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dat in Dockray, Forster & Public Office 2018

ions, for example by opening a pull request on this
document or raising an issue on our GitHub repositories.

that crumbles to dust, leather, parchment, film and magnetic light
attacked by light, heat humidity or dust” all assault archives. “Floods,
fires, hurricanes, storms, earthquakes” and, of course, “acts of war,
bombardment and fire, whether deliberate or accidental” wiped out significant
portions of many hundreds of major research libraries worldwide. When
expanding the scope to consider public, private, and community libraries, that
number becomes uncountable.

Published during the early days of the World Wide Web, the report acknowledges
the emerging role of digitization (“online databases, CD-ROM etc.”), but today
we might reflect on the last twenty years, which has also introduced new forms
of loss.

Digital archives and libraries are subject to a number of potential hazards:
technical accidents like disk failures, accidental deletions, misplaced data
and imperfect data migrations, as well as political-economic accidents like
defunding of the hosting institution, deaccessioning parts of the collection
and sudden restrictions of access rights. Immediately after library.nu was
shut down on the grounds of copyright infringement in 2012, [Lawrence Liang
wrote](https://kafila.online/2012/02/19/library-nu-r-i-p/) of feeling “first
and foremost a visceral experience of loss.”

Whatever its legal status, the abrupt absence of a collection of 400,000 books
appears to follow a particularly contemporary pattern. In 2008, Aaron Swartz
moved millions of US federal co

d the pages themselves
scattering into bookshelves and basements, into the caring hands of relatives
or small institutions devoted to passing these words on to future generations.

While the massive digital archives listed above (library.nu, Library Genesis,
Sci-Hub, etc.) could play the role of the library of libraries, they tend to
be defined more as sites for [biblioleaks](https://www.jmir.org/2014/4/e112/).
Furthermore, given the vulnerability of these archives, we ought to look for
alternative approaches that do not rule out using their resources, but which
also do not _depend_ on them.

Dat Library takes the concept of “a library of libraries” not to manifest it
in a single, universal library, but to realise it progressively and partially
with different individuals, groups and institutions.

## Archival properties

So far, the emphasis of this README has been on _durability_ , and the
“accidents of the archive” have been instances of destruction and loss. The
persistence of an archive is, however, no guarantee of its _accessibility_ , a
common reality in digital libraries where access management is ubiquitous.
Official institutions police access to their archives vigilantly for the
ostensible purpose of preservation, but ultimately create a rarefied
relationship between the archives and their publics. Disregarding this
precious tendency toward preciousness, we also introduce _adaptability_ as a
fundamental consideration in the making of the projects Dat Library and
HyperReadings.

To adapt is to fit something for a new purpose. It emphasises that the archive
is not a dead object of research but a set of possible tools waiting to be
activated in new circumstances. This is always a possibility of an archive,
but we want to treat this possibility as desirable, as the horizon towards
which these projects move. We know how infrastructures can attenuate desire
and simply make things difficult. We want to actively encourage radical reuse.

In the following section, we don’t define these properties but rather discuss
how we implement (or fail to im

ary context, one can’t help
but notice that the shared resources, mutual support, and common
infrastructure seem fundamentally communist in nature. Computer networks are
not fundamentally exploitative or equitable, but they are used in specific
ways and they operate within particular economies. A redundant network of
interrelated, mutually supporting computers running mostly open-source
software can be the guts of an advanced capitalist engine, like Facebook. So,
could it be possible to organise our networked devices, embedded as they are
in a capitalist economy, in an anti-capitalist way?

Dat Library is built on the [Dat
Protocol](https://github.com/datproject/docs/blob/master/papers/dat-paper.md),
a peer-to-peer protocol for syncing folders of data. It is not the first
distributed protocol ([BitTorrent](https://en.wikipedia.org/wiki/BitTorrent)
is the best known and is noted as an inspiration for Dat), nor is it the only
new one being developed today ([IPFS](https://ipfs.io) or the Inter-Planetary
File System is often referenced in comparison), but it is unique in its
foundational goals of preserving scientific knowledge as a public good. Dat’s
provocation is that by creating custom infrastructure it will be possible to
overcome the accidents that restrict access to scientific knowledge. We would
specifically acknowledge here the role that the Dat community — or any
community around a protocol, for that matter — has in the formation of the
world that is built on top of that protocol. (For a sense of the Dat
community’s values — see its [code of conduct](https://github.com/datproject
/Code-of-Conduct/blob/master/CODE_OF_CONDUCT.md).)

