Best practices of neurophysiological data collection for media message evaluation in social campaigns

Abstract Preparing a neurophysiological data set with the aim of sharing and publishing is hard. Many of the available tools and services to provide a smooth workflow for data publication are still in their maturing stages and not well integrated. Also, best practices and concrete examples of how to create a rigorous and complete package of an electrophysiology experiment are still lacking. Given the heterogeneity of the field, such unifying guidelines and processes can only be formulated together as a community effort. One of the goals of the NFDI-Neuro consortium initiative is to build such a community for systems and behavioral neuroscience. NFDI-Neuro aims to address the needs of the community to make data management easier and to tackle these challenges in collaboration with various international initiatives (e.g., INCF, EBRAINS). This will give scientists the opportunity to spend more time analyzing the wealth of electrophysiological data they leverage, rather than dealing with data formats and data integrity.

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Emotional Intelligence a Critical Factor in Organizational Performance

International Journal of Business Strategy and Automation ◽

10.4018/ijbsa.2020100102 ◽

2020 ◽

Vol 1 (4) ◽

pp. 10-39

Author(s):

Neeta Baporikar

Keyword(s):

Data Collection ◽

Best Practices ◽

Organizational Performance ◽

Case Study Research ◽

Critical Factor ◽

Individual Performance ◽

Qualitative Approach ◽

Research Paradigm ◽

Interpretative Research

The objective of this study is to understand how employee EI is a critical factor for improved organizational performance. Adopting a qualitative approach with a case study research design, a sample of 40 employees was selected from the organization; data collection was done through a questionnaire after pilot testing. An analysis is done using SPSS, within an interpretative research paradigm using thematic analyses. Findings reflect that understanding and knowledge on EI and its influence on the performance may add value to the organization as employees become aware of the best practices and contribute better for organizational performance. Further, it was also noted that EI is a significant predictor of job and organizational performance only if it is advocated and spearheaded through individual performance classified into the task and contextual performance.

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Best Practices

Encyclopedia of Social Work ◽

10.1093/acrefore/9780199975839.013.32 ◽

2013 ◽

Cited By ~ 1

Author(s):

Edward J. Mullen ◽

Jennifer L. Bellamy ◽

Sarah E. Bledsoe

Keyword(s):

Quality Improvement ◽

Social Work ◽

Organizational Learning ◽

Data Collection ◽

Best Practices ◽

Organizational Performance ◽

Organizational Management ◽

Quality Data ◽

Management Literature ◽

Systems Quality

This entry describes best practices as these are used in social work. The term best practices originated in the organizational management literature in the context of performance measurement and quality improvement where best practices are defined as the preferred technique or approach for achieving a valued outcome. Identification of best practices requires measurement, benchmarking, and identification of processes that result in better outcomes. The identification of best practices requires that organizations put in place quality data collection systems, quality improvement processes, and methods for analyzing and benchmarking pooled provider data. Through this process, organizational learning and organizational performance can be improved.

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Is Ubiquitous Technology for Needs Data Management a Game Changer in Humanitarian Arena?

International Journal of Information Systems for Crisis Response and Management ◽

10.4018/ijiscram.2019010105 ◽

2019 ◽

Vol 11 (1) ◽

pp. 83-97

Author(s):

Punya Prasad Sapkota ◽

Kashif Siddiqi

Keyword(s):

Climate Change ◽

Data Collection ◽

Best Practices ◽

Data Entry ◽

Humanitarian Assistance ◽

Dynamic Changes ◽

The World ◽

Collection And Management ◽

Over Time ◽

Game Changer

One in every 70 people around the world is caught up in a crisis (natural disasters, conflict, climate change, etc.) and urgently needs humanitarian assistance and protection according to the OCHA. The humanitarian community assists millions of people every year based on emerging humanitarian needs. Most of the time, the conditions inside the countries, once the humanitarian needs data is collected, are not very conducive and required simple ways to collect data like paper-based data collection with simple questions. This data is later entered into a database or spreadsheet using rigorous and time-consuming data entry efforts. Dynamic changes in needs of people; numbers of partners involved; the complexity of evolving processes; and emerging technologies over time has led to a change in processes for data collection and management. This article is an attempt to capture humanitarian data collection best practices and the use of different technologies in managing data to facilitate humanitarian needs assessment processes for the Syria crisis.

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Where do our graduates go? A toolkit for retrospective and ongoing career outcomes data collection for biomedical PhD students and postdoctoral scholars

10.1101/539031 ◽

2019 ◽

Cited By ~ 1

Author(s):

Elizabeth A. Silva ◽

Alicia B. Mejía ◽

Elizabeth S. Watkins

Keyword(s):

