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bp.html
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bp.html
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+----------<!DOCTYPE html>
<html>
<head>
<meta content="text/html; charset=utf-8" http-equiv="content-type">
<meta name="generator" content="HTML Tidy for HTML5 (experimental) for Linux https://github.com/w3c/tidy-html5/tree/c63cc39">
<meta content="width=device-width,initial-scale=1" name="viewport">
<title>Data on the Web Best Practices</title>
<script class="remove" src="http://www.w3.org/Tools/respec/respec-w3c-common"></script>
<script class="remove" src="bpconfig.js"></script>
<script src="cross-dom.js" type="text/javascript"></script>
<script>
/* *********************************************
This script auto-generates the lists of BPs by benefit. It works by picking
up the ul of class 'benefitsList'. If there is no JavaScript, that list still
exists as a normal ul. If JS is active, the list is replaced by the icons
************************************************ */
window.onload=init;
function bpObject(t,id,b,reqs) {
this.title = t; // The BP's title
this.id = id // Its id
if (b != undefined) {
var benefitList = new Array () ;
for (var i = 0; i < b.length; i++) {
benefitList.push(b[i].textContent);
}
this.benefits = benefitList; // Its benefits in an array
}
var requirementList = new Array();
for (var i = 0; i < reqs.length; i++) {
requirementList.push(reqs[i].hash.substring(1));
}
this.requirements = requirementList;
}
function benefitObject(b) {
this.name = b; // The benefit's name
this.id = b.toLowerCase(); // The benefit's id which is an all lower case version of the name
// I'd like to create the image object here and reuse it but it doesn't seem to work properly sadly.
/* var img = document.createElement('img');
img.src= 'images/' + b.toLowerCase() + '.svg';
img.alt= b;
img.classList.add('benefitIcon');
this.img = img; */
}
function createBenefitsTable(BPList) {
// function to generate table of bp vs. benefits
var benefitsTable = document.getElementById('bpbenefitstable');
var tbody = benefitsTable.getElementsByTagName('tbody')[0];
BPList.forEach(function(bp){
var row = tbody.insertRow(tbody.rows.length); // new row for the table
var cellBp = row.insertCell(0); // cell for BP title
var cellBenefits = row.insertCell(1); // cell for benefits
var bpTitle = document.createTextNode(bp.title);
var bpLink = document.createElement('a');
bpLink.setAttribute('href', '#'+bp.id);
bpLink.appendChild(bpTitle);
cellBp.appendChild(bpLink); // put BP link on the cell
var ul = document.createElement('ul');
ul.setAttribute('class', 'benefitsList'); // create a new ul for benefitsList
bp.benefits.forEach(function(benefit){ // iterate over benefits of the BP
var li = document.createElement('li');
var benefitText = document.createTextNode(benefit);
li.appendChild(benefitText);
ul.appendChild(li);
});
cellBenefits.appendChild(ul);
});
}
function updateBenefitListReuse() {
var benefitListReuse = document.getElementById('benefitListReuse');
var ul = benefitListReuse.getElementsByTagName('ul')[0];
benefitListReuse.removeChild(ul);
var p = document.createElement('p');
p.appendChild(document.createTextNode('All Best Practices'));
benefitListReuse.appendChild(p);
}
function createRequirementsTable(BPlist) {
var reqs = new Array();
var requirmentsTable = document.getElementById('requirementsbpstable');
var tbody = requirmentsTable.getElementsByTagName('tbody')[0];
BPlist.forEach(function(bp){
bp.requirements.forEach(function(req){
if (reqs[req] !== undefined) {
reqs[req].push(bp);
}
else {
reqs.push(req);
reqs[req] = new Array();
reqs[req].push(bp);
}
});
});
reqs.forEach(function(req){
var row = tbody.insertRow(tbody.rows.length); // new row for the table
var cellReq = row.insertCell(0); // cell for requirement
var cellBps = row.insertCell(1); // cell for BPs
var reqLink = document.createElement('a');
reqLink.setAttribute('href', 'https://www.w3.org/TR/dwbp-ucr/#'+req);
reqLink.appendChild(document.createTextNode(req));
cellReq.appendChild(reqLink);
reqs[req].forEach(function(bp){
var p = document.createElement('p');
var bpLink = document.createElement('a');
bpLink.setAttribute('href', '#'+bp.id);