When running Dat Library, a person sees their list of libraries. These can be
thought of as similar to a
[torrent](https://en.wikipedia.org/wiki/Torrent_file), where items are stored
across many computers. This means that many people will share in the provision
of disk space and bandwidth for a particular library, so that when someone
loses electricity or drops their computer, the library will not also break.
Although this is a technical claim — one that has been made in relation to
many projects, from Baran to BitTorrent — it is more importantly a social
claim: the users and lovers of a library will share

of reproduction — indeed, perhaps
because of such errors — it has recruited its copyists and interpreters into
the ranks of brotherhood (sic)”. Or its sisterhood — but, the point remains
clear that the reading / writing / sharing of texts binds us together, even in
disagreement.

### Accessibility

In the world of the web, durability is synonymous with accessibility — if
something can’t be accessed, it doesn’t exist. Here, we disentangle the two in
order to consider _access_ independent from questions of resilience.

##### Technically Accessible

When you create a new library in Dat, a unique 64-digit “key” will
automatically be generated for it. An example key is
`6f963e59e9948d14f5d2eccd5b5ac8e157ca34d70d724b41cb0f565bc01162bf`, which
points to a library of texts. In order for someone else to see the library you
have created, you must provide to them your library’s unique key (by email,
chat, on paper or you could publish it on your website). In short, _you_
manage access to the library by copying that key, and then every key holder
also manages access _ad infinitum_.

At the moment this has its limitations. A Dat is only writable by a single
creator. If you want to collaboratively develop a library or reading list, you
need to have a single administrator managing its contents. This will change in
the near future with the integration of
[hyperdb](https://github.com/mafintosh/hyperdb) into Dat’s core. At that
point, the platform will enable multiple contributors and the management of
permissions, and our single key will become a key chain.

How is this key any different from knowing the domain name of a website? If a
site isn’t indexed by Google and has a suitably unguessable domain name, then
isn’t that effectively the same degree of privacy? Yes, and this is precisely
why the metaphor of the key is so apt (with whom do you share the key to your
apartment?) but also why it is limited. With the key, one not only has the
ability to _enter_ the library, but also to completely _r

legal system but by the rules and traditions of the people and
their knowledge. [[“The Role of Information Technologies in Indigenous
Knowledge
Management”](https://epress.lib.uts.edu.au/system/files_force/Aus%20Indigenous%20Knowledge%20and%20Libraries.pdf?download=1),
101-102] These rights would not expire, nor would they be bought and sold,
because they are shared, i.e., held in common.

It is important, while imagining the possibilities of a technological
protocol, to also consider how different _cultural protocols_ might be
implemented and protected through the life of a project like Dat Library.
Certain aspects of this might be accomplished through library metadata, but
ultimately it is through people hosting their own archives and libraries
(rather than, for example, having them hosted by a state institution) that
cultural protocols can be translated and reproduced. Perhaps we should flip
the typical question of how might a culture exist within digital networks to
instead ask how should digital networks operate within cultural protocols?

### Adaptability (ability to use/modify as one’s own)

Durability and accessibility are the foundations of adoptability. Many would
say

be said that we are interested in ways to construct a form of
infrastructure that is infinitely hospitable. By this we mean, infrastructure
that accommodates the needs and desires of new users/audiences/communities and
allows them to enter and contort the technology to their own uses. We really
don’t see infrastructure as aimed at a single specific group, but rather that
it should generate spaces that people can inhabit as they wish. The poet Jean
Paul once wrote that books are thick letters to friends. Books as
infrastructure enable authors to find their friends. This is how we ideally
see Dat Library and HyperReadings working.

