“In my previous life as an academic, I always liked interdisciplinary work: to come at things from a slightly sideways perspective. But in this area, I get to encounter more than most people do – collections, ideas, researchers, people, stories … I get to discover everything from every different area of knowledge, from lots of different perspectives. The data itself is obviously really interesting but it’s what goes into the creation of that data, and what people then do with that data – that’s what’s really fascinating to me.
When people ask me, ‘What do you do?’, I’m still not sure how best to describe it. Whenever someone asks, I give a different answer, but it doesn’t actually capture what the day-to-day work is about, which is the exchange of social and cultural knowledge. I think that’s the most appealing thing to me. There’s always something new to find out about, and this central thing that we call ‘data’ is a conduit into discovery of all kinds of stories and narratives. It’s a window into lots of different worlds.”
I’m not a data scientist but I know how to read and fiddle with code. This is what drives me – I want to understand and know something practically, not just by reading about it but by getting first-hand experience in collecting data, doing things with it, manipulation. I enjoy this and find it valuable. I do theory about data practice, so I’m interested in asking what data does to knowledge practices, but I’m looking at it as a philosopher rather than anything else. I’m interested in how data can be used to tell stories, but want to take this one step further. How do we use data to make arguments? I’m interested in how we can move to a critical way of looking at argumentation – how we can use data as evidence, to convince, to tell stories. I’m asking what is ‘good enough’ knowledge, what is ‘responsible’ knowledge, what is ‘valuable’ knowledge? What are the ethical considerations about data when we use it to make decisions?
“Still, I’m inspired by the fact that the field is cross-disciplinary. To be able to talk about digital preservation in a holistic way you need data producers and data consumers including people from information sciences, library scientists and researchers. With every domain we need to understand a whole new idea of how data is produced and consumed and the use cases for the value of data. It never gets boring. There will always be work. And if I have a question about a file format or metadata problem I can ask colleagues in New Zealand or the States or Scotland or the Netherlands and they know what I’m talking about. I love that. To me it’s like a cool kids’ domain!”
“Digital preservation is a perfect field because it unites two things I’m passionate about: humanities and IT. I can work on a framework to keep the data for future generations. It’s always been important to do that whether the data is analogue or not. Data presents evidence, evidence that’s subject to story telling and interpretation. It opens up unlimited possibilities. If you want to understand how a community ticked at a certain time, literature gives you a representation of the time, of what moved people. Data that we create today can do the same thing.
Data can be literature, poetry, art or factual experimentation. It’s not just an output of research; it’s an output of creativity and of our life today. Sometimes we forget that.
But we should spend more time talking about what works and what doesn’t work. We need to not always invent new models, but apply a model and see what happens – to use models and tools to curate and treat our data, and then it’s very important to look at these tools critically. And to improve them. There’s a lot of great output that has come out of projects but does anyone use it? There’s a gap in implementation. And funding’s becoming scarcer, so we need to find more effective ways to make tools sustainable and useable for the user communities. It’s frustrating.”
“I work in a university library but was trained as an engineer. When I was doing my PhD, my advisor claimed engineering was a liberal art, which I didn’t understand then but I get it now: statistics and computation are all methods. You need to think about people, products and processes, and the workflows that connect them. So I brought that to library world and the research data management world, and it’s definitely an interesting space for people, products, processes and workflows.
I’ve always felt very welcome in this community. When I came I didn’t have the Library and Information Sciences degree or the background training but even in the early stages of my interaction, the community was very open, welcoming and accepting. I try to return that to anyone who is new.
I hope we continue those positive trends in diversity and inclusion. There seems to be more awareness now about that but I think we’ve all been to that panel where you think, ‘Hmm, this isn’t right – everyone there looks the same.’ It’s frustrating when those more formal channels of conferences, things like panels, sometimes aren’t reflective of who’s in the audience. So here, in research data, it’s a healthy community in many ways but we can always look at what can be done better.”
“Brené Brown, the social scientist, said that stories are data with a soul. I think about that a lot in the work I do. I’m passionate about it. When I meet the most engaging researchers, they’re good storytellers. Data are ways to connect with stories – data are the underlying content that researchers are sharing through their stories. I’m keen on preserving those stories, sharing those stories, now and in the future.
Particularly now, we’re in an unfortunate situation in the United States where things we had taken for granted – trust and integrity of information – are being questioned. And we’re seeing such an emerging problem with tribalism, where people in their bubbles only talk to each other.