bpLink.appendChild(document.createTextNode(bp.title));
p.appendChild(bpLink);
cellBps.appendChild(p);
});
});
}
function init() {
// Need an array of objects for the benefits
var theBenefits = new Array ();
theBenefits.push(new benefitObject('Reuse')) ;
theBenefits.push(new benefitObject('Access')) ;
theBenefits.push(new benefitObject('Discoverability')) ;
theBenefits.push(new benefitObject('Processability')) ;
theBenefits.push(new benefitObject('Trust')) ;
theBenefits.push(new benefitObject('Interoperability')) ;
theBenefits.push(new benefitObject('Linkability')) ;
theBenefits.push(new benefitObject('Comprehension')) ;
// Get list of our BPs and put them in an array of objects
var BPlist = new Array (); // This will be our array of BPs from the document
var BPdivs = new Array ();
BPdivs = document.getElementsByClassName('practice'); // This is the info we have effectively scraped from the page
// Need the title and id of each one
for (var i = 0; i < BPdivs.length; i++) {
var t; var id; var b; var reqs;
var BPtop = BPdivs[i].getElementsByClassName('practicelab');
t = BPtop[0].textContent; // There should only be values in BPtop[0]
id = BPtop[0].id;
// Now we need the list of benefits for that BP
var BPbenefitsList = BPdivs[i].getElementsByClassName('benefitsList');
if (BPbenefitsList[0] != undefined) {
b = BPbenefitsList[0].getElementsByTagName("li");
} else {
b = undefined;
}
var BPrequirementsList = BPdivs[i].getElementsByClassName('ucr')[0].getElementsByTagName('a');
reqs = BPrequirementsList;
BPlist.push(new bpObject(t, id, b, reqs)) ;
}
createBenefitsTable(BPlist); // Call function to create Benefits Table
createRequirementsTable(BPlist); // Call function to create Requirements Table
// Now create the panels
var r;
for (var i = 0; i < theBenefits.length; i++) { // Working through the list of benefits
r = document.createElement('div'); // Need to create the div, ready to add the list items for this benefit
r.classList.add('benefit-list-panel');
r.id = 'benefitList' + theBenefits[i].name;
/* var img = document.createElement('img'); // Put the icon at the top
img.src= 'images/' + theBenefits[i].name.toLowerCase() + '.svg';
img.alt= theBenefits[i].name;
img.classList.add('benefitIconPanel');
r.appendChild(img); */
var h = document.createElement('p');
h.classList.add('benefitsPanelTitle');
var ht = document.createTextNode(theBenefits[i].name); // Create the heading for the div which is the benefit
h.appendChild(ht);
r.appendChild(h);
// And add a UL
var ul = document.createElement('ul'); // Create the ul element that we're going to add each relevant BP to
ul.id = theBenefits[i].id + 'BPs';
for (var j = 0; j < BPlist.length; j++) { // Go through list of BPs in the doc
if (typeof BPlist[j].benefits == 'object') { // Do we have a list of benefits for this BP?
for (var k = 0; k < BPlist[j].benefits.length; k++) { // We need to look at the benefits the BP offers
if (theBenefits[i].name == BPlist[j].benefits[k]) { // We're looking at the i benefit in the list of possibles and the k benefit of BP j
var li = document.createElement('li'); // If there's a match, create the li with the hyperlink
var a = document.createElement('a');
a.href = '#' + BPlist[j].id;
var t = document.createTextNode(BPlist[j].title);
a.appendChild(t);
li.appendChild(a);
ul.appendChild(li); // Add this BP to the benefit div's list
}
}
}
}
r.appendChild(ul); // Add the ul with all its li elements to the div
document.getElementById('benefitsTables').appendChild(r); // Add the div to the doc
}
// Next we want to replace all text benefits with the relevant icon
var bList = document.getElementsByClassName('benefitsList'); // get the set of ul elements we need to process
for (var i = 0; i < bList.length; i++) {
var listElements = bList[i].getElementsByTagName('li'); // Get the li elements within this ul
for (var j = 0; j < listElements.length; j++) {
for (var k = 0; k < theBenefits.length; k++) { // Go through the benefits
if (listElements[j].textContent == theBenefits[k].name) { // The text in the current li element matches the current benefit, so we can make the swap
// bList[i].removeChild(listElements[j]); // This works but it destroys things as they're created. Should rearrange the loop but for now...
