You may opt out of these data use situations by emailing analyticspolicy@netgear.com.

All of the information above that has been consented to, can be used by NetGear to make money off consenting individuals and their families.

This gives Netgear permission to know what you plug into your computer, be it a FitBit, a printer, scanner, microphone, headphones, webcam — anything not attached to your computer.

There's an interesting dichotomy between streaming information and batched data here, but it isn't well delineated and doesn't add much to the discussion as a result. Perhaps distilling it down may help? There's a kernel of something useful here, but it isn't immediately apparent.

Relation to stock and flow or the idea of the garden and the stream?

https://app.idx.us/en-US/services/credit-management

Seems a bit ironic just how much data a credit monitoring wants to help monitor your data on the dark web. So many companies have had data breaches, I can only wonder how long it may be before a company like IDX has a breach of their own databases?

The credit reporting agencies should opt everyone into these sorts of protections automatically given the number of breaches in the past.

And here's the key element for indirect/inferred data. In order for Article 9 to matter, it must also include data that infers SCD.

Second question: If you collect it, can you infer from it?

AI text generator, a boon for bloggers? A test report

While I wanted to investigate AI text generators further, I ended up writing a testreport.. I was quite stunned because the AI ​​text generator turns out to be able to create a fully cohesive and to-the-point article in minutes. Here is the test report.

While you still can, I'd highly encourage you to use TweetDeck's "Export" List function to save plain text lists of the @ names in your... Lists.

https://en.wikipedia.org/wiki/Paper_data_storage

https://en.wikipedia.org/wiki/Punched_card

Link to Beatrice Webb's use of note taking methods as a means of data storage, search, and sort in the early 1900s.

Il problema di questa sezione è derubricare i modelli dati come documentazione. Le ontologie di ontopia (parlo di modelli non tanto di dati come i vocabolari controllati) sono machine-readable. Quindi non è solo una questione di documentare la sintassi o il contenuto del dato. È rendere il modello actionable, ossia leggibile e interpretabile dalle macchine stesse. Io potrei benissimo documentare dei dataset con una bella tabellina in Github o con tante tabelline in un bellissimo PDF (documentazione), ma non è la stessa cosa di rendere disponibile un'ontologia per dei dati. Rendere i modelli parte attiva della gestione del dato (come per le ontologie) significa abilitare l'inferenza che avete richiamato sopra in maniera impropria per me, ma anche utilizzarli per explainable AI e tanti altri usi. Questo è un concetto fondamentale che non può essere trattato così in linee guida nazionali. Dovrebbe anzi avere un capitolo suo dedicato, vista l'importanza anche in ottica data quality "compliance" caratteristica di qualità dello standard ISO/IEC 25012.

Tutta la parte di modellazione dati, anche attraverso il catalogo nazionale delle ontologie e vocabolari controllati, sembra ora in mano a ISTAT, titolare, insieme al Dipartimento di Trasformazione Digitale di schema.gov.it. Qui però sembra AGID abbia il ruolo di definire i vari modelli. Secondo me questo crea confusione. bisognerebbe coordinarsi anche con le altre amministrazioni per capire bene chi fa cosa. AGID al momento di OntoPiA gestisce solo un'infrastruttura fisica.

Non è che fate inferenza perché dereferenziate gli URI. Vi suggerisco di leggere bene le linee guida per l'interoperablità semantica attraverso i linked open data che spiega cosìè l'inferenza (e questa sì fa parte di un processo di arricchimento nel mondo linked open data). L'inferenza è una cosa più complessa che si può fare con ragionatori automatici e query sparql. Si possono dedurre nuove informazioni dati dati esistenti e soprattutto dalle ontologie che sono oggetti machine readable!

I think this question speaks to one of the essential aspects of the data. In my interaction with the datasheet, I mostly focused on the absence of the data, but I think I have missed out on this key puzzle piece to the big picture of why the data is not there. I assumed what was responsible for the non-existence of the information without pondering on possible answers to this one key question. It is indeed crucial to look into the current condition of the item or/and collections including the item. If the artwork is not as much preserved as others, it can mean that more efforts need to be done to save it from lacking more data in the future.

This part is notably helpful for the understanding of differences that separate "metadata" from "data". I was writing a blog post for my weekly assignment. Knowing that data is the representation of the object and metadata describes information the data helps build the definition of the terms in my schema of knowledge. In many cases, metadata even provides resources that either give insights to how the data is collected or/and introduces possible perspectives as to how the data can be seen/utilized in the future. Data can survive without metadata, but metadata won't exist without the data. However, the data that lacks metadata may stay uncracked and ciphered, leading to the data potentially becoming useless in the fundamental and economic growth of human beings.