Data Collection ◽

Best Practices ◽

Graduate Education ◽

Life Science ◽

Retrospective Studies ◽

Collection Management ◽

Annual Data ◽

Career Outcomes ◽

Call To Action ◽

Postdoctoral Training

Universities are at long last undertaking efforts to collect and disseminate information about student career outcomes, after decades of calls to action. Organizations such as Rescuing Biomedical Research and Future of Research brought this issue to the forefront of graduate education, and the second Future of Biomedical Graduate and Postdoctoral Training conference (FOBGAPT2) featured the collection of career outcomes data in its final recommendations, published in this journal (Hitchcock et al., 2017). More recently, 26 institutions assembled as the Coalition for Next Generation Life Science, committing to ongoing collection and dissemination of career data for both graduate and postdoc alumni. A few individual institutions have shared snapshots of the data in peer-reviewed publications (Mathur et al., 2018; Silva, des Jarlais, Lindstaedt, Rotman, Watkins, 2016) and on websites. As more and more institutions take up this call to action, they will now be looking for tools, protocols, and best practices for ongoing career outcomes data collection, management, and dissemination. Here, we describe UCSF's experiences in conducting a retrospective study, and in institutionalizing a methodology for annual data collection and dissemination. We describe and share all tools we have developed, and we provide calculations of the time and resources required to accomplish both retrospective studies and annual updates. We also include broader recommendations for implementation at your own institutions, increasing the feasibility of this endeavor.

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Standards and Best Practices for Monitoring and Benchmarking Insects

Frontiers in Ecology and Evolution ◽

10.3389/fevo.2020.579193 ◽

2021 ◽

Vol 8 ◽

Author(s):

Graham A. Montgomery ◽

Michael W. Belitz ◽

Rob P. Guralnick ◽

Morgan W. Tingley

Keyword(s):

Data Collection ◽

Best Practices ◽

National Parks ◽

Light Trapping ◽

Rapid Change ◽

Monitoring Methods ◽

Spatial And Temporal Scales ◽

Ecological Responses ◽

Insect Populations ◽

Insect Monitoring

Benchmark studies of insect populations are increasingly relevant and needed amid accelerating concern about insect trends in the Anthropocene. The growing recognition that insect populations may be in decline has given rise to a renewed call for insect population monitoring by scientists, and a desire from the broader public to participate in insect surveys. However, due to the immense diversity of insects and a vast assortment of data collection methods, there is a general lack of standardization in insect monitoring methods, such that a sudden and unplanned expansion of data collection may fail to meet its ecological potential or conservation needs without a coordinated focus on standards and best practices. To begin to address this problem, we provide simple guidelines for maximizing return on proven inventory methods that will provide insect benchmarking data suitable for a variety of ecological responses, including occurrence and distribution, phenology, abundance and biomass, and diversity and species composition. To track these responses, we present seven primary insect sampling methods—malaise trapping, light trapping, pan trapping, pitfall trappings, beating sheets, acoustic monitoring, and active visual surveys—and recommend standards while highlighting examples of model programs. For each method, we discuss key topics such as recommended spatial and temporal scales of sampling, important metadata to track, and degree of replication needed to produce rigorous estimates of ecological responses. We additionally suggest protocols for scalable insect monitoring, from backyards to national parks. Overall, we aim to compile a resource that can be used by diverse individuals and organizations seeking to initiate or improve insect monitoring programs in this era of rapid change.

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Testing Social Media Water Conservation Messages that Convey Extension Evaluation Results

Journal of Extension ◽

10.34068/joe.59.02.12 ◽

2021 ◽

Author(s):

Laura Warner ◽

Colby Silvert ◽

Jamie Loizzo ◽

Jarred Shellhouse

Keyword(s):

Social Media ◽

Best Practices ◽

Water Conservation ◽

Message Framing ◽

Media Environment ◽

Message Frame ◽

Extension Professionals ◽

Media Message ◽

Extension Evaluation ◽

Outcome Metrics

In this study, we tested frames Extension professionals could use to promote residential water conservation through social media. We randomly assigned Florida residents to view one of six visual messages with water conservation facts or stories and then measured willingness to engage with education programs and conservation behaviors. There were clear differences in message frame performance, but better performance was highly dependent on outcome metrics used. Therefore, we were unable to identify a preferred frame. These findings need to be further examined in an authentic social media environment to inform best practices in social media message framing for Extension professionals.

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Narratives: fMRI data for evaluating models of naturalistic language comprehension

10.1101/2020.12.23.424091 ◽

2020 ◽

Author(s):

Samuel A. Nastase ◽

Yun-Fei Liu ◽

Hanna Hillman ◽

Asieh Zadbood ◽

Liat Hasenfratz ◽

...

Keyword(s):

Data Collection ◽

Best Practices ◽

Functional Mri ◽

Language Comprehension ◽

Human Subjects ◽

Narrative Comprehension ◽

Fmri Data ◽

Word Level

AbstractThe “Narratives” collection aggregates a variety of functional MRI datasets collected while human subjects listened to naturalistic spoken stories. The current release includes 345 subjects, 891 functional scans, and 27 diverse stories of varying duration totaling ~4.6 hours of unique stimuli (~43,000 words). This data collection is well-suited for naturalistic neuroimaging analysis, and is intended to serve as a benchmark for models of language and narrative comprehension. We provide standardized MRI data accompanied by rich metadata, preprocessed versions of the data ready for immediate use, and the spoken story stimuli with time-stamped phoneme- and word-level transcripts. All code and data are publicly available with full provenance in keeping with current best practices in transparent and reproducible neuroimaging.

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