listElements[j].classList.add('hidden'); // Hide the original li
var l = document.createElement('li'); // Create a new li
l.classList.add('icon');
var img = document.createElement('img'); // This is repetitive but I tried to create an img element in theBenefits but
img.src= 'images/' + theBenefits[k].name.toLowerCase() + '.svg'; // For reasons I don't understand, it dowsn't work properly, this does.
img.alt= theBenefits[k].name;
img.classList.add('benefitIcon');
img.classList.add(theBenefits[k].id + 'Icon');
l.appendChild(img); // Add the img element from the current benefit
bList[i].appendChild(l); // Add the li back into the current ul
}
}
}
}
updateBenefitListReuse(); // replace ul>li of Benefits Reuse to text "All Best Practices"
// Separately, we need to set up the cross dom for the challenges SVG
initCrossDom();
}
</script>
<style type="text/css">
#bp-summary ul {
list-style-type: none;
padding-left: 0;
line-height:1.6em;
background-color: #FCFAEE;
}
.hidden {display:none}
ul.benefitsList li.icon {
display:inline;
list-style-type: none;
}
ul.benefitsList li.icon img {
padding:0;
margin-right:1em;
max-width:60px;
max-height: 70px;
}
ul.benefitsList li.icon img.comprehensionIcon, ul.benefitsList li.icon img.discoverabilityIcon, ul.benefitsList li.icon img.interoperabilityIcon, ul.benefitsList li.icon img.processabilityIcon {
max-width:80px;
}
ul.benefitsList li.icon img.discoverabilityIcon, ul.benefitsList li.icon img.interoperabilityIcon, ul.benefitsList li.icon img.processabilityIcon {
max-width:73px;
}
/* *************************************************************
These styles are for the lists of benefits
************************************************************** */
#benefitsTables {
width: 100%;
margin: 0 auto;
}
.benefit-list-panel {
border-radius: 1em; /*(padrão)*/
-moz-border-radius: 1em; /*(navegadores Flock e Firefox)*/
-webkit-border-radius: 1em; /*(navegadores Chrome e Safari)*/
padding: 0.2em 1em;
}
.benefit-list-panel ul {
list-style-type:none;
padding-left:0;
}
.benefit-list-panel ul li {
font-size:smaller;
line-height:1.4em;
}
.benefit-list-panel p.benefitsPanelTitle {
font-weight: bold;
text-transform: uppercase;
text-align: center;
}
#benefitListReuse {
background: #B0CC9B;
border: 1px solid #387F05;
}
#benefitListAccess {
background: #E8F1FA;
border: 1px solid #81B3E0;
}
#benefitListTrust {
background: #E6BE9F;
border: 1px solid #BF5B0E;
}
#benefitListDiscoverability {
background: #CCBEB5;
border: 1px solid #7F5C46;
}
#benefitListProcessability {
background: #C5B5DE;
border: 1px solid #6E46AD;
}
#benefitListInteroperability {
background: #F3E09A;
border: 1px solid #E0B200;
}
#benefitListLinkability {
background: #B9C1CC;
border: 1px solid #50637F;
}
#benefitListComprehension {
background: #B3B3B3;
border: 1px solid #404040;
}
/* *******************************************
We reuse the 2 column style (for screens > 600 wide) from the list of BPs
to create the columns for the lists of benefits
********************************************** */
@media screen and (min-width: 600px) {
#bp-summary ul, #benefitsTables {
column-count:2;
-moz-column-count:2;
-webkit-column-count:2;
column-gap: 1em;
}
/* We need to re-set the column number to 1 so that within each panel there is only 1 column */
#benefitsTables .benefit-list-panel {
column-count:1;
-moz-column-count:1;
-webkit-column-count:1;
margin:.1em;
display:inline-block; /* This prevents single lists spanning multiple columns, thank you http://stackoverflow.com/questions/6682501/css3-columns-widows-orphans */
width:90%; /* For somr reason some of the panels are wider than others, this stops that heppening */
}
}
/* And we can go to three columns for bigger screens */
@media screen and (min-width: 850px) {
#benefitsTables {
column-count:3;
-moz-column-count:3;
-webkit-column-count:3;
column-gap: 1em;
}
}
/* Styles for the BPs themsevles */
.practice, #tempPractice {
padding-left: 1em;
background-color: #FCFAEE;
border: thin solid #CCC;
/*border-radius: 10px;*/
margin-bottom: 1.5em;
}
#tempPractice .tempPracticelab {
background-color:#dfffff;
position: relative;
top: -1.5em;
font-weight:bold;
}
.practice p.practicedesc, #tempPractice p.tempPracticedesc {
font-style:italic;
border-bottom: thin solid black;
position:relative;
top:-1.5em;
margin: 0 2em -1em 1em;
}
.subhead{
font-weight:bold;
margin-top:1em;
}
.benefits .stamp {
height: 52px;
width: 52px;
margin-right: 4px;
margin-bottom: 4px;
}
.benefits .stamp-template {
height: 82px;
width: 82px;
margin-right: 4px;
margin-bottom: 4px;
}
.practice dl dt #tempPractice dl dt{
font-weight:normal;
}
figure {
text-align:center;
}
figure#contextDiagram {
width:60%;
margin:0 auto;
}
figure figcaption {
text-align:center;
font-style:italic;
}
table#uripatternstable,
table.bptable {
border-collapse: collapse;
caption-side:bottom;
}
table#uripatternstable th, table#uripatternstable td,
table.bptable th, table.bptable td {