## Use cases

We began work on Dat Library and HyperReadings with a range of exemplary use
cases, real-world circumstances in which these projects might intervene. Not
only would the use cases make demands on the software we were and still are
beginning to write, but they would also give us demands to make on the Dat
protocol, which is itself still in the formative stages of development. And,
crucially, in an iterative feedback loop, this process of design produces
transformative effects on those situations described in the use cases
themselves, resulting in further new circumstances and new demands.

### Thorunka

Wendy Bacon and Chris Nash made us aware of Thorunka and Thor.

_Thorunka_ and _Thor_ were two underground papers in the early 1970’s that
spewed out from a censorship controversy surrounding the University of New
South Wales student newspaper _Tharunka_. Between 1971 and 1973, the student
mag

ccessible [via
Trove](http://trove.nla.gov.au/newspaper/page/24773115), the subsequent issues
of _Thorunka_ , and later _Thor_ , are not. For us, this demonstrates clearly
how collections themselves can encourage modes of reading. If you focus on
_Tharunka_ as a singular and long-standing periodical, this significant
political moment is rendered almost invisible. On the other hand, if the
issues are presented together, with commentary and surrounding publications,
the political environment becomes palpable. Wendy and Chris have kindly
allowed us to make their personal collection available via Dat Library (the
key is: 73fd26846e009e1f7b7c5b580e15eb0b2423f9bea33fe2a5f41fac0ddb22cbdc), so
you can discover this for yourself.

### Academia.edu alternative

Academia.edu, started in 2008, has raised tens of millions of dollars as a
social network for academics to share their publications. As a for-profit
venture, it is rife with metrics and it attempts to capitalise on the innate
competition and self-promotion of precarious knowledge workers in the academy.
It is simultaneously popular and despised: popular because it fills an obvious
desire to share the fruits of ones intellectual work, but despised for the
neoliberal atmosphere that pervades every design decision and automated
correspondence. It is, however, just trying to provide a return on investment.

[Gary Hall has written](http://www.garyhall.info/journal/2015/10/18/does-
academiaedu-mean-open-access-is-becoming-irrelevant.html) that “its financial
rationale rests … on the ability of the angel-investor and venture-capital-
funded professional entrepreneurs who run Academia.edu to exploit the data
flows generated by the academics who use the platform as an intermediary for
sharing and discovering research”. Moreover, he emphasises that in the open-
access world (outside of the exploitative practice of for-profit publishers
like Elsevier, who charge a premium for subscriptions), the privileged
position is to be the one “ _who gate-keeps the data generated around the use
of that content_ ”. This lucrative position has been produced by recent
“[recentralising tendencies](http://commonstransition.org/the-revolution-will-
not-be-decentralised-blockchains/)” of the internet, which in Academia’s case
captures various, scattered open access repositories, personal web pages, and
other archives.

Is it possible to redecentralise? Can we break free of the subjectivities that
Academia.edu is crafting for us as we are interpellated by its infrastructure?
It is incredibly easy for any scholar running Dat Library to make a library of
their own publications and post the key to their faculty web page, Facebook
profile or business card. The tricky — and interesting — thing would be to
develop platforms that aggregate thousands of these libraries in direct
competition with Academia.edu. This way, individuals would maintain control
over their own work; their peer groups would assist in mirroring it; and no
one would be capitalising on the sale of data related to their performance and
popularity.

We note that Academia.edu is a typically centripetal platform: it provides no
tools for exporting one’s own content, so an alternative would necessarily be
a kind of centrifuge.

This alternative is becoming increasingly realistic. With open-access journals
already paving the way, there has more recently been a [call for free and open
access to citation data](https://www.insidehighered.com/news/2017/12/06
/scholars-push-free-access-online-citation-data-saying-they-need-and-deserve-
access). [The Initiative for Open Citations (I4OC)](https://i4oc.org) is
mobilising against the privatisation of data and working towards the
unrestricted availability of scholarly citation data. We see their new
database of citations as making this centrifugal force a possibility.

### Publication format

In writing this README, we have strung together several references. This
writing might be published in a book and the references will be listed as
words at the bottom of the page or at the end of the text. But the writing
might just as well be published as a HyperReadings object, providing the
reader with an archive of all the things we referred to and an editable
version of this text.

