title: Complex belemnites of the Puaroan (lower-? middle Tithonian) stage in the Port Waikato Region of New Zealand

authors: Challinor, A.B.

abstract: Belemnite guards range through 2700 feet of Puaroan strata in the Port Waikato region. All are Belemnopsis of the uhligi-complex. Belemnopsis aucklandica aucklandica (Hochstetter) in its most typical form may be restricted to the lower 700 feet of the sequence. Three species are described, together with what may be transitional forms. The morphology of juvenile guards is in marked contrast with that of mature specimens, and development of the adult guard is revealed by examination of internal sections. Some aspects of belemnite paleoecology are discussed. Belemnite biostratigraphy of the area is outlined and the more important fossil localities are described.

text: Complex belemnites of the Puaroan (lower-? middle Tithonian) stage in the Port Waikato Region of New Zealand Belemnite guards range through 2700 feet of Puaroan strata in the Port Waikato region. All are Belemnopsis of the uhligi-complex. Belemnopsis aucklandica aucklandica (Hochstetter) in its most typical form may be restricted to the lower 700 feet of the sequence. Three species are described, together with what may be transitional forms. The morphology of juvenile guards is in marked contrast with that of mature specimens, and development of the adult guard is revealed by examination of internal sections. Some aspects of belemnite paleoecology are discussed. Belemnite biostratigraphy of the area is outlined and the more important fossil localities are described.

year: 1970

title: Progger: an efficient, tamper-evident kernel-space logger for cloud data provenance tracking

authors: Ko, Ryan K.L.

abstract: Cloud data provenance, or "what has happened to my data in the cloud", is a critical data security component which addresses pressing data accountability and data governance issues in cloud computing systems. In this paper, we present Progger (Provenance Logger), a kernel-space logger which potentially empowers all cloud stakeholders to trace their data. Logging from the kernel space empowers security analysts to collect provenance from the lowest possible atomic data actions, and enables several higher-level tools to be built for effective end-to-end tracking of data provenance. Within the last few years, there has been an increasing number of proposed kernel space provenance tools but they faced several critical data security and integrity problems. Some of these prior tools' limitations include (1) the inability to provide log tamper-evidence and prevention of fake/manual entries, (2) accurate and granular timestamp synchronisation across several machines, (3) log space requirements and growth, and (4) the efficient logging of root usage of the system. Progger has resolved all these critical issues, and as such, provides high assurance of data security and data activity audit. With this in mind, the paper will discuss these elements of high-assurance cloud data provenance, describe the design of Progger and its efficiency, and present compelling results which paves the way for Progger being a foundation tool used for data activity tracking across all cloud systems.

text: Progger: an efficient, tamper-evident kernel-space logger for cloud data provenance tracking Cloud data provenance, or "what has happened to my data in the cloud", is a critical data security component which addresses pressing data accountability and data governance issues in cloud computing systems. In this paper, we present Progger (Provenance Logger), a kernel-space logger which potentially empowers all cloud stakeholders to trace their data. Logging from the kernel space empowers security analysts to collect provenance from the lowest possible atomic data actions, and enables several higher-level tools to be built for effective end-to-end tracking of data provenance. Within the last few years, there has been an increasing number of proposed kernel space provenance tools but they faced several critical data security and integrity problems. Some of these prior tools' limitations include (1) the inability to provide log tamper-evidence and prevention of fake/manual entries, (2) accurate and granular timestamp synchronisation across several machines, (3) log space requirements and growth, and (4) the efficient logging of root usage of the system. Progger has resolved all these critical issues, and as such, provides high assurance of data security and data activity audit. With this in mind, the paper will discuss these elements of high-assurance cloud data provenance, describe the design of Progger and its efficiency, and present compelling results which paves the way for Progger being a foundation tool used for data activity tracking across all cloud systems.

year: 2014

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