border: 1px solid black;
padding:0.3em;
}
table#uripatternstable caption,
table.bptable caption {
margin:0.5em;
font-style:italic;
}
.stmt
{
padding: 3pt}
.stmt1
{
column-count:2;
-moz-column-count:2;
-webkit-column-count:2;
column-gap: 1em;
background-color: #FCFAEE;
}
.expand{
display:block;
cursor: pointer;
}
.expand:hover {
color: #3D3D3D;
}
.expand:before {
font-weight: bold;
content: "\25C6 Example (click to expand or collapse)";
}
.expand + input{
display:none;
}
.expand + input + *{
display:none;
}
.expand + input:checked + *{
display:block;
}
.benefits-itens {
width: 100%;
margin: 0 auto;
}
.benefits-itens .item {
border-radius: 22px; /*(padrão)*/
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<body>
<section id="abstract">
<p>This document provides Best Practices related to the
publication and usage of data on the Web designed to help support a
self-sustaining ecosystem. Data should be discoverable and
understandable by humans and machines. Where data is used in some way,
whether by the originator of the data or by an external party, such
usage should also be discoverable and the efforts of the data publisher
recognized. In short, following these Best Practices will facilitate
interaction between publishers and consumers.</p>
</section>
<section id="sotd">
<p>This version of the document shows its expected scope and future
direction. A template is used to show the "what", "why" and "how" of
each Best Practice. Comments are sought on the usefulness of this
approach and the expected scope of the final document.</p>
</section>
<section id="intro" class="informative">
<h2>Introduction</h2>
<p>The Best Practices described below have been developed to encourage and
enable the continued expansion of the Web as a medium for the exchange
of data. The growth in online sharing of open data by governments across the world
[[OKFN-INDEX]] [[ODB]], the increasing online publication of research data encouraged
by organizations like the Research Data Alliance [[RDA]], the harvesting,
analysis and online publishing of social media data, crowd-sourcing of information, the
increasing presence on the Web of important cultural heritage collections such as at the
Bibliothèque nationale de France [[BNF]] and the sustained growth in the
Linked Open Data Cloud [[LODC]], provide some examples of this growth in
the use of Web for publishing data.</p>
<p>However, this growth is not consistent in style and in many cases does not make use of the full potential of the Open Web Platform's ability to link one fact to another, to discover related resources and to create interactive visualizations.</p>
<p>In broad terms, data publishers aim to share data either openly or with
controlled access. Data consumers (who may also be producers themselves)
want to be able to find, use and link to the data, especially if it is accurate,
regularly updated and guaranteed to be available at all times. This
creates a fundamental need for a common understanding between data
publishers and data consumers. Without this agreement, data publishers'
efforts may be incompatible with data consumers' desires.</p>
<p>The openness and flexibility of the Web create new challenges for data
publishers and data consumers, such as how to
represent, describe and make data available in a way that it will be
easy to find and to understand. In contrast to conventional databases,
for example, where there is a single data model to represent the data
and a database management system (DBMS) to control data access, data on
the Web allows for the existence of multiple ways to represent and to
access data. For more details about the challenges see the section <a href="#challenges">Data on the Web Challenges</a>.</p>
<p>In this context, it becomes crucial to
provide guidance to publishers that will improve consistency in the way
data is managed. Such guidance will promote the reuse of data and foster
trust in the data among developers, whatever technology they choose to
use, increasing the potential for genuine innovation.</p>
<p>A general Best Practice to publish Data on the Web is to use standards. Different types of organizations specify standards that are specific to the publishing of datasets related to particular domains & applications, involving communities of users interested in that data. These standards define a common way of communicating information among the users of these communities. For example, there are two standards that can be used to publish transport timetables: the General Transit Feed Specification [[GTFS]] and the Service Interface for Real Time Information [[SIRI]]. These specify, in a mixed way, standardized terms, standardized data formats and standardized data access. The Best Practices set out in this document serve a general purpose of publishing and using Data on the Web and are domain & application independent. They can be extended or complemented by other Best Practices documents or standards that cover more specialized contexts.</p>
