scholarly journals Fisheries in the Ngāti Kahungunu Rohe, New Zealand

2021 ◽  
Author(s):  
◽  
Kylie Maxwell
Keyword(s):  
New Zealand ◽  
Data Collection ◽  
Fisheries Management ◽  
Geographical Area ◽  
Sustainable Use ◽  
Quality Data ◽  
Quality Of Data ◽  
Fisheries Resources ◽  
Key Species ◽  
Quota Management

<p>To ensure sustainability of fisheries resources, commercial fisheries in New Zealand are monitored by direct control of harvest levels using the Quota Management System. However, there is currently no overall harvest amount for any fishery in New Zealand, which includes harvest amounts across all sectors of fishing: commercial, recreational, customary and other sources of fishing mortality. Having reliable information and data is important when setting and varying harvest levels for each species in each geographical area to ensure the sustainable use of that fishery. This research focuses on the fisheries harvest within Ngāti Kahungnu rohe, between the 2007-2010 fishing years, of 10 key species in New Zealand waters. A variety of different data sources from all sectors, including; commercial, recreational, customary and illegal fishing were used in this research to estimate overall harvest amounts. These estimates are also displayed geographically using heat maps. In order for more reliable estimates of overall harvest to be made there is a need for more consistent data collection between the different fishing sectors, as well as a higher quality of data collection relating to the harvest of fisheries in New Zealand for all sectors of fishing. This research highlights the difficulty of making such estimates and provides an initial template for similar research in other areas around New Zealand. This research also highlights the difficulties faced by Iwi/Māori when attempting to participate in fisheries management. This is not only due to the complexity of fisheries management in New Zealand, with current management and traditional Māori concepts not always aligning, but also the lack of high quality data across all fishing sectors available.</p>

scholarly journals Fisheries in the Ngāti Kahungunu Rohe, New Zealand

2021 ◽  
Author(s):  
◽  
Kylie Maxwell
Keyword(s):  
New Zealand ◽  
Data Collection ◽  
Fisheries Management ◽  
Geographical Area ◽  
Sustainable Use ◽  
Quality Data ◽  
Quality Of Data ◽  
Fisheries Resources ◽  
Key Species ◽  
Quota Management

<p>To ensure sustainability of fisheries resources, commercial fisheries in New Zealand are monitored by direct control of harvest levels using the Quota Management System. However, there is currently no overall harvest amount for any fishery in New Zealand, which includes harvest amounts across all sectors of fishing: commercial, recreational, customary and other sources of fishing mortality. Having reliable information and data is important when setting and varying harvest levels for each species in each geographical area to ensure the sustainable use of that fishery. This research focuses on the fisheries harvest within Ngāti Kahungnu rohe, between the 2007-2010 fishing years, of 10 key species in New Zealand waters. A variety of different data sources from all sectors, including; commercial, recreational, customary and illegal fishing were used in this research to estimate overall harvest amounts. These estimates are also displayed geographically using heat maps. In order for more reliable estimates of overall harvest to be made there is a need for more consistent data collection between the different fishing sectors, as well as a higher quality of data collection relating to the harvest of fisheries in New Zealand for all sectors of fishing. This research highlights the difficulty of making such estimates and provides an initial template for similar research in other areas around New Zealand. This research also highlights the difficulties faced by Iwi/Māori when attempting to participate in fisheries management. This is not only due to the complexity of fisheries management in New Zealand, with current management and traditional Māori concepts not always aligning, but also the lack of high quality data across all fishing sectors available.</p>

scholarly journals Improving Specimen Labelling and Data Collection in Bio-science Research using Mobile and Web Applications

2020 ◽  
Vol 10 (1) ◽  
pp. 1-16
Author(s):  
Isaac Nyabisa Oteyo ◽  
Mary Esther Muyoka Toili
Keyword(s):  
Data Collection ◽  
Web Applications ◽  
Data Entry ◽  
Science Research ◽  
Quality Data ◽  
Quality Of Data ◽  
Data Entry Form ◽  
Research Activities ◽  
Daunting Task

AbstractResearchers in bio-sciences are increasingly harnessing technology to improve processes that were traditionally pegged on pen-and-paper and highly manual. The pen-and-paper approach is used mainly to record and capture data from experiment sites. This method is typically slow and prone to errors. Also, bio-science research activities are often undertaken in remote and distributed locations. Timeliness and quality of data collected are essential. The manual method is slow to collect quality data and relay it in a timely manner. Capturing data manually and relaying it in real time is a daunting task. The data collected has to be associated to respective specimens (objects or plants). In this paper, we seek to improve specimen labelling and data collection guided by the following questions; (1) How can data collection in bio-science research be improved? (2) How can specimen labelling be improved in bio-science research activities? We present WebLog, an application that we prototyped to aid researchers generate specimen labels and collect data from experiment sites. We use the application to convert the object (specimen) identifiers into quick response (QR) codes and use them to label the specimens. Once a specimen label is successfully scanned, the application automatically invokes the data entry form. The collected data is immediately sent to the server in electronic form for analysis.

