Michael Aufreiter michael

Vision

Content providers across all domains (scientific publishing, news, education, books) are facing the very same challenges when it comes to implementing an effective digital publishing workflow. From receiving a manuscript to peer review to publishing many manual steps are necessary. Communication usually happens offline (via email etc.) which is not only costly and time-consuming but also error-prone and intransparent. An ultimate goal would be to create a fully integrated, interactive environment that closes the gap between authors and publishers.

On the authors side we want a document authoring tool available as web-based component as well as local application e.g., for mobile devices,

Hi, I'm Michael. I'm the guy who initiated Substance.io about 3 years ago.

What is Substance?

it's an open source project
the original idea was creating a semantic editor. on the one hand it allows writers to focus only on the content, and on the other hand its easier to process that data automatically.
i realized that there are many fields that could benefit from this approach
really challenging for publishers to implement efficient publishing workflow
much manual work required (submission -> review -> final publication)

	this.getSubjectsTree = function() {
	var subjects = this.getEntities();

	// Build a map of parents referencing their kids
	var map = {};
	_.each(subjects, function(subject) {
	var parent = subject.parent \|\| "root";
	if (!map[parent]) {
	map[parent] = [ subject ];
	} else {

	#menu .toolbar-view .modes {
	float: right;
	height: 50px;
	padding: 10px;
	overflow: hidden;
	}

	#menu .toolbar-view .modes a {
	display: block;
	float: left;

	body {
	background: #F8F8F8;
	}

	body {
	overflow: auto;
	}

	/* Clearfix solution */

	// Example results for an an article relationships service

	module.exports = {
	// Research Advance Usecase
	"http://dx.doi.org/10.7554/eLife.00461": [
	{
	"id": "relationship_1",
	"relationship_type": 'advance',
	"description": 'Building on previous work (Bai et al., 2013), we describe an algorithm that allows cryo-EM structure determination to near-atomic resolution for protein complexes as small as 170 kDa.',
	"creators": [{"name": "Donald Duck", "orcid": "0000-2342-5674-0043"}],

	[
	// source is key-reference of target (experiment)
	{
	id: "key_reference_348989",
	source: "http://dx.doi.org/10.1016/j.immuni.2011.09.013",
	target: "http://dx.doi.org/10.7554/eLife.00778",
	type: 'key_reference',
	key_reference_type: "experiment",
	description: 'A ground breaking experiment can be found here.',
	creators: [],

	// Setup
	// -----------
	//
	// $ npm install substance-article
	// Browser bundle: http://cdn.substance.io/substance-article-0.3.0.js

	var Article = require("substance-article");

	// Create a new article
	var doc = new Article();

	<?xml version="1.0" encoding="UTF-8" standalone="no"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
	<front>
	<journal-meta>
	<journal-id journal-id-type="pmc">F1000Research</journal-id>
	<journal-title-group>
	<journal-title>F1000Research</journal-title>
	</journal-title-group>
	<issn pub-type="epub">2046-1402</issn>
	<publisher>
	<publisher-name>F1000Research</publisher-name>