<!-- <p>Taking that into account, this document sets out a series of Best Practices that will help publishers and consumers face the new challenges and opportunities posed by data on the Web. They intend to serve a general purpose of publishing and using Data on the Web, but they may be specialized according to specific domains, such as Spatial Data on the Web Best Practices [[SDW-BP]].</p>-->
<p>Best Practices cover different aspects related to data publishing and
consumption, like data formats, data access, data identifiers and
metadata. In order to delimit the scope and elicit the required features
for Data on the Web Best Practices, the <abbr title="Data on the Web Best Practices">DWBP</abbr>
working group compiled a set of use cases [[DWBP-UCR]] that represent
scenarios of how data is commonly published on the Web and how it is
used. The set of requirements derived from these use cases were used to
guide the development of the Best Practices.</p>
<p>The Best Practices proposed in this document are intended to serve a
more general purpose than the practices suggested in, for example, Best Practices for
Publishing Linked Data [[LD-BP]] since DWBP is domain-independent. Whilst DWBP recommends the use of Linked Data, it also promotes best
practices for data on the Web in other open formats such as CSV. <!--The Best Practices related to the use of vocabularies
incorporate practices that stem from Best Practices for Publishing
Linked Data where appropriate.</p>-->
<p>In order to encourage data publishers to adopt the DWBP, benefits were set: comprehension; processability; discoverability; reuse; trust; linkability; access; and interoperability. They are described and related to the Best Practices in the section <a href="#BP_Benefits">Best Practices Benefits</a>.</p>
</section>
<section id="audience" class="informative">
<h2>Audience</h2>
<p>This document sets out Best Practices tailored primarily for those who publish data on the
Web. The Best Practices are designed to meet the needs of information
management staff, developers, and wider groups such as scientists
interested in sharing and reusing research data on the Web. While data
publishers are our primary audience, we encourage all those engaged in
related activities to become familiar with it. Every attempt has been
made to make the document as readable and usable as possible while still
retaining the accuracy and clarity needed in a technical specification.</p>
<p>Readers of this document are expected to be familiar with some
fundamental concepts of the architecture of the Web [[WEBARCH]], such as
resources and URIs, as well as a number of data formats. The normative
element of each Best Practice is the <em>intended outcome</em>.
Possible implementations are suggested and, where appropriate, these
recommend the use of a particular technology.
A basic knowledge of vocabularies and data models would be helpful to
better understand some aspects of this document. </p>
</section>
<section id="scope" class="informative">
<h2>Scope</h2>
<p>This document is concerned solely with Best Practices that:</p>
<ul>
<li>are specifically relevant to data published on the Web;</li>
<li>encourage publication or reuse of data on the Web;</li>
<li>can be tested by machines, humans or a combination of the two.</li>
</ul>
<p>As noted above, whether a Best Practice has or has not been followed
should be judged against the <em>intended outcome</em>, not the <em>possible
approach to implementation</em> which is offered as guidance. A best
practice is always subject to improvement as we learn and evolve the Web
together.</p>
</section>
<section id="context" class="informative">
<h2>Context</h2>
<p>In general, the Best Practices proposed for publication and usage of
Data on the Web refer to <a href="#dataset">datasets</a> and <a href="#distribution">
distributions</a>. Data is published in different distributions, which are specific physical form of a dataset. By data, "we mean known facts
that can be recorded and that have implicit meaning" [[Navathe]]. These
distributions facilitate the sharing of data on a large scale, which
allows datasets to be used for several groups of <a href="#data_consumer">
data consumers </a>, without regard to purpose, audience, interest,
or license. Given this heterogeneity and the fact that data publishers
and data consumers may be unknown to each other, it is necessary to
provide some information about the datasets that may also contribute to
trustworthiness and reuse, such as: structural metadata, descriptive
metadata, access information, data quality information, provenance
information, license information and usage information. </p>
<p>An important aspect of publishing and sharing data on the Web
concerns the architectural basis of the Web [[WEBARCH]].
