Journal articles: 'Data submission'

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Is dahlia, Laely Fitri, Andriansyah Zakaria, and Dwi Novia Prasetyanti. "Pemanfaatan Teknologi Informasi untuk Peningkatan Pelayanan pada UPT TIK Politeknik Negeri Cilacap." Journal of Innovation Information Technology and Application (JINITA) 4, no. 1 (2022): 1–11. http://dx.doi.org/10.35970/jinita.v4i1.840.

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UPT Teknologi Informasi dan Komunikasi (UPT TIK) is a technical implementing unit that provides information and communication technology services for the academic community at the Cilacap State Polytechnic. At UPT TIK has services such as email submission, subdomain and website submission, installation submission and network disturbance submission. In the management of UPT TIK, there are problems, including the lack of information about standard operating procedures, the head of UPT TIK finds it difficult to collect data because users are still doing it via telephone, users have difficulty monitoring submissions, forms that are paper based so that data loss occurs every year approximately 5 sheets and storage takes up a lot of space. At UPT TIK there are problems, so there is a need for a system that overcomes these problems, so the UPT TIK information system was developed which aims to assist the submission process, manage data submissions, and monitor submissions. This web-based system was developed using the RAD method because this method is very short work and is designed from the results of user responses with existing prototypes. In addition, the RAD method consists of the requirements planning stage, RAD design workshop, and implementation. The output of this system is the submission process is better controlled, users can monitor submissions and file management can be properly archived. From the results of the questionnaire data analysis with 20 respondents, it was found that 1% disagreed, 8% disagreed, 81% agreed and 10% stated strongly agree that this system is said to be successful in helping improve services at UPT TIK

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Gruenstaeudl, Michael. "annonex2embl: automatic preparation of annotated DNA sequences for bulk submissions to ENA." Bioinformatics 36, no. 12 (2020): 3841–48. http://dx.doi.org/10.1093/bioinformatics/btaa209.

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Abstract Motivation The submission of annotated sequence data to public sequence databases constitutes a central pillar in biological research. The surge of novel DNA sequences awaiting database submission due to the application of next-generation sequencing has increased the need for software tools that facilitate bulk submissions. This need has yet to be met with the concurrent development of tools to automate the preparatory work preceding such submissions. Results The author introduce annonex2embl, a Python package that automates the preparation of complete sequence flatfiles for large-scale sequence submissions to the European Nucleotide Archive. The tool enables the conversion of DNA sequence alignments that are co-supplied with sequence annotations and metadata to submission-ready flatfiles. Among other features, the software automatically accounts for length differences among the input sequences while maintaining correct annotations, automatically interlaces metadata to each record and displays a design suitable for easy integration into bioinformatic workflows. As proof of its utility, annonex2embl is employed in preparing a dataset of more than 1500 fungal DNA sequences for database submission. Availability and implementation annonex2embl is freely available via the Python package index at http://pypi.python.org/pypi/annonex2embl. Supplementary information Supplementary data are available at Bioinformatics online.

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O’Callaghan, Joan, Lesley Tilson, Roisin Adams, and Laura McCullagh. "OP72 Patient Organization Submissions Made To A National Health Technology Assessment Agency In Ireland." International Journal of Technology Assessment in Health Care 40, S1 (2024): S32. https://doi.org/10.1017/s0266462324001314.

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IntroductionThe National Centre for Pharmacoeconomics (NCPE) has a Patient Organisation Submission Process (POSP) enabling patients to communicate their experiences to the drug-reimbursement decision-maker. The NCPE proactively invites and supports patient organizations to make submissions to the decision-maker for ongoing health technology assessments (HTAs). We evaluate uptake of the POSP and determine whether submission trends differ by drug type.MethodsWe reviewed all HTAs completed by the NCPE since 2016 (when the POSP was first introduced) to present (data cut-off date 22 November 2023). Time trends in the proportions of HTAs for which a patient organization submission had been made to the NCPE were analyzed descriptively. We also compared the proportions of HTAs for which a patient organization submission had been made for (i) orphan versus non-orphan drugs and (ii) oncology versus non-oncology drugs.ResultsThe number of patient organization submissions made to the NCPE has increased over time. In 2016, 24 percent (6/25) of completed HTAs were associated with a patient organization submission compared with 50 percent (11/22) in 2023. The proportions of completed HTAs associated with a patient organization submission are comparable between orphan (38%; 24/64) and non-orphan drugs (29%; 34/117) (Chi²; p=0.245). The proportion of completed HTAs for which a patient organization submission had been made was lower for oncology drugs (14%; 14/97) versus non-oncology drugs (52%; 44/84) (Chi²; p<0.001).Conclusions Patient organization submissions to the NCPE have increased over time. The