Conducting Online Healthcare Research With Open-Ended Questions in the Age of COVID-19: A Critical Review

2021 ◽  
pp. RTNP-D-20-00160
Author(s):  
Hyacinth O. Ukuhor
Keyword(s):  
Data Collection ◽  
Internet Use ◽  
Healthcare Research ◽  
Internet Research ◽  
Flow Diagram ◽  
Quality Data ◽  
Future Research ◽  
Online Research ◽  
Methodological Issues ◽  
Quality Of Data

BackgroundWorldwide, there is a remarkable increase in Internet use, with a current penetration rate of 62%. This widespread Internet use and the global coronavirus disease (COVID-19) preventive measures provide opportunities for data collection using the Internet in healthcare research. No recent studies have been conducted regarding the methodological issues of asynchronous Internet research that employed opened-ended questions to explore providers’ and patients’ experiences.PurposeThis study utilizes prior research to explore methodological issues that affect online research using open-ended questions to obtain health data.MethodsThe electronic databases searched were PubMed, CINAHL, and full-text Ovid. Reference lists and the Journal of Medical Internet Research were manually searched. The search strategy was based on the PRISMA flow diagram. Articles published between January 2003 and May 2020 were searched. Inclusion criteria were asynchronous online researcher-led studies that used open-ended questions to explore healthcare issues. Methodological issues were extracted from the selected studies.ResultsThe evidence suggests that factors such as technical/website study/survey design issues, smartphone study applications, use of reminders, incentives, overrecruiting participants, using a combination of asynchronous and synchronous methods, trustworthiness, ethical and security issues affect the quality of data obtained in online health research.Implications for PracticeAsynchronous online research methods with open-ended questions could be used to collect high-quality data from patients, healthcare providers, and other participants in self-isolation, quarantine, and in diverse locations. However, researchers should be aware of the identified methodological issues. Future research could explore methodological issues and data quality in combined asynchronous and synchronous data collection methods.

scholarly journals Let the Data Serve the Patient: Using Big-Scale Data Collection to Improve Small-Scale Patient Interactions

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 156s-156s
Author(s):  
S. Rayne ◽  
J. Meyerowitz ◽  
G. Even-Tov ◽  
H. Rae ◽  
N. Tapela ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Data Collection ◽  
Cancer Care ◽  
Quality Data ◽  
Small Scale ◽  
Information Sheet ◽  
Quality Of Data ◽  
Data Points ◽  
Database Service

Background and context: Breast cancer is one of the most common cancers in most resource-constrained environments worldwide. Although breast awareness has improved, lack of understanding of the diagnosis and management can cause patient anxiety, noncompliance and ultimately may affect survival through compromised or delayed care. South African women attending government hospitals are diverse, with differing levels of income, education and support available. Often there is a lack of access for them to appropriate information for their cancer care. Aim: A novel bioinformatics data management system was conceived through an innovative close collaboration between Wits Biomedical Informatics and Translational Science (Wits-BITS) and academic breast cancer surgeons. The aim was to develop a platform to allow acquisition of epidemiologic data but synchronously convert this into a personalised cancer plan and “take-home” information sheet for the patient. Strategy/Tactics: The concept of a clinician “customer” was used, in which the “currency” in which they rewarded the database service was accurate data. For this payment they received the “product” of an immediate personalised information sheet for their patient. Program/Policy process: A custom software module was developed to generate individualized patient letters containing a mixture of template text and information from the patient's medical record. The letter is populated with the patient's name and where they were seen, and an personalised explanation of the patient's specific cancer stage according to the TNM system. Outcomes: Through a process of continuous use with patient and clinician feedback, the quality of data in the system was improved. Patients enjoyed the personalised information sheet, allowing patient and family to comprehend and be reassured by the management plan. Clinicians found that the quality of the information sheet was instant feedback as to the comprehensiveness of their data input, and thus assured compliance and quality of data points. What was learned: Using a consumer model, through a process of cross-discipline collaboration, where there is normally poor access to appropriate patient information and poor data entry by overburdened clinicians, a low-cost model of high-quality data collection was achieved, in real-time, by clinicians best qualified to input correct data points. Patients also benefitted from participation in a database immediately, through personalised information sheets improving their understanding of their cancer care.

scholarly journals An Indigenous-led Community Challenge to Fisheries Management in New Zealand: the Revival of Regional Scale Management Practices?