A new text editor could be created for this new publication format, not to
mention a new form of

anches
and trace epistemological mutations.

## Proposition (or Presuppositions)

While the software that we have started to write is a proposition in and of
itself, there is no guarantee as to _how_ it will be used. But when writing,
we _are_ imagining exactly that: we are making intuitive and hopeful
presuppositions about how it will be used, presuppositions that amount to a
set of social propositions.

### The role of individuals in the age of distribution

Different people have different technical resources and capabilities, but
everyone can contribute to an archive. By simply running the Dat Library
software and adding an archive to it, a person is sharing their disk space and
internet bandwidth in the service of that archive. At first, it is only the
archive’s index (a list of the contents) that is hosted, but if the person
downloads the contents (or even just a small portion of the contents) then
they are sharing in the hosting of the contents as well. Individuals, as
supporters of an archive or members of a community, can organise together to
guarantee the durability and accessibility of an archive, saving a future
UbuWeb from ever having to worry about if their ‘ISP pulling the plug’. As
supporters of many archives, as members of many communities, individuals can
use Dat Library to perform this function many times over.

On the Web, individuals are usually users or browsers — they use browsers. In
spite of the ostensible interactivity of the medium, users are kept at a
distance from the actual code, the infrastructure of a website, which is run
on a server. With a distributed protocol like Dat, applications such as
[Beaker Browser](https://beakerbrowser.com) or Dat Library eliminate the
central server, not by destroying it, but by distributing it across all of the
users. Individuals are then not _just_ users, but also hosts. What kind of
subject is this user-host, especially as compared to the user of the server?
Michel Serres writes in _The Parasite_ :

> “It is raining; a passer-by comes in. Here is the interrupted meal once
more. Stopped for only a moment, since the traveller is asked to join the
diners. His host does not have to ask him twice. He accepts the invitation and
sits down in front of his bowl. The host is the satyr, dining at home; he is

n writing software we open up spaces for the unknown, and allow others agency
to build the forms that work for them. It is only in such an atmosphere of
infinite hospitality that we see the future of community libraries, individual
collections and other precarious archives.

## A note on this text

This README was, and still is being, collaboratively written in a
[Git](https://en.wikipedia.org/wiki/Git)
[repository](https://en.wikipedia.org/wiki/Repository_\(version_control\)).
Git is a free and open-source tool for version control used in software
development. All the code for Hyperreadings, Dat Library and their numerous
associated modules are managed openly using Git and hosted on GitHub under
open source licenses. In a real way, Git’s specification formally binds our
collaboration as well as the open invitation for others to participate. As
such, the form of this README reflects its content. Like this text, these
projects are, by design, works in progress that are malleable to circumstances
and open to contributions, for example by opening a pull request on this
document or raising an issue on our GitHub repositories.

dat in Murtaugh 2016

theque.be/wiki/index.php?title=A_bag_but_is_language_nothing_of_words&oldid=8480](https://www.mondotheque.be/wiki/index.php?title=A_bag_but_is_language_nothing_of_words&oldid=8480)"

te its use and
that of commercial telegraphy. Among the many advertisements for banking and
law services, office equipment, and alcohol are several ads for gun powder and
explosives, drilling equipment and metallurgic services all with specific
applications to mining. Extending telegraphy's formative role for ship-to-
shore and ship-to-ship communication for reasons of safety, commercial
telegraphy extended this network of communication to include those parties
coordinating the "raw materials" being mined, grown, or otherwise extracted
from overseas sources and shipped back for sale.

## "Raw data now!"

From [La ville intelligente - Ville de la connaissance](/wiki/index.php?title
=La_ville_intelligente_-_Ville_de_la_connaissance "La ville intelligente -
Ville de la connaissance"):

Étant donné que les nouvelles formes modernistes et l'utilisation de matériaux
propageaient l'abondance d'éléments décoratifs, Paul Otlet croyait en la
possibilité du langage comme modèle de « [données
brutes](/wiki/index.php?title=Bag_of_words "Bag of words") », le réduisant aux
informations essentielles et aux faits sans ambiguïté, tout en se débarrassant
de tous les éléments inefficaces et subjectifs.


