One of the best bits of working in digital scholarship is the variety of learning, training and knowledge exchange we can participate in. I have come to my post as a Wikimedian with a background in digital humanities and voluntary experience, and the opportunity to solidify my skills through training courses is really exciting.
Shortly after I started at the library, I had the chance to participate in the Library Juice Academy’s course ‘Introduction to Metadata’. Metadata has always fascinated me: as someone who can still remember when the internet was installed in their house, by means of numerous AOL compact discs, the way digital information has developed is something I have had direct experience of, even if I didn’t realise it.
Metadata, simply put, is data about data. It tells us information about resource you might find in a library or museum: the author of a book, the composer of a song, the artist behind a painting. In analogue terms, this is like the title page in a novel. In digital terms, it sits alongside the content of the resource, in attached records or headers. In the Dublin Core Metadata Initiative format, one of the most common ways of expressing metadata, there are fifteen separate ‘elements’ you can apply to describe a resource, such as title, date, format and publisher.
Wikidata houses an amazing amount of data, which is unusual as it is not bounded by a set number of ‘elements’. There are many different ways of describing the items on Wikidata, and many properties and statements can be added to each item. There have been initiatives to integrate Wikidata and metadata in a meaningful way, such as the WikiProject Source Metadata and WikiCite. I have certainly found it very useful to have a sound understanding of metadata and its function, in order to utilise Wikidata effectively.
The Library Juice Academy course was asynchronous and highly useful. Over four weeks, we completed modules involving self-selected readings, discussion forum posts and video seminars. I particularly enjoyed the varied selection of readings: the group of participants came from a breadth of backgrounds and experiences, and the readings reflected this. The balance between theoretical reading and practical application was excellent, and I enjoyed getting to work with MARCEdit for the first time.
I completed the course in May 2021, and was delighted to receive my certificate by email. I have a much stronger handle on the professional standard of metadata in the GLAM sector and how this intersects with the potential of the vast array of data descriptors available in Wikidata. It was also a great opportunity to think about the room for nuance, subjectivity and bias in data. During Week One, we considered ‘Misinformation and Bias in Data Processing’ by Thornburg and Oskins. I said the following in our forum discussion:
“What I have taken from this piece is a real sense of the hard work that goes into the preparation of resources, and the many different forms bias can take, often inadvertently. It has made me think about and appreciate the difficult decisions that have to be made, and the processes that underlie these practices.”
Overall, participating in this course and expanding my skills into more traditional librarianship fields was fascinating, and left me eager to learn more about metadata and start working more closely with our collections and Wikidata.