Canadian Association for Information Science (CAIS) 2018 Conference
May 30, 2018 June 1, 2018
Theme: Diversities on the data landscape: connecting information science with data studies
We currently witness the impacts of data on people’s lives, and on libraries, archives, other information organizations, and the scholarly communication process. The creation and availability of large volumes of data pose new opportunities as well as challenges for information science researchers and practitioners. Digital data influence a range of disciplines, domains, users, information sources, services, and businesses. Disciplinary and institutional repositories, digital archives, and digital libraries provide new research platforms for addressing ethical, epistemological, social, cultural, political, and linguistic issues. At the same time, the proliferation of data requires information science researchers and practitioners to critically investigate methodologies, approaches, theories, technologies, and pedagogies with data in mind.
In keeping with the Congress 2018 theme of “Gathering Diversities,” “data” is conceived broadly to include research data, big data, digital data, open data, qualitative data, and emerging or less predominant types of data. CAIS/ACSI welcomes wide-ranging ideas, perspectives, and scholarship. Key questions include the following.
Methodological and theoretical frameworks
- How can information science theoretical frameworks, research methodologies, and approaches inform and contribute to the study of data?
- What are some of the common and unique areas of research and practice between data and information science? What opportunities do data present for innovative interdisciplinary research and practice?
- What epistemological and critical considerations must be taken into account in considering data in information science?
- How are data involved in people’s information behaviours, practices, and experiences?
Technological and practice implications
- How are researchers and practitioners addressing opportunities and challenges around data such as digital literacy and data literacy, privacy, copyright, ownership, and confidentiality?
- What technological innovations and approaches support effective data management, including data mining and analytics, visualization, curation, archiving, preservation, citation, sharing, discovery, and interoperability?
Ethical, educational, and social considerations
- How might researchers and practitioners effectively bring an information ethics perspective to the collection, use, and analysis of data? What responsibilities do we have to advocate for open and equitable access to data?
- How are data and their associated opportunities and challenges being incorporated into Canadian LIS education? What skills and knowledge do new practitioners need in relation to data?
- How do the collection and use of data reflect or enable diversity within communities and among perspectives, representations, and interpretations? What responsibilities do information researchers and practitioners have to advocate for diversity and inclusion in this domain? How do we do so effectively?