An important aspect of this is the identification principle that says that URIs
should be used to identify resources. In our context, a resource may be
a whole dataset or a specific item of given dataset. All resources
should be published with stable URIs, so that they can be referenced and
make links, via URIs, between two or more resources.</p>
<p>The following diagram illustrates the dataset composition (data values
and metadata) together with other components related to the dataset
publication and usage. Data values correspond to the data itself and may
be available in one or more distributions, which should be defined by
the publisher considering data consumer's expectations. The Metadata
component corresponds to the additional information that describes the
dataset and dataset distributions, helping the manipulation and the
reuse of the data. In order to allow easy access to the dataset and
its corresponding distributions, multiple dataset access mechanisms
can be available. Finally, to promote the interoperability among
datasets it is important to adopt vocabularies and standards. </p>
<img src="images/context.jpg" alt="Our Context" height="280" width="480">
</section>
<section id="namespaces" class="informative">
<h2> Namespaces </h2>
<p> The following namespace prefixes are used throughout this document. </p>
<table id="uripatternstable">
<caption>Namespaces used in the document</caption>
<tbody>
<tr>
<th>Prefix</th>
<th>Namespace IRI</th>
</tr>
<tr>
<td>cnt</td>
<td>http://www.w3.org/2011/content#</td>
</tr>
<tr>
<td>dcat</td>
<td>http://www.w3.org/ns/dcat#</td>
</tr>
<tr>
<td>dct</td>
<td>http://purl.org/dc/terms/</td>
</tr>
<tr>
<td>dqv</td>
<td>http://www.w3.org/ns/dqv#</td>
</tr>
<tr>
<td>duv</td>
<td>http://www.w3.org/ns/duv#</td>
</tr>
<tr>
<td>foaf</td>
<td>http://xmlns.com/foaf/0.1/</td>
</tr>
<tr>
<td>oa</td>
<td>http://www.w3.org/ns/oa#</td>
</tr>
<tr>
<td>owl</td>
<td>http://www.w3.org/2002/07/owl#</td>
</tr>
<tr>
<td>pav</td>
<td>http://pav-ontology.github.io/pav/</td>
</tr>
<tr>
<td>prov</td>
<td>http://www.w3.org/ns/prov#</td>
</tr>
<tr>
<td>rdf</td>
<td>http://www.w3.org/1999/02/22-rdf-syntax-ns#</td>
</tr>
<tr>
<td>rdfs</td>
<td>http://www.w3.org/2000/01/rdf-schema#</td>
</tr>
<tr>
<td>skos</td>
<td>http://www.w3.org/2004/02/skos/core#</td>
</tr>
</tbody>
</table>
</section>
<section id="bp-template">
<h2>Best Practices Template</h2>
<p>This section presents the template used to describe Data on the Web
Best Practices.</p>
<section> <!-- This section exists simply to put the example at the same level in the doc outline as the actual BPs -->
<div id="tempPractice">
<p><span id="template" class="tempPracticelab">Best Practice Template</span></p>
<p class="tempPracticedesc">Short description of the BP</p>
<section class="axioms">
<h4 class="subhead">Why</h4>
<p>This section answers two crucial questions:</p>
<ul>
<li>Why this is unique to publishing or reusing data on the Web? </li>
<li>How does this encourages publication or reuse of data on the
Web? </li>
</ul>
<p>A full text description of the problem
addressed by the Best Practice may also be provided. It can be any
length but is likely to be no more than a few sentences. </section>
<section class="outcome">
<h4 class="subhead">Intended Outcome</h4>
<p>What it should be possible to do when a data publisher follows the
Best Practice. </p>
</section>
<section class="how">
<h4 class="subhead">Possible Approach to Implementation</h4>
<p>A description of a possible implementation strategy is provided.