Companies need to actually have an ethics panel, and discuss what the issues are and what the needs of the public really are. Any ethics board must include a diverse mix of people and experiences. Where possible, companies should look to publish the results of these ethics boards to help encourage public debate and to shape future policy on data use.

Most of us are familiar with data visualization: charts, graphs, maps and animations that represent complex series of numbers. But visualization is not the only way to explain and present data. Some scientists are trying to sonify storms with global weather data. That could be easier to get a sense of interrelated storm dynamics by hearing them.

Non trovo utilità in quanto qui scritto onestamente. Molti più sistemi sono ormai linked open data nativi, quindi oltre al fatto che parlare di linked open data in arricchimento è sbagliato, direi di lasciar perdere questo periodo.

rifraserei in "si basano su diversi standard, tra cui RDF, e spesso usano vocabolari controllati RDF per rappresentare terminologia controllata del dominio applicativo di riferimento"

JSON-LD è una serializzazione RDF nel mondo JSON. Occhio che qui la traduzione in italiano del documento del publications office non è venuta fuori bene (loro dicono data format such as RDF or JSON-LD che sarebbe anche impreciso. RDF è un modello di rappresentazione del dato nel Web. Le serializzazioni RDF sono tipo Ntriple, RDF/Turtle, RDF/XML, JSON-LD). Tra l'altro nell'allegato tecnico sui formati per i dati aperti, testo preso dalla precedente linee guida, JSON-LD è indicato come serializzazione RDF.

Sono open o no?

Qui c'è un problema di fondo proprio concettuale. Il problema è che il paradigma dei Linked Open Data è stato derubricato come arricchimento, che nelle linee guida che si cita qui era solo una fase di un processo generale per la gestione dei dati linked open data. Fare linked open data non vuol solo dire arricchire i dati, ma è possibile gestire un dato fin dalla sua nascita in linked open data nativamente. Questo era lo spirito delle linee guida qui citate. Estrapolando solo una parte avete snaturato un po' tutto. Consiglio di trattare l'argomento com'era trattato nelle precedenti linee guida. Peccato anche che sia sparita la figura della metropolitana che aiutava molto.

Comunque, farei uno sforzo in più, con tutto quello che l'italia ha scritto sui linked open data, per scrivere frasi che non siano proprio paro paro la traduzione in italiano del documento in inglese.

licenze aperte standard. Aggiungere la parola aperte che è fondamentale.

Inside the very specific realm of personal knowledge bases, TiddlyWiki is the killer app when it comes to using blocks and having structured, translatable data behind them.

Imagine having unnecessary and wrong data in your document, you would most likely have to experience the concept of time demarcation -- the reluctance in going through every single row and column to eliminate these "garbage data". Clearly, owning all kinds of data without organizing them feels like stuffing your closet with clothes that you should have donated 5 years ago. It is a time-consuming and soul-destroying process for us. Luckily, in R, we have something in R called "tidyverse" package, which I believe the author talks about in the next paragraph, to make life easier for everyone. I personally use dplyr and ggplot2 when I deal with data cleaning, and they are extremely helpful. WIthout these packages' existence, I have no idea when I will be able to reach the final step of data visualization.

the age of borderless data is ending. What we're seeing is a move to digital sovereignty

Either ironic or maybe not the best advice when suggesting people might choose something like Notion or Evernote which could disappear with your data...

23 GB txt file <--- list of all the existing .com domains

https://www.youtube.com/watch?v=bWkwOefBPZY

Some of the basic outline of this looks like OER (Open Educational Resources) and its "five Rs": Retain, Reuse, Revise, Remix and/or Redistribute content. (To which I've already suggested the sixth: Request update (or revision control).

Some of this is similar to:

The Read Write Web is no longer sufficient. I want the Read Fork Write Merge Web. #osb11 lunch table. #diso #indieweb [Tantek Çelik](http://tantek.com/2011/174/t1/read-fork-write-merge-web-osb110

Idea of collections of learning as collections or "playlists" or "readlists". Similar to the old tool Readlist which bundled articles into books relatively easily. See also: https://boffosocko.com/2022/03/26/indieweb-readlists-tools-and-brainstorming/

Use of Wiki version histories

Some of this has the form of a Wiki but with smaller nuggets of information (sort of like Tiddlywiki perhaps, which also allows for creating custom orderings of things which had specific URLs for displaying and sharing them.) The Zettelkasten idea has some of this embedded into it. Shared zettelkasten could be an interesting thing.