From [The Smart City - City of Knowledge](/wiki/index.php?title
=The_Smart_City_-_City_of_Knowledge "The Smart City - City of Knowledge"):

As new modernist forms and use of materials propagated the abundance of
decorative elements, Otlet believed in the possibility of language as a model
of '[raw data](/wiki/index.php?title=Bag_of_words "Bag of words")', reducing
it to essential information and unambiguous facts, while removing all
inefficient assets of ambiguity or subjectivity.


> Tim Berners-Lee: [...] Make a beautiful website, but first give us the
unadulterated data, we want the data. We want unadulterated data. OK, we have
to ask for raw data now. And I'm going to ask you to practice that, OK? Can
you say "raw"?

>

> Audience: Raw.

>

> Tim Berners-Lee: Can you say "data"?

>

> Audience: Data.

>

> TBL: Can you say "now"?

>

> Audience: Now!

>

> TBL: Alright, "raw data now"!

>

> [...]

>

> So, we're at the stage now where we have to do this -- the people who think
it's a great idea. And all the people -- and I think there's a lot of people
at TED who do things because -- even though there's not an immediate return on
the investment because it will only really pay off when everybody else has
done it -- they'll do it because they're the sort of person who just does
things which would be good if everybody else did them. OK, so it's called
linked data. I want you to make it. I want you to demand it. [6]

## Un/Structured

As graduate students at Stanford, Sergey Brin and Lawrence (Larry) Page had an
early interest in producing "structured data" from the "unstructured" web. [7]

> The World Wide Web provides a vast source of information of almost all
types, ranging from DNA databases to resumes to lists of favorite restaurants.
However, this information is often scattered among many web servers and hosts,
using many different formats. If these chunks of information could be
extracted from the World Wide Web and integrated into a structured form, they
would form an unprecedented source of information. It would include the
largest international directory of people, the largest and most diverse
databases of products, the greatest bibliography of academic works, and many
other useful resources. [...]

>

> **2.1 The Problem**
> Here we define our problem more formally:
> Let D be a large database of unstructured information such as the World
Wide Web [...] [8]

In a paper titled _Dynamic Data Mining_ Brin and Page situate their research
looking for _rules_ (statistical correlations) between words used in web
pages. The "baskets" they mention stem from the origins of "market basket"
techniques developed to find correlations between the items recorded in the
purchase receipts of supermarket customers. In their case, they deal with web
pages rather than shopping baskets, and words instead of purchases. In
transitioning to the much larger scale of the web, they describe the
usefulness of their research in terms of its computational economy, that is
the ability to tackle the scale of the web and still perform using
contemporary computing power completing its task in a reasonably short amount
of time.

> A traditional algorithm could not compute the large itemsets in the lifetime
of the universe. [...] Yet many data sets are difficult to mine because they
have many frequently occurring items, complex relationships between the items,
and a large number of items per basket. In this paper we experiment with word
usage in documents on the World Wide Web (see Section 4.2 for details about
this data set). This data set is fundamentally different from a supermarket
data set. Each document has roughly 150 distinct words on average, as compared
to roughly 10 items for cash register transactions. We restrict ourselves to a
subset of about 24 million documents from the web. This set of documents
contains over 14 million distinct words, with tens of thousands of them
occurring above a reasonable support threshold. Very many sets of these words
are highly correlated and occur often. [9]