This represents the best advice available at the time of writing but
specific circumstances and future developments may mean that
alternative implementation methods are more appropriate to achieve
the intended outcome.</p>
</section>
<section class="test">
<h4 class="subhead">How to Test</h4>
<p>Information on how to test the BP has been met. This might or might
not be machine testable.</p>
</section>
<section class="ucr">
<h4 class="subhead">Evidence</h4>
<p>Information about the relevance of the BP. It is described by one
or more relevant requirements as documented in the Data
on the Web Best Practices Use Cases & Requirements document [[DWBP-UCR]]</p>
</section>
<section class="benefits" typeof="bibo:Chapter" resource="" property="bibo:hasPart">
<h4 class="subhead">Benefits</h4>
A <a href="#BP_Benefits"> benefit </a> represents an improvement in the way how datasets are available on the Web. A Best Practice can have one or more benefits.
<ul class="benefitsList">
<!-- This text list is replaced by the icons by scripting -->
<li>Reuse</li>
<li>Comprehension</li>
<li>Linkability</li>
<li>Discoverability</li>
<li>Trust</li>
<li>Access</li>
<li>Interoperability</li>
<li>Processability</li>
</ul>
</section>
</div>
</section>
</section>
<section id="bp-summary"></section>
<section id="bestPractices">
<h2>The Best Practices</h2>
<p>This section contains the Best Practices to be used by data publishers in order to help them and data consumers to overcome the different challenges faced when publishing and consuming data on the Web. One or more Best Practices were proposed for each one of the challenges, which are described in the section <a href="#challenges">Data on the Web Challenges</a>.</p>
<p>Each BP is related to one or more requirements from the Data on the Web Best Practices Use Cases & Requirements document [[DWBP-UCR]] which guided their development. Each Best Practice has at least one of these requirements as evidence of its relevance.</p>
<section id="basicExample">
<h3>Running Example</h3>
<div class="example" style="counter-increment:none">John works for the Transport Agency of MyCity and is in charge of publishing data about public transport. John wants to publish this data for different types of data consumers such as developers interested on creating applications and also for software agents. It is important that both humans and software agents can easily understand and process the data which should be kept up to date and be easily discoverable on the Web. </div>
<p>RDF examples of the application of some Best Practices are shown using Turtle [[Turtle]].</p>
</section>
<section id="metadata">
<h3>Metadata</h3>
<p>The Web is an open information space, where the absence of a specific
context, such a company's internal information system, means that the
provision of metadata is a fundamental requirement. Data will not be
discoverable or reusable by anyone other than the publisher if
insufficient metadata is provided. Metadata provides additional
information that helps data consumers better understand the meaning of
data, its structure, and to clarify other issues, such as rights and
license terms, the organization that generated the data, data quality,
data access methods and the update schedule of datasets.</p>
<p>Metadata can be used to help tasks such as dataset discovery and reuse,
and can be assigned considering different levels of granularity from a
single property of a resource to a whole dataset, or all datasets from a
specific organization.</p>
<p>Metadata can be of different types. These types can be classified in
different taxonomies, with different grouping criteria. For example, a
specific taxonomy could define three metadata types according to
descriptive, structural and administrative features. A different taxonomy could define
metadata types with a scheme according to tasks where metadata are
used, for example, discovery and reuse.</p>
<!-- begin of Provide Metadata BP -->
<div class="practice">
<p><span id="ProvideMetadata" class="practicelab">Provide metadata</span></p>
<p class="practicedesc">Provide metadata for both human users and computer applications.</p>
<section class="axioms">
<h4 class="subhead">Why</h4>
<p>Providing metadata is a fundamental requirement when publishing
data on the Web because data publishers and data consumers may be
unknown to each other. Then, it is essential to provide information
that helps human users and computer applications to understand the
data as well as other important aspects that describes a dataset
or a distribution.</p>
</section>
<section class="outcome">
<h4 class="subhead">Intended Outcome</h4>
<p>Humans will be able to understand the metadata and computer applications, notably user agents, will be able to process it.</p>
</section>
<section class="how">
<h4 class="subhead">Possible Approach to Implementation</h4>
<p>Possible approaches to provide <em>human readable metadata:</em></p>
<ul>