2008 ◽  
Vol 14 (4) ◽  
pp. 248 ◽  
Author(s):  
Adele L.H. Whyte ◽  
James J. Bell ◽  
Kristina M. Ramstad ◽  
Jonathan P. A. Gardner
Keyword(s):  
New Zealand ◽  
Fisheries Management ◽  
Management Practices ◽  
Regional Scale ◽  
Sustainable Utilization ◽  
Modern Management ◽  
Fisheries Resources ◽  
Sustainable Exploitation ◽  
The World ◽  
Over Exploitation

Marine, coastal and freshwater fisheries are culturally, ecologically, recreationally and economically important in New Zealand (NZ) and across the world. Over-exploitation of stocks has resulted in declining catches, particularly in the last 50 years, which has signalled the need for strategies to protect these valuable resources, while allowing sustainable exploitation (Pauly 1995; Jackson et. al. 2001; Myers and Worm 2003; Hutchings and Reynolds 2004; Hilborn 2006, 2007). This article outlines an ambitious and novel community-led approach to engage regional stakeholders in local fisheries management, initiated and led by Ng�ti Kahungunu (a M�ori iwi or tribal grouping) in NZ. This initiative is a significant move away from today?s highly centralised national form of fisheries management, and is a step towards a regional form of management that is led by the community for the benefit of the community (e.g., Govan et al. 2006). As such, this proposal represents a challenge to modern management practices, but more importantly it may represent the future for the sustainable utilization of fisheries resources.

scholarly journals Experience with digital entry of national iodine survey data in Senegal

2012 ◽  
Vol 12 (55) ◽  
pp. 6987-7000
Author(s):  
K Siekmans ◽  
◽  
I Ngnié-Teta ◽  
B Ndiaye ◽  
P Bert ◽  
...  
Keyword(s):  
Data Collection ◽  
Survey Data ◽  
Handheld Computers ◽  
Data Capture ◽  
Quality Data ◽  
Personal Digital Assistants ◽  
Health Staff ◽  
Time Data ◽  
Quality Of Data ◽  
Direct Data

There is growing evidence and enthusiasm for the use of technology to enhance accuracy and speed and minimize the costs of quantitative data surveys. Handheld computers have the potential to facilitate high quality data collection and timely analysis for large complex surveys in developing country contexts. The objective of this paper is to document the experience of using handheld computers for direct data capture in a national survey to monitor progress toward universal salt iodization in Senegal. Twenty-five personal digital assistants (PDAs) were programmed and used by five teams across 13 regions for entering data from 3768 households over a period of three weeks. The health staff selected to collect the data learned how to manipulate the PDAs within a short amount of time. The PDAs contributed to improved quality of data collection due to automatic skipping of non-applicable questions and selection of individuals eligible for goitre assessment. The PDAs also were programmed to randomly select one woman and one school-age child within each household for biochemical sample collection. Data on geographic locations were collected for 82% of households surveyed using the PDA’s in-built Global Positioning System (GPS) functionality, which showed the geographical dispersion of these households and which will be used for analysis of results for key indicators by location. Problems with household selection processes, identification coding and standardized interview methods were observed. While costs for printing questionnaires and manual data entry were saved, significant costs were incurred for PDA technical support by an international consultant. The use of PDAs significantly reduced data processing time. Data were stored and downloaded to a central database, with the full dataset and preliminary results available to stakeholders within one week following the survey completion. The PDAs are an excellent tool for enhancing capacity to collect complex household survey data and make it available for analysis in a timely manner. Quality training and adequate pre-testing of questionnaires are still essential. Increased use of direct data capture methods in health program design, monitoring and evaluation is recommended, along with efforts to build local technical capacity.

