Mhealth policy conversations in social media are generating lots of data, but what can this tell us about the actors, their networked relationships or their investment in formal policy processes?

The Moving Media  project has been exploring social network analysis of mhealth tagged tweets to better understand the informal policy networks that are developing on Twitter – but we’ve come up with some big questions about the analytical processes we’re using.

So we’d like to start a discussion about some of the challenges of doing SNA and network visualisations with this type of data, including things like:

• The types of tools that DH are using for SNA (Gephi vs Node XL)
• How to slice big data
• How to locate the data across maps
• How to automate the data scraping process
• How to share the data back with the users

We’d also like to know what you’re doing in this space and what discoveries you’ve made.

Paperboy icon, with the permission of the Artist Bradley David Santos www.bradleydavidsantos.net/works%5B/caption%5D

The concept is to be able to search for articles by institutions and find collaborators who are publishing in your searched interests. Three different potential user groups have been considered:
– Prospective students who are searching for institutions to study at
– Academics who want to find collaborators at other institutions.
– Policy and institution-makers who want to look strategically at the published record to inform decisions.

This experimental project was initated at ‘healthhack’ in Melbourne over the weekend.

What was achieved during the weekend is described on the wiki.
github.com/healthhack-melb/wiki/wiki/Paperboy
(N.B, the live demo is being updated this evening. Look at it on Tuesday morning).

Coders, Designers, Analysts want to make stuff during the un-ference and teach some others a little?

Digital humanities data is generally messy. Sometimes it looks like the floor of a teenage bedroom. Before we can analyse the data we need to clean it up and organise it. There are many ways of doing this. One important tool to use is a spreadsheet.

In this session I will run through some basic techniques in Excel that are often used for cleaning up data. This session should be useful for those who are starting out in digital humanities.

It would be good if someone who is proficient with OpenRefine (formerly known as Google Refine) could share this session so participants can get a taste for that tool as well.

I”ve put some simple Excel tips in a document which you can access here.

Geo-located social media provide a unique blend of information about society and place, extending volunteer geographic information models to form crowd-sourced people-centric data platforms. We propose a discussion around the use of geolocated social media in different disciplines.

The SMART Infrastructure Facility, University of Wollongong has developed a suite of tools, based on open software, for Twitter data analysis which we can present to kickstart conversations. It would be great to have some other presenters too.

Geolocated tweets from around Australia

Interesting things we could discuss:

• How can we use geo-located social media to better understand the relationships between people and the urban environment?
• What is the role of social media during emergencies?
• Discussion on the technologies available to capture, analyse and visualise GeoSocial data.

Interested to hear your thoughts – all suggestions welcome!

FAIMS has just returned from the Aegean, after having collected some data with our new mobile tool. We propose an interactive workshop where we explore not only how the FAIMS App works, but general methodologies for collecting data “in the field”.

We also plan to have an interactive discussion on data structures for field data collection, a review of the data we collected, and a general discussion on the difficulties of technology adoption in the humanities. We invite other presenters and audience to this session.

Comment if you’re interested!

Session Proposal

There have been two LODLAM international summits (2011, 2013) and a wide range of projects generating or reusing linked open data in the GLAM (galleries, libraries, archives, museums) and digital humanities realms. Would be great to get in a room and talk and share information about what to do and how to publish linked open data to the cloud or reuse data (from the cloud).

CC BY-NC-SA 2.0 jja69

There are some good examples to look into:

• Linked Jazz – a digital humanities project run out of the Pratt Institute.
• The WWI Collection – a digital library/archives project run out of University of Colorado at Boulder Libraries.
• data.bnf.fr – the provision of collection metadata as linked open data by the Bibliothèque nationale de France.
• data.europeana.eu – a pilot project to provide a subset of the Europeana collection metadata as linked open data.
• Linking History in a Place – a project aggregating collection data related to Canberra led by Culture Victoria and developed by Tim Sherratt (Wragge Labs).