<li>to provide metadata as part of an HTML Web page</li>
<li>to provide metadata as a separate text file</li>
</ul>
<p>Possible approaches to provide <em>machine readable metadata:</em></p>
<ul>
<li> machine readable metadata may be provided in a serialization
format such as Turtle and JSON, or it can be embedded in the
HTML page using [[HTML-RDFA]] or [[JSON-LD]]. If multiple formats are published separately, they should be served from the same URL using content negotiation and made available under separate URIs, distinguished by filename extension. Maintenance of multiple formats is best achieved by generating each available format on the fly based on a single source of the metadata.</li>
<li> when defining machine readable metadata, reusing existing
standard terms and popular vocabularies are strongly
recommended. For example, Dublin Core Metadata (DCMI) terms
[[DC-TERMS]] and Data Catalog Vocabulary [[VOCAB-DCAT]] can
be used to provide descriptive metadata.</li>
</ul>
<aside class="example">
<h5 class="subhead">Human-readable</h5>
<p><a href="dwbp-example.html">Example page</a> with a
human-readable description of an available dataset.</p>
<h5 class="subhead">Machine-readable</h5>
<p><a href="dwbp-example.ttl">Example file</a> with a
machine-readable description of an available dataset.</p>
</aside>
</section>
<section class="test">
<h4 class="subhead">How to Test</h4>
<p>Check if human readable metadata is available.</p>
<p>Check if the metadata is available in a valid machine-readable format and without syntax error.</p>
</section>
<section class="ucr">
<h4 class="subhead">Evidence</h4>
<p><span>Relevant requirements</span>: <a href="http://www.w3.org/TR/dwbp-ucr/#R-MetadataAvailable">R-MetadataAvailable,
</a><a href="http://www.w3.org/TR/dwbp-ucr/#R-MetadataDocum">R-MetadataDocum,
</a><a href="http://www.w3.org/TR/dwbp-ucr/#R-MetadataMachineRead">R-MetadataMachineRead</a></p>
</section>
<section class="benefits">
<h4 class="subhead">Benefits</h4>
<ul class="benefitsList">
<li>Reuse</li>
<li>Comprehension</li>
<li>Discoverability</li>
<li>Processability</li>
</ul>
</section>
</div>
<!-- end of BP -->
<!-- begin Discovery Metadata BP -->
<div class="practice">
<p><span id="DescriptiveMetadata" class="practicelab">Provide
descriptive metadata</span></p>
<p class="practicedesc">Provide metadata that describes the overall features of datasets and distributions.</p>
<section class="axioms">
<h4 class="subhead">Why</h4>
<p>Explicitly providing dataset descriptive information allows user
agents to automatically discover datasets available on the Web and
it allows humans to understand the nature of the dataset and its
distributions. </p>
</section>
<section class="outcome">
<h4 class="subhead">Intended Outcome</h4>
<p>Humans will be able to interpret the nature of the dataset and its distributions, and software agents will be able to automatically discover datasets and distributions.</p>
</section>
<section class="how">
<h4 class="subhead">Possible Approach to Implementation</h4>
<p>Descriptive metadata can include the following overall features
of a dataset:</p>
<ul>
<li>The <strong>title</strong> and a <strong>description</strong>
of the dataset.</li>
<li>The <strong>keywords</strong> describing the dataset. </li>
<li>The <strong>date of publication</strong> of the dataset. </li>
<li> The <strong>entity responsible (publisher)</strong> for
making the dataset available.</li>
<li> The <strong> contact point </strong> for the dataset.</li>
<li> The <strong>spatial coverage </strong> of the dataset.</li>
<li> The <strong> temporal period </strong> that the dataset
covers.</li>
<li> The <strong> themes/categories </strong> covered by a
dataset. </li>
<!--<li>Any <strong>variants</strong> (e.g. different
human-language translations) of data.</li> <li><strong>Access mechanisms</strong> through which the data be accessed (see <a href="#access">Data Access</a>). </li> -->
</ul>
<!-- <p> The information above should be included both in the human
understandable and the machine understandable versions of the metadata. </p> -->
<p>Descriptive metadata can include the following overall features
of a distribution:</p>
<ul>
<li>The <strong>title</strong> and a <strong>description</strong>
of the distribution.</li>
<li>The <strong>date of publication</strong> of the distribution.
</li>
<li>The <strong>media type</strong> of the distribution. </li>
</ul>
<p>The machine readable version of the descriptive metadata can be
provided using the vocabulary recommended by W3C to
describe datasets, i.e. the Data Catalog Vocabulary
[[VOCAB-DCAT]]. This provides a framework in which datasets can be
described as abstract entities. </p>
<!--<p>See also <a href="#AdministrativeMetadata">Provide
Administrative Metadata</a></p> -->
<aside class="example">
<h5 class="subhead">Machine-readable</h5>
<p>The example below shows how to use [[VOCAB-DCAT]] to provide
the machine readable <strong> discovery </strong> metadata for