Data is the new soil. A way to reframe "data is the new oil" but as a part of the commons. This fits well into the gardens and streams metaphor.

Jerry, have you seen Matt Ridley's work on Ideas Have Sex? https://www.ted.com/talks/matt_ridley_when_ideas_have_sex Of course you have: https://app.thebrain.com/brains/3d80058c-14d8-5361-0b61-a061f89baf87/thoughts/3e2c5c75-fc49-0688-f455-6de58e4487f1/attachments/8aab91d4-5fc8-93fe-7850-d6fa828c10a9

I've heard Jerry mention the idea of "crystallization of knowledge" before. How can we concretely link this version with Cesar Hidalgo's work, esp. Why Information Grows.

Cross reference Jerry's Brain: https://app.thebrain.com/brains/3d80058c-14d8-5361-0b61-a061f89baf87/thoughts/4bfe6526-9884-4b6d-9548-23659da7811e/notes

Some draconian Indian data-retention laws are coming.

Oft repeated phrase and one I wouldn't have expected in this article.

Such an effort will require a supporting worldwide digital ecosystem. In the recent past, major evolutionary transitions (MET) (Robin et al, 2021) of our species have been triggered by radical new information systems such as spoken language, and then inscribed language. Something akin to a Major Competitive Transitions (MCT) may be required to accompany a radical transition to a good anthropocene. (See annotation: https://hyp.is/go?url=https%3A%2F%2Fwww.frontiersin.org%2Farticles%2F10.3389%2Ffevo.2021.711556%2Ffull&group=world)

If large data is ingested into a public Indyweb, because Indyweb is naturally a graph database, a salience landscape can be constructed of the hyperthreat and data visualized in its multiple dimensions and scales.

Metaphorically, it can manifest as a hydra with multiple tentacles reach out to multiple scales and dimensions. VR and AR technology can be used to expose the hyperobject and its progression.

The proper hyperthreat is not climate change alone, although that is the most time sensitive dimension of it, but rather the totality of all blowbacks of human progress...the aggregate of all progress traps that have been allowed to grow, through a myopic prioritization of profit over global wellbeing due to the invisibility of the hyperobject, from molehills into mountains.

But, aren't these multifaceted, situated, and values-driven modes also constituted of data? Isn't everything represented by data? Even 'subjective' understanding of the world is articulated as data.

Is there some 'standard' definition of data that I'm not aware of in the context of this domain?

Recommended by Ben Williamson. Purpose: It may have some relevance for the project with Ben around chat bots and interviews, as well as implications for the introduction of portfolios for assessment.

<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>Maria Farrell</span> in What is Ours is Only Ours to Give — Crooked Timber (<time class='dt-published'>05/18/2021 11:28:17</time>)</cite></small>

Owning your audience is key here.

Of course they're encouraging people to do this. Pushing them to the business side is where they're making all the money.

This is a slippery slope problem, but people are certainly capable of taking positions along a broad spectrum here.

The one thing I might worry about--particularly given micro.blog's--size is the relative bus factor of one represented by Manton himself. If something were to happen to him, what recourse has he built into make sure that people could export their data easily and leave the service if the worst were to come to happen? Is that documented somewhere?

Aside from this the service has one of the most reasonable turn-key solutions for domain and data ownership I've seen out there without running all of your own infrastructure.

I'm not sure that this is the problem that micro.blog is trying to solve. It's trying to solve the problem of how to be online as simply and easily as possible without maintaining the overhead of hosting and managing your own website.

As long as one can easily export their data at will and redirect their domain to another host, one should be fine. In some sense micro.blog makes it easier than changing phone carriers, which in most cases will abandon one's text messages without jumping through lots of hoops. .

One step that micro.blog could set up is providing a download dump of all content every six months to a year so that people have it backed up in an accessible fashion. Presently, to my knowledge, one could request this at any time and move when they wished.

An important logical point. Listing what they don't keep isn't as good as saying what they actually do with one's data.

And isn't this what everyone should really be doing anyway so that they own their own work and words?

Own your pedagogy. Send just like anything else out there...

Ownership of the data is important. One could certainly set up their own Hypothes.is server if they liked.

I personally take the data from my own Hypothes.is account and dump it into my local Obsidian.md vault for saving, crosslinking, and further thought.

Governments owning citizens' data directly?? Why not have the government empower citizens to own their own data?

