title: Document DNA: Distributed Content-Centered Provenance Data Tracking

authors: Rinck, Michael

subjects: Provenance Data

abstract: This thesis presents a new content-centered approach to provenance data tracking: the Document DNA. 

Knowledge workers are overwhelmed as they find it hard to structure, maintain, and find re-used content within their digital workspace. This issue is aggravated by the growing amount of digital data knowledge workers need to maintain.

This thesis introduces a concept for tracing the evolution of text-based content across documents in the digital work space, without the need for a centralized tracking system. Our concept is inspired by the DNA common to life forms.

We present an analysis and comparison of research undertaken to support knowledge workers and review provenance data tracking systems. Provenance data has been used for data security, databases and to track knowledge workers' interactions with digital content. However, very little research is available on the usefulness of provenance data for knowledge workers. Furthermore, current provenance data research is based on central systems and tracks provenance at the file level.

We conducted three user studies to explore current issues knowledge workers face when working with digital content. The first study examined current knowledge workers' problems when re-using digital content. The second study examined to what extend the issues detected in our first study are addressed by document management systems. We found that document management systems do not fully address these issues, and that not all knowledge workers make use of the document management system available to them. The third study examined reasons for low user saturation of available document management systems. As a result of these three studies we identified task categories and a variety of related issues.

Driven by these findings, we developed a conceptual model for Document DNA, which tracks the provenance of data used in the identified tasks. To show the effectiveness of our approach, we created a software prototype and conducted a realistic user study. Our software prototype is a Microsoft Word Add-In that tracks the evolution of content included in Microsoft Word documents. In our final user study, participants executed example tasks gathered from real knowledge workers with and without the support of our software prototype. The results of our study confirm that the Document DNA successfully addresses the issues identified. The participants were significantly faster when performing the tasks using the software prototype; most participants using traditional methods failed to identify the provenance of the data, whereas the majority of participants using the software prototype succeeded.

text: Document DNA: Distributed Content-Centered Provenance Data Tracking This thesis presents a new content-centered approach to provenance data tracking: the Document DNA. 

Knowledge workers are overwhelmed as they find it hard to structure, maintain, and find re-used content within their digital workspace. This issue is aggravated by the growing amount of digital data knowledge workers need to maintain.

This thesis introduces a concept for tracing the evolution of text-based content across documents in the digital work space, without the need for a centralized tracking system. Our concept is inspired by the DNA common to life forms.

We present an analysis and comparison of research undertaken to support knowledge workers and review provenance data tracking systems. Provenance data has been used for data security, databases and to track knowledge workers' interactions with digital content. However, very little research is available on the usefulness of provenance data for knowledge workers. Furthermore, current provenance data research is based on central systems and tracks provenance at the file level.

We conducted three user studies to explore current issues knowledge workers face when working with digital content. The first study examined current knowledge workers' problems when re-using digital content. The second study examined to what extend the issues detected in our first study are addressed by document management systems. We found that document management systems do not fully address these issues, and that not all knowledge workers make use of the document management system available to them. The third study examined reasons for low user saturation of available document management systems. As a result of these three studies we identified task categories and a variety of related issues.

Driven by these findings, we developed a conceptual model for Document DNA, which tracks the provenance of data used in the identified tasks. To show the effectiveness of our approach, we created a software prototype and conducted a realistic user study. Our software prototype is a Microsoft Word Add-In that tracks the evolution of content included in Microsoft Word documents. In our final user study, participants executed example tasks gathered from real knowledge workers with and without the support of our software prototype. The results of our study confirm that the Document DNA successfully addresses the issues identified. The participants were significantly faster when performing the tasks using the software prototype; most participants using traditional methods failed to identify the provenance of the data, whereas the majority of participants using the software prototype succeeded.

year: 2015

title: Alum dosing at Waitangi Soda Springs – bioavailability of aluminium in 2016

authors: Ling, Nicholas

abstract: Continuous alum dosing of the Waitangi Soda Springs at Lake Rotoehu commenced in 2010 to reduce inflows of dissolved reactive phosphorus to Lake Rotoehu. Analyses of bioaccumulation in the tissues of kōura and goldfish from Lake Rotoehu were undertaken on animals collected in November 2016 for comparison with data from previous years and control locations to determine the bioavailability and bioaccumulation of aluminium to satisfy annual resource consent conditions 11.7 and 11.8 of resource consent 65966. Lake Rotoehu goldfish showed slightly elevated aluminium concentrations in the gills indicating enhanced exposure to aluminium as a result of alum discharge from the Waitangi Soda Springs but no evidence of significant bioaccumulation in internal tissues.

text: Alum dosing at Waitangi Soda Springs – bioavailability of aluminium in 2016 Continuous alum dosing of the Waitangi Soda Springs at Lake Rotoehu commenced in 2010 to reduce inflows of dissolved reactive phosphorus to Lake Rotoehu. Analyses of bioaccumulation in the tissues of kōura and goldfish from Lake Rotoehu were undertaken on animals collected in November 2016 for comparison with data from previous years and control locations to determine the bioavailability and bioaccumulation of aluminium to satisfy annual resource consent conditions 11.7 and 11.8 of resource consent 65966. Lake Rotoehu goldfish showed slightly elevated aluminium concentrations in the gills indicating enhanced exposure to aluminium as a result of alum discharge from the Waitangi Soda Springs but no evidence of significant bioaccumulation in internal tissues.

year: 2017

title: Final report of the 2018 Census External Data Quality Panel

authors: Bedford, Richard

abstract: At the time this report was submitted for publication in January 2020, Stats NZ was finalizing its release schedule for census products that allow users to produce their own tabulations and statistical analyses using census data (see Appendix 2 for a summary of release dates for 2018 Census products).
In early 2020, Stats NZ will release 2018 Census data for use in the Data Lab, a distributed set of secure computer sites where users can access, with approval, microdata for research purposes. By March 2020, 2018 Census data will be in the Integrated Data Infrastructure (IDI) and available for use by approved researchers and policy analysts who wish to negotiate access to the IDI.

text: Final report of the 2018 Census External Data Quality Panel At the time this report was submitted for publication in January 2020, Stats NZ was finalizing its release schedule for census products that allow users to produce their own tabulations and statistical analyses using census data (see Appendix 2 for a summary of release dates for 2018 Census products).
In early 2020, Stats NZ will release 2018 Census data for use in the Data Lab, a distributed set of secure computer sites where users can access, with approval, microdata for research purposes. By March 2020, 2018 Census data will be in the Integrated Data Infrastructure (IDI) and available for use by approved researchers and policy analysts who wish to negotiate access to the IDI.

year: 2020