Please take this as a final opportunity to do review/suggest
changes/etc. to the Amendments section of the draft Code of Conduct.
This text has been up for a while, but I recently put in a small
proposed change to make it harder for the Committee to veto amendments.
This is the last section. After it's approved, the Code of Conduct will
become policy, and the Amendments section will specify how future
changes to the policy work.
* Current text:
https://www.mediawiki.org/w/index.php?title=Code_of_Conduct/Draft&oldid=238…
(under "Page: Code of Conduct/Amendments")
* Discussion:
https://www.mediawiki.org/wiki/Talk:Code_of_Conduct/Draft#New_proposal_for_…
The approval discussion hasn't started yet. It will be next and I will
send out a separate email.
Thanks,
Matt Flaschen
P.S. You can still participate in deciding whether to approve "Creation
and renewal of the Committee" at
https://www.mediawiki.org/wiki/Talk:Code_of_Conduct/Draft#Finalize_.22Creat…
.
Hi everybody,
as FYI we are currently tracking some issues between Hadoop worker nodes
and the AQS Cassandra cluster in https://phabricator.wikimedia.org/T157533
This means that the last Pageview data will be loaded with a bit of delay.
We expect to solve the issue during the next couple of hours, but please
check the Phabricator task for more up to date info later on.
For any query, feel free to reach out to us on the #wikimedia-analytics IRC
Freenode channel.
Thanks!
Luca
Forwarding.
Pine
---------- Forwarded message ----------
From: Léa Lacroix <lea.lacroix(a)wikimedia.de>
Date: Tue, Feb 7, 2017 at 2:45 AM
Subject: [Wikidata] WMDE looking for a data analyst
To: "Discussion list for the Wikidata project." <
wikidata(a)lists.wikimedia.org>
Hello all,
Our development team is looking for a data analyst, in freelance, remotely,
to work mostly on Wikidata.
The person will:
- Work closely with product managers and UX researchers to maintain and
improve detailed on-going analysis of the department’s products, their
usage patterns and performance.
- Write database queries and supporting code to analyze usage volume,
user behaviour and performance data to identify opportunities and areas for
improvement.
- Collaborate with other analysts in the department to maintain our
department’s dashboards, ensuring they are up-to-date, accurate, fair and
focussed on representations of our product efficiency.
- Support product managers through rapidly surfacing positive and
adverse data trends, and complete ad hoc analysis support as needed.
- Communicate clearly and responsively your findings to a range of
departmental, organisational, volunteer and public stakeholders in order to
inform and educate them.
If you want to know more and apply: https://software.wikimedia.de/
jobs/data-analyst
See also our other job offers: https://software.wikimedia.de/jobs
--
Léa Lacroix
Project Manager Community Communication for Wikidata
Wikimedia Deutschland e.V.
Tempelhofer Ufer 23-24
10963 Berlin
www.wikimedia.de
Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter
der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das Finanzamt für
Körperschaften I Berlin, Steuernummer 27/029/42207.
_______________________________________________
Wikidata mailing list
Wikidata(a)lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wikidata
Hello Analytics,
It seems to easily happen that a well meant metrics is proposed, but that
this is actually not sure to be correlated with something value or (at
least with my skills) super hard to measure technically [1].
So I wanted to create some easy-to-graspmaterials, maybe to put them on a
poster or in a video… whatever.
Sadly I found a lot of warnings about "vanity metrics" online (recommending
$ made instead) but no framework, research or case studies on
organizational impact and understanding of metrics and how colleagues can
be helped to be empowered to do a basic evaluation of metrics.
*So you have any framework, research or case studies that could help us to
teach and empower to evaluate** metrics and their use?*
Here is what I found useful so far:
- https://en.wikipedia.org/wiki/DIKW_pyramid and similar frameworks like
https://randomblatherdotcom.files.wordpress.com/2014/04/bmust7rcuaa6ueo-jpg…
- For the need of organizational sensemaking: Weick, Sensemaking in
Organizations
- And, not directly related but providing some inspiration: Robust methods
and visualizations by Tuckey, decision making under uncertainty by
Gingerenzer.
Jan
[1] In which case I prefer no metric at all, and investing into qualitative
research instead, till the problem space is better understood, but if
metrics are already there it often stays…
--
Jan Dittrich
UX Design/ User Research
Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0)30 219 158 26-0
http://wikimedia.de
Imagine a world, in which every single human being can freely share in the
sum of all knowledge. That‘s our commitment.
Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter
der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für
Körperschaften I Berlin, Steuernummer 27/029/42207.
Hello Analytics,
I read "Hiring a data scientist" (
https://blog.wikimedia.org/2017/02/02/hiring-data-scientist/) recently and
it gave us a lot of useful insights into our (WMDEs) process of hiring a
Data Analyst.
I stumbled upon the Bootstrap question and was reminded that I should
extend my knowledge there; I read about the theory behind but I never used
it in practice, so I wondered if one of you has some examples to share
where you used bootstrapping in your work (Ideally in a iPython or
RMarkdown notebook, which usefulness was also highlighted in the Job post
:-) )
Jan
--
Jan Dittrich
UX Design/ User Research
Wikimedia Deutschland e.V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0)30 219 158 26-0
http://wikimedia.de
Imagine a world, in which every single human being can freely share in the
sum of all knowledge. That‘s our commitment.
Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter
der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für
Körperschaften I Berlin, Steuernummer 27/029/42207.
Hello volunteer developers & technical contributors!
The Wikimedia Foundation is asking for your feedback in a survey. We want
to know how well we are supporting your contributions on and off wiki, and
how we can change or improve things in the future.[1] The opinions you
share will
directly affect the current and future work of the Wikimedia Foundation.
*** The survey will close on February 15, 2017. ***
To say thank you for your time, we are giving away 10 Wikimedia T-shirts to
randomly selected people who take the survey.[2] The survey is available in
various languages and will take between 20 and 40 minutes.
Use this link to take the survey now:
https://wikimedia.qualtrics.com/SE/?SID=SV_6mTVlPf6O06r3mt&Aud=DEV&Src=DEV
You can find more information about this project here[3]. This survey is
hosted by a third-party service and governed by this privacy statement[4].
Please visit our frequently asked questions page to find more information
about this survey[5]. If you need additional help or have questions about
this survey, send an email to surveys(a)wikimedia.org.
Thank you!
Edward Galvez
Community Engagement
Wikimedia Foundation
[1] This survey is primarily meant to get feedback on the Wikimedia
Foundation's current work, not long-term strategy.
[2]Legal information we have to share: No purchase necessary. Must be the
age of majority to participate. Sponsored by the Wikimedia Foundation
located at 149 New Montgomery, San Francisco, CA, USA, 94105. Ends February
16, 2017. Void where prohibited. Follow this link for the contest rules:
https://meta.wikimedia.org/wiki/Community_Engagement_Insights/2017_second_c…
[3] About this survey:
https://meta.wikimedia.org/wiki/Community_Engagement_Insight
s/About_CE_Insights
[4] Privacy statement: https://wikimediafoundation.or
g/wiki/Community_Engagement_Insights_2016_Survey_Privacy_Statement
[5] FAQ:
https://meta.wikimedia.org/wiki/Community_Engagement_Insight
s/Frequently_asked_questions
--
Edward Galvez
Evaluation Strategist (Survey Specialist), and
Affiliations Committee Liaison
Learning & Evaluation
Community Engagement
Wikimedia Foundation
