #researchData -- 2 events on quant, 2 events on qual, each with one foundational workshop and one tool-oriented one. I presented the foundational qual one (WS3), but all worth checking out. All slides and recordings (incl. French translation) available mcgill.ca/drs/training #dataSharing #dataLibs

Digital Research Services HubTrainingResearch Data Management Research Software Advanced Research Computing Upcoming Events Research Data Management McGill Library The McGill Library provides year-round workshops and webinars on a variety of topics like writing data management plans, how to make research data open, as well as introductory and advanced research data management. For a list of upcoming workshops, please visit the McGill Library RDM Guide. McGill RDM Learning Program in MyCourses The McGill Research Data Management (RDM) Learning Program is designed to build knowledge and skills to meet researcher’s RDM needs during their day-to-day research activities. For McGill users, click here to self enrol using McGill emails. For users from McGill affiliated hospitals without a McGill email, please click here to register and specify your affiliated hospital during registration. For external/community users, please contact DRS at drs[at]mcgill[dot]ca for your registration. McGill Data Anonymization Workshop Series 2023 This workshop series aims to upskill researchers with both theoretical and practical knowledge in data anonymization and de-identification of sensitive data to promote and facilitate data deposit and data sharing best practices. Quantitative Data Workshops Workshop 1 - Reducing risk: An introduction to data anonymization Recordings (English & Français) presentation Workshop 2 - ARX: Anonymising data in theory and practice Recordings (English & Français) presentation Qualitative Data Workshops Workshop 3 - Ethically sharing qualitative data Recordings (English & Français) presentation Workshop 4 - Qualitative data sharing: A roadmap and resources to facilitate responsible and ethical data sharing Recordings (English & Français) presentation Research Data Anonymization FAQ [coming soon ...] Research Software McGill University McGill ITS offers courses, self serve videos and lunchtime learning on practical software topics such as IT security, surveys and forms, web publishing, OneDrive and collaboration with Office 365. The McGill Library also offers introductory data analysis workshops in Python and R. Please check the Library's Digital Scholarship Hub schedule of workshops and events for more information. In addition, all McGill staff members have access to the LinkedIn Learning program, which offers hundreds of video courses, which you can do at your own pace, on an extensive array of software development, programming languages and other IT topics. Calcul Québec Calcul Québec analysts offer a range of courses on research software development. You will find introductory programming workshops on Python, OpenMP and MPI, GPU libraries, code version control with Git, data analysis with Python and big data analysis with Spark. Please see the full list and schedule of available Calcul Québec courses. Other McGill Initiatives Many units and initiatives offer workshops on a broad range of topics, please refer to the list below to see what is currently available. The Faculty of Science's Computational and Data Systems Initiative (CDSI) offers workshops on topics related to advanced statistical methods, coding and programming languages, high performance computing, machine learning and general data science. The McGill initiative in Computational Medicine (MiCM) offers yearly workshop series focused on life sciences aspects. McGill's Geographic Information Centre (GIC) offers workshops related to geospatial data science, including training on topics such as data analysis in R, Python, QGIS, ArcMap, working with LiDAR data, and more. For more information, please visit the GIC's workshop registration page. Advanced Research Computing The full list of ARC-related the training sessions and workshops is available on the Calcul Québec training section of their website. Our analysts conduct training sessions and host conference lunches on many key topics ranging from first steps on high performance computing servers, data analysis to parallel programming. Upcoming Events Visit our events page for information about upcoming workshops, research drop-in sessions, and other events hosted by the DRS and VPRI.
Stephen Matheson🌵🌲

“Open” doesn’t mean simply “available.” Just like Open Access research articles, truly Open Datasets are accessible, shareable, and reusable without restriction. But, importantly, Open is just a type of license. Data sharing doesn’t work in practice unless datasets also meet accepted standards for findability, accessibility, interoperability, and reusability—better known as FAIR.

--from theplosblog.plos.org/2023/06/h

#OpenScience
#opendata
#openaccess
#datasharing

The Official PLOS BlogI dream of data: How to prepare and share research data to meet increasing institutional, funder, and journal requirements - The Official PLOS BlogData sharing has long been a hallmark of high-quality reproducible research. Now, Open Data is becoming the norm, an increasingly expected component of the publication process, encouraged and rewarded by top institutions and major funders. PLOS’ pioneering data policy helps researchers share data in an ethical way that supports reproducibility while honoring privacy. Learn how you can prepare to meet new and increasing data-sharing requirements with ease, and how we can help.
Sebastian Karcher

Big day for the US-based #OpenScience , #dataSharing #openAccess crowd: NSF released its new policies today: nsf-gov-resources.nsf.gov/2023 (ht @petersuber ). Here's a quick thread on the #researchData component of it.
The tldr:
- New policy starting 2025
- All data underlying pubs must be shared
- DMPs are now DMSPs as for NIH
- Focus on sharing via domain repositories if possible
- They'll look into better compliance monitoring
1/n

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