FreeTime mode on the Amazon Kindle will provide you with reading statistics. You can find the raw data as an SQLite file under system > freetime > freetime.db.

https://wildland.io/2021/06/11/introducing-client-v0.1.html

This looks intriguing... A client for abstracting data stores for use anywhere.

Facebook provides some data portability, but makes an odd plea for regulation to make more functionality possible.

Why do this when they could choose to do the right thing? They don't need to be forced and could certainly try to enforce security. It wouldn't be any worse than unveiling the tons of personal data they've managed not to protect in the past.

https://www.somebits.com/weblog/tech/bad/goodreads-lost-all-my-data.html

A clarion call for owning your own data.

I like how Dr. Pacheco-Vega outlines some of his research process here.

Sharing it on Twitter is great, and so is storing a copy on his website. I do worry that it looks like the tweets are embedded via a simple URL method and not done individually, which means that if Twitter goes down or disappears, so does all of his work. Better would be to do a full blockquote embed method, so that if Twitter disappears he's got the text at least. Images would also need to be saved separately.

What are the common pitfalls when choosing a note taking application or platform?

Own your data

Prefer note taking systems that don't rely on a company's long term existence. While Evernote or OneNote have been around for a while, there's nothing to say they'll be around forever or even your entire lifetime. That shiny new startup note taking company may not gain traction in the market and exist in two years. If your notes are trapped inside a company's infrastructure and aren't exportable to another location, you're simply dead in the water. Make sure you have a method to be able to export and own the raw data of your notes.

Test driving many

and not choosing or sticking with one (or even a few)<br /> Don't get stunned into inaction by the number of choices.

Shiny object syndrome

is the situation where people focus all attention on something that is new, current or trendy, yet drop this as soon as something new takes its place.<br /> There will always be new and perhaps interesting note taking applications. Some may look fun and you'll be tempted to try them out and fragment your notes. Don't waste your time unless the benefits are manifestly clear and the pathway to exporting your notes is simple and easy. Otherwise you'll spend all your time importing/exporting and managing your notes and not taking and using them. Paper and pencil has been around for centuries and they work, so at a minimum do this. True innovation in this space is exceedingly rare, and even small affordances like the ability to have [[wikilinks]] and/or bi-directional links may save a few seconds here and there, in the long run these can still be done manually and having a system far exceeds the value of having the best system.

(Relate this to the same effect in the blogosphere of people switching CMSes and software and never actually writing content on their website. The purpose of the tool is using it and not collecting all the tools as a distraction for not using them. Remember which problem you're attempting to solve.)

Future needs and whataboutisms

Surely there will be future innovations in the note taking space or you may find some niche need that your current system doesn't solve. Given the maturity of the space even in a pen and paper world, this will be rare. Don't worry inordinately about the future, imitate what has worked for large numbers of people in the past and move forward from there.

Others? Probably...

We need to think more about the externalities of our data decisions.

This didn't work out too well for them did it?

an interesting neologism to describe something that many want

https://indieweb.org/site-deaths names a large number of others

https://anvaka.github.io/map-of-reddit/

<small><cite class='h-cite via'>ᔥ <span class='p-author h-card'>https://indieweb.social/@elgg/</span> in Platform for Social Apps: "Map of #Reddit https://anvaka.github.io/map-of-r…" - Indieweb.Social (<time class='dt-published'>05/13/2022 13:29:09</time>)</cite></small>

Another value of the data cooperative model might be that each individual might not have time to research and administer possible new data-sharing requests/opportunities, and it would be helpful to entrust that work to a cooperative entity that already has one's trust.

Words of the author of https://krausefx.com//blog/how-i-put-my-whole-life-into-a-single-database

It seems as if excessive personal data tracking is not worth it

https://threadreaderapp.com/thread/1521158984941686791.html

Besançon, L., Peiffer-Smadja, N., Segalas, C., Jiang, H., Masuzzo, P., Smout, C., Billy, E., Deforet, M., & Leyrat, C. (2021). Open science saves lives: Lessons from the COVID-19 pandemic. BMC Medical Research Methodology, 21(1), 117. https://doi.org/10.1186/s12874-021-01304-y

ReconfigBehSci [@SciBeh]. (2021, October 1). @alexdefig against this survey data you might set actual uptake figures in France, various Canadian provinces, and Germany after the introduction of passports [Tweet]. Twitter. https://twitter.com/SciBeh/status/1443955929985159174