Tailoring Mobile Data Collection for Intervention Research in a Challenging Context: Development and Implementation in the Malakit Study (Preprint)

2021 ◽  
Author(s):  
Yann Lambert ◽  
Muriel Suzanne Galindo ◽  
Martha Cecilia Suárez-Mutis ◽  
Louise Mutricy ◽  
Alice Sanna ◽  
...  
Keyword(s):  
Information System ◽  
Data Collection ◽  
Monitoring And Evaluation ◽  
R Package ◽  
Quality Data ◽  
Amazon Forest ◽  
Quality Of Data ◽  
Mobile Data ◽  
Mobile Data Collection ◽  
Mining Areas

BACKGROUND An interventional study named Malakit was implemented between 2018 and 2020 to address malaria on gold mining areas in French Guiana, in collaboration with Suriname and Brazil. This innovative intervention relied on the distribution of kits for self-diagnosis and self-treatment to gold miners after training by health mediators, named “facilitators” in the project. OBJECTIVE This paper aims to describe the process by which the information system was designed, developed and implemented to achieve the monitoring and evaluation of the Malakit intervention. METHODS The intervention was implemented in challenging conditions in five cross-border distribution sites which imposed strong logistical constraints for the design of the information system: isolation in the Amazon forest, tropical climate, lack of reliable electricity supply and Internet connection. Additional constraints originated from the interaction of the multicultural players involved in the study. The Malakit information system was developed as a patchwork of existing open-source, commercial services and tools developed in-house. Facilitators collected data from participants using Android tablets with ODK Collect, and sent encrypted form records to Ona when Internet was available. A custom R package (MalakitR) and a dashboard web app were developed to retrieve, decrypt, aggregate, monitor and clean data according to the feedback of facilitators and supervision visits on the field. RESULTS Between April 2018 and March 2020, nine facilitators generated a total of 4,863 form records, corresponding to an average of 202 records per month. Facilitators’ feedback was essential to adapt and improve mobile data collection and monitoring. Few technical issues were reported. The median duration of data capture was five minutes, suggesting that EDC was not overtaking time from participants, and it decreased over the course of the study as facilitators become more experienced. The quality of data collected by facilitators was satisfactory with only 3% of form records requiring correction. CONCLUSIONS The development of the information system for the Malakit project was a source of innovation that mirrored the inventiveness of the intervention itself. Our experience confirms that, even in a challenging environment, it is possible to produce good quality data and evaluate a complex health intervention by carefully adapting tools to field constraints and health mediators’ experience. CLINICALTRIAL ClinicalTrials.gov NCT03695770

Designing Information Product (IP) Maps On the Process of Data Processing and Academic Information

2017 ◽  
Vol 4 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Diana Effendi
Keyword(s):  
Data Quality ◽  
Data Management ◽  
Information Management ◽  
Information Quality ◽  
Quality Data ◽  
Management Approach ◽  
Quality Of Data ◽  
Information Product ◽  
Academic Activities

Information Product Approach (IP Approach) is an information management approach. It can be used to manage product information and data quality analysis. IP-Map can be used by organizations to facilitate the management of knowledge in collecting, storing, maintaining, and using the data in an organized. The  process of data management of academic activities in X University has not yet used the IP approach. X University has not given attention to the management of information quality of its. During this time X University just concern to system applications used to support the automation of data management in the process of academic activities. IP-Map that made in this paper can be used as a basis for analyzing the quality of data and information. By the IP-MAP, X University is expected to know which parts of the process that need improvement in the quality of data and information management.   Index term: IP Approach, IP-Map, information quality, data quality. REFERENCES[1] H. Zhu, S. Madnick, Y. Lee, and R. Wang, “Data and Information Quality Research: Its Evolution and Future,” Working Paper, MIT, USA, 2012.[2] Lee, Yang W; at al, Journey To Data Quality, MIT Press: Cambridge, 2006.[3] L. Al-Hakim, Information Quality Management: Theory and Applications. Idea Group Inc (IGI), 2007.[4] “Access : A semiotic information quality framework: development and comparative analysis : Journal ofInformation Technology.” [Online]. Available: http://www.palgravejournals.com/jit/journal/v20/n2/full/2000038a.html. [Accessed: 18-Sep-2015].[5] Effendi, Diana, Pengukuran Dan Perbaikan Kualitas Data Dan Informasi Di Perguruan Tinggi MenggunakanCALDEA Dan EVAMECAL (Studi Kasus X University), Proceeding Seminar Nasional RESASTEK, 2012, pp.TIG.1-TI-G.6.

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