## Un/Ordered

In programming, I've encountered a recurring "problem" that's quite
symptomatic. It goes something like this: you (the programmer) have managed to
cobble out a lovely "content management system" (either from scratch, or using
any number of helpful frameworks) where your user can enter some "items" into
a database, for instance to store bookmarks. After this ordered items are
automatically presented in list form (say on a web page). The author: It's
great, except... could this bookmark come before that one? The problem stems
from the fact that the database ordering (a core functionality provided by any
database) somehow applies a sorting logic that's almost but not quite right. A
typical example is the sorting of names where details (where to place a name
that starts with a Norwegian "Ø" for instance), are language-specific, and
when a mixture of languages occurs, no single ordering is necessarily
"correct". The (often) exascerbated programmer might hastily add an additional
database field so that each item can also have an "order" (perhaps in the form
of a date or some other kind of (alpha)numerical "sorting" value) to be used
to correctly order the resulting list. Now the author has a means, awkward and
indirect but workable, to control the order of the presented data on the start
page. But one might well ask, why not just edit the resulting listing as a
document? Not possible! Contemporary content management systems are based on a
data flow from a "pure" source of a database, through controlling code and
templates to produce a document as a result. The document isn't the data, it's
the end result of an irreversible process. This problem, in this and many
variants, is widespread and reveals an essential backwardness that a
particular "computer scientist" mindset relating to what constitutes "data"
and in particular it's relationship to order that makes what might be a
straightforward question of editing a document into an over-engineered
database.

Recently working with Nikolaos Vogiatzis whose research explores playful and
radically subjective alternatives to the list, Vogiatzis was struck by how
from the earliest specifications of HTML (still valid today) have se

would be quite appropriate. Other possibilities for interactive display
include embedded scrollable browse panels. [10]

Vogiatzis' surprise lay in the idea of a list ever being considered
"unordered" (or in opposition to the language used in the specification, for
order to ever be considered "insignificant"). Indeed in its suggested
representation, still followed by modern web browsers, the only difference
between the two visually is that UL items are preceded by a bullet symbol,
while OL items are numbered.

The idea of ordering runs deep in programming practice where essentially
different data structures are employed depending on whether order is to be
maintained. The indexes of a "hash" table, for instance (also known as an
associative array), are ordered in an unpredictable way governed by a
representation's particular implementation. This data structure, extremely
prevalent in contemporary programming practice sacrifices order to offer other
kinds of efficiency (fast text-based retrieval for instance).

## Data mining

In announcing Google's impending data center in Mons, Belgian prime minister
Di Rupo invoked the link between the history of the mining industry in the
region and the present and future interest in "data mining" as practiced by IT
companies such as Google.

Whether speaking of bales of cotton, barrels of oil, or bags of words, what
links these subjects is the way in which the notion of "raw material" obscures
the labor and power structures employed to secure them. "Raw" is always
relative: "purity" depends on processes of "refinement" that typically carry
social/ecological impact.

Stripping language of order is an act of "disemb

lly publishing, collecting and cataloging [11].

"Unstructured" to the computer scientist, means non-conformant to particular
forms of machine reading. "Structuring" then is a social process by which
particular (additional) conventions are agreed upon and employed. Computer
scientists often view text through the eyes of their particular reading
algorithm, and in the process (voluntarily) blind themselves to the work
practices which have produced and maintain these "resources".

Berners-Lee, in chastising his audience of web publishers to not only publish
online, but to release "unadulterated" data belies a lack of imagination in
considering how language is itself structured and a blindness to the need for
more than additional technical standards to connect to existing publishing
practices.

Last Revision: 2*08*2016

1. ↑ Benjamin Franklin Lieber, Lieber's Standard Telegraphic Code, 1896, New York;
2. ↑ Katherine Hayles, "Technogenesis in Action: Telegraph Code Books and the Place of the Human", How We Think: Digital Media and Contemporary Technogenesis, 2006
3. ↑ Hayles
4. ↑ Lieber's
5. ↑ Hayles
6. ↑ Tim Berners-Lee: The next web, TED Talk, February 2009
7. ↑ "Research on the Web seems to be fashionable these days and I guess I'm no exception." from Brin's [Stanford webpage](http://infolab.stanford.edu/~sergey/)
8. ↑ Extracting Patterns and Relations from the World Wide Web, Sergey Brin, Proceedings of the WebDB Workshop at EDBT 1998,
9. ↑ Dynamic Data Mining: Exploring Large Rule Spaces by Sampling; Sergey Brin and Lawrence Page, 1998; p. 2
10. ↑ Hypertext Markup Language (HTML): "Internet Draft", Tim Berners-Lee and Daniel Connolly, June 1993,
11. ↑

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