Day two of VALA I spent listening to presentations and participating in boot camps that were distinctly ‘geek’. After chatting with so many wonderful people in the bootcamps, sharing ideas and problems, I feel I got the most out of VALA on this day.

At Lianza stall VALA
At the LIANZA stall

Valentine Charles with building a framework for semantic cultural heritage data regaled us with a familiar story about the challenges of joining together collections, that followed different metadata standards and naming conventions, into a single unified digital collection. Valentine then shared the European Data Model (EDM) framework that Europeana created to solve this problem. Though, EDM allowed Europeana to link data easily and it provided their associates with reusable data models Valentine acknowledges that her work is still not finished.

EDM_1
All the standards Europeana dealt with in creating their EDM

For such a technical talk first thing in the morning, Valentine did a wonderful job of explaining EDM, the semantic web and linked data principles as they applied to her project at Europeana.

We wanted a framework that was usable, mutual and reliable

Europeana GitHub  I Europeana Data Model Documentation


Ingrid Mason with linked open data and Australian GLAM told us of the VALA Travel Scholarship she won and the resulting travel. She investigated change, metadata standards and linked data initiatives in various organisations. Ingrid revealed there for four common phases she noticed within all the organisations undertaking a linked data change: assessment, experimentation, production, evaluation.

Organisations undertaking linked open data initiatives: BNF, Europeana Labs, DPLA   I   Linked Open Data


By the end of Hugh Rundle’s presentation with building a richly-featured library management platform that puts patron privacy first, using Meteor and Mylar I was reminded that librarians are the greatest threat to patron privacy. The following crash-course in data encryption that Hugh provided had me considering how I would build a system which protects privacy, but shares data.

Mylar   I   Meteor


Arianna Betti and company with GlamMapping Trove demonstrated their data visualisation software and all the improvements they had made since last VALA. The improvements were impressive enough. But the current challenge GlamMap took of visualising 7000 Trove records on a world map based on place of publication and overplayed by year I found super impressive! Based on their experiences with Trove data sets GlamMap’s future challenges will be filtering on big data sets, faster clustering, improved geocoding.

Visual Data
Why visualising our data is a smart move

GlamMap   I   GeoNames


Pru Mitchell and company with introducing an automated subject classifier explained why they automated this process and the troubles they encountered along the way. What I found most interesting is that a small team of indexers are still necessary so that new terms get included in the automation system.

ACER   I   Revolutionising digital content ingest


The second VALA round table session discussed professional development where the revealed that they were implementing a new professional development scheme for New Zealand professionals. It was also good to hear that more people are considering informal social media groups as helpful personal learning networks.

VALA2016
Members of the VALA round table panel

I didn’t get to stay for all of Kevin Ford’s presentation with there’s an ambiguous road sign that reads Bibframe and a fork in the road. Do you take it? But I do recall consideration for killing off MARC with Bibframe and making it a zombie that will take over the world with ultimate information control… or maybe that was all in my head?

Bibframe tl;dr SEO + Metadata OG tags?


Conclusion: I need to find more “geek speak” conversations to join for my own professional development because clearly I find them very interesting!

Till next time!
DFTBA (Dont Forget to be Awesome)

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