ReconfigBehSci [@SciBeh]. (2021, October 1). @alexdefig and I didn’t say we should mandate them. I simply pointed out that when considering the impact of passports on uptake we should probably look at actual uptake in response to actual mandates in addition to survey data, which may or may not translate into action, no? [Tweet]. Twitter. https://twitter.com/SciBeh/status/1443958577173917699

ReconfigBehSci [@SciBeh]. (2021, October 1). @alexdefig so, observational data has weaknesses- so does survey data, but it’s there and we should look at it. On your second point, yes, that is important, we should study that, if we have no data we can’t factor it into decision. Third is separate issue/factor to weigh. [Tweet]. Twitter. https://twitter.com/SciBeh/status/1443960096497627141

bidirectional data flow ?! That's a game changer.

analogue in Rails: content_for

https://github.com/sveltejs/kit/pull/3252/files

Times, T. N. Y. (2020, March 3). Coronavirus in the U.S.: Latest Map and Case Count. The New York Times. https://www.nytimes.com/interactive/2021/us/covid-cases.html

ReconfigBehSci. (2022, January 24). @STWorg @FraserNelson @GrahamMedley no worse- he took Medley’s comment that Sage model the scenarios the government asks them to consider to mean that they basically set out to find the justification for what the government already wanted to do. Complete failure to distinguish between inputs and outputs of a model [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1485625862645075970

Pouria Hadjibagheri [@Pouriaaa]. (2021, July 14). The state of the UK’s statistical system 2020/21 by @StatsRegulation Thank you! 🎊😀🎉 See the report: Https://osr.statisticsauthority.gov.uk/publication/the-state-of-the-uks-statistical-system-2020-21/pages/8/ https://t.co/dEBmVz3oTm [Tweet]. Twitter. https://twitter.com/Pouriaaa/status/1415371346775838725

ReconfigBehSci [@SciBeh]. (2021, November 1). RT @HJWesteneng: Growth advantage and extrapolation of AY.4.2 based on Sanger Institute data in the UK (multilevel multinomial model). Base… [Tweet]. Twitter. https://twitter.com/SciBeh/status/1455467011509731332

Jackie Parchem, MD [@jackie_parchem]. (2021, July 29). @MeadowGood @ACOGPregnancy Some of the docs who stepped up and got vaccinated early when we didn’t have the data we do now. What we all knew: Protecting moms protects babies! All have had their babies by now! @IlanaKrumm @anushkachelliah @gumbo_amando @emergjenncy @JuliaNEM33 https://t.co/h9UJo6h3fQ [Tweet]. Twitter. https://twitter.com/jackie_parchem/status/1420785474499645442

Prof Jeffrey S Morris on Twitter. (n.d.). Twitter. Retrieved April 26, 2022, from https://twitter.com/jsm2334/status/1462573249712304128

Melton, J., & Sinclair, R. (2021). COVID-19 Infection Rates Are Related to Population Rates of Vaccination: A Response to Subramanian and Kumar.

Pfizer and BioNTech Provide Update on Omicron Variant | Pfizer. (n.d.). Retrieved April 22, 2022, from https://www.pfizer.com/news/press-release/press-release-detail/pfizer-and-biontech-provide-update-omicron-variant

Imperial News. ‘“Issue of Inequalities” for Long COVID Patients Needs to Be Addressed | Imperial News | Imperial College London’. Accessed 22 April 2022. https://www.imperial.ac.uk/news/232234/issue-inequalities-long-covid-patients-needs/.

ReconfigBehSci [@SciBeh]. (2021, November 26). RT @macroliter: 👋Hi Journalists! Are you interested in covering the new B.1.1.529 #B11529 variant🦠? Here’s a link to a TABLE with the name… [Tweet]. Twitter. https://twitter.com/SciBeh/status/1464195246175272984

Nick Sawyer, MD, MBA, FACEP [@NickSawyerMD]. (2022, January 3). The anti-vaccine community created a manipulated version of VARES that misrepresents the VAERS data. #disinformationdoctors use this data to falsely claim that vaccines CAUSE bad outcomes, when the relationship is only CORRELATED. Watch this explainer: Https://youtu.be/VMUQSMFGBDo https://t.co/ruRY6E6blB [Tweet]. Twitter. https://twitter.com/NickSawyerMD/status/1477806470192197633

Newsnodes USA COVID-19 Monitor. (n.d.). Retrieved April 20, 2022, from https://newsnodes.com/us

ReconfigBehSci. (2022, February 18). RT @chrischirp: Speaking of which, latest COG UK data shows that BA.2 is dominant already in NI & likely dominant within Scotland & Eng wit… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1494711071839592450