On December 5-6, 2016, Library and Archives Canada held the Summit on the Value of Libraries, Archives and Museums. At the conclusion of the summit, Librarian and Archivist of Canada, Guy Berthiaume, formerly adopted The Ottawa Declaration:
Gathered in Ottawa for the Taking it to the Streets Summit, members of the library, archival and museum communities commit to find new ways of working together to increase the visibility and impact of memory institutions.
By adopting this Declaration, we commit to continually adapt and reinvent our institutions, and to promote the full value of libraries, archives and museums to Canadians.
Together, we will:
- Increase collaboration between our institutions and our networks at the local and national levels to catalyze new partnerships that spark creativity and enhance engagement;
- Develop innovative programs and services, and adopt technologies that empower us to engage our publics; and
- Enrich and expand access to our collections to ensure that our institutions contribute significantly to the public good and sustainable development.
I don’t see many scholarly articles on this topic. Here’s one, though — ironically, an article on openness, which is not OA. For those of you with access, or who don’t mind paying the access fee, here’s the abstract:
Business models for open data have emerged in response to the economic opportunities presented by the increasing availability of open data. However, scholarly efforts providing elaborations, rigorous analysis and comparison of open data models are very limited. This could be partly attributed to the fact that most discussions on Open Data Business Models (ODBMs) are predominantly in the practice community. This shortcoming has resulted in a growing list of ODBMs which, on closer examination, are not clearly delineated and lack clear value orientation. This has made the understanding of value creation and exploitation mechanisms in existing open data businesses difficult and challenging to transfer. Following the Design Science Research (DSR) tradition, we developed a 6-Value (6-V) business model framework as a design artifact to facilitate the explication and detailed analysis of existing ODBMs in practice. Based on the results from the analysis, we identify business model patterns and emerging core value disciplines for open data businesses. Our results not only help streamline existing ODBMs and help in linking them to the overall business strategy, but could also guide governments in developing the required capabilities to support and sustain the business models.
Access the full article via Government Information Quarterly on Science Direct: http://dx.doi.org/10.1016/j.giq.2016.01.008
Just in case we needed any further evidence that Canadians value the data we collect to support our nation and its citizens, Statistics Canada has announced that the 2016 Census had the highest overall response rate — 98.4! — in recent history.
Here’s a snippet from the StatsCan release:
Canadians’ response to the 2016 long form was simply outstanding. In 2016, the collection response rate for the long form was 97.8 per cent, the best ever recorded. This response rate will enable the provision of high-quality information for virtually all communities.
The 2016 Census also stood out in two other regards: self-response and Internet response. Almost 9 in 10 Canadian households completed their long or short form questionnaire without any assistance from Statistics Canada staff. The rate of 88.8 per cent makes this the most efficient among traditional censuses conducted in the world.
Response rates to individual questions are also high and very uniform throughout the questionnaire, further improving data quality.
As for the Internet response, Canadians delivered a gold medal performance with an Internet response rate of 68.3 per cent, surpassing the ambitious initial objective of 65 per cent and setting yet again another world record.
High rates of self-response and Internet response contribute to both the efficiency of data collection and exceptional data quality.
We should all be very proud! You can read the full release from Statistics Canada here.