Data are a way we can span between different communities, different tribes, different people. We do that already in the research space, I think, but I hope that by continuing our work in data, we can help to deal with this tribalism issue.”
“I wonder whether any ethics are applied in collection of samples of Ebola and HIV/AIDS in emergency situations. When I talk to doctors about it, they are aware that some researchers from the developed world provide expertise and fund research in pandemic situations. But there are issues on data collection ethics based on informed consent by subjects that deserve scrutiny, given the emergency situations and language barriers under which data is collected. Are there Memoranda of Understanding between African governments and researchers under these conditions? There is a need for transparency and openness. Given the extensive ethical regulations for research on human subjects in the developed world, African countries – which are prone to pandemic disease problems – must engage in the discourse on ethics of data collected under the unique situations that they experience.
It’s the same in the humanities and social sciences: researchers come and take and go. It is rare for research projects to include funding in the initial project proposal for reporting back to the subjects of the research. In Botswana, there was a national scan for indigenous knowledge. We were promised there would be a report back [to the community], but the [research team] never came back. And then researchers are surprised that participants don’t trust them!
Colonialism was first about land resources. Now, without open access, globalisation of research may become the next wave of colonisation. Lower and middle income country researchers need to engage in open debates among themselves on the ownership of data, and how to develop collaboration from collection to analysis with a view to facilitating shared benefits and innovative re-use. Only in this way will the issues of intellectual property rights be negotiated in an equal exchange. All researchers – but especially Africa’s researchers – should reflect on the necessary policy and regulatory frameworks that should be negotiated with local institutions and national governments, as part of their intellectual contributions to evidence-based solutions and sustainable development.
Openness is about exposing your strengths and weaknesses. No one should be intimidated that some have more money. Others have ideas.”
“I’m very passionate about open science. From where I stand in the context of Africa, there’s so much data we create in government, universities or communities. But at the moment, data, which is the base for reports and provides evidence for government decisions, is not accessible to all except the researcher and specialist research reference committees. The Botswana Government has a closed research culture, as does the local research community within the academic and private sector circles. As a librarian, that has always been my concern. When work is done in that way, you find that the resultant data is archived and owned by the funding authority.
The current system is dysfunctional due to a lack of regulatory mechanisms, appropriate follow-up processes and systems for creating national open databases. Without reliable databases for research reports, research data cannot be open or accessible.”
“My background is in the political and social sciences, and I can connect with a lot of the ethical issues, the equality issues, making data sharing genuinely equal here and in other countries – that’s important to me.
I get a kick out of helping researchers. Working in a library context I was helping a student find an article they needed. Now I can sit down with a researcher and provide reassurance on their data management plan and that’s important too.
Having enough technical knowledge so that you can understand what’s going on, and also using liaison skills – I really like that combination. There’s a whole community at the university that is interested in open data, there are all these people who are really excited about it. I’m excited because there’s a community who is excited about the same things I am. It’s good that everyone’s still working out solutions for data sharing; you want to help build these resources, and a culture change.
But in the social sciences and humanities, we need to recognise we actually have data. There needs to be a default to open, which relies upon a change in culture and policy. We can archive some of these datasets through liaison with young researchers and learning how researchers work. Young researchers are going to be sustaining the effort, but this needs everyone’s participation.”
“Science is about discovering that things aren’t as you expected. The more I learn, the more I realise I don’t know. One of the fun things about what I do just now is that I get to see a lot of different research communities and how they conceive of and represent data, and what data mean to them.
There are really a lot of different discipline-oriented communities. I come from a domain repository – we just called it a data center – and for me, it’s interesting coming from that environment as opposed to the library, institution, repository, or iSchool environments, who are dealing with very similar issues and approaching them with different perspectives.
I do think in some areas there is emerging consensus and that’s exciting to see. The very fact that everyone accepts PIDs on data, that’s almost universal, we might argue about which one, but the strong consensus is that there should be something. We’re seeing greater convergence about metadata standards, too, particularly in my field. I think we’re getting better at listening to each other from different domains – historians and ecologists discover they have the same data problems. This makes them feel they’re not alone but also that their problems are generic and can have common solutions. There is a community. When I first started at a data center 25 years ago, I’d be the data person at science conferences. That’s not the way it works any more.
We are in dire times just now. We seem to be in an age of growing authoritarianism, and some people are trying to pretend there isn’t evidential knowledge. This makes research all the more important. Data sharing, open knowledge, open data, it’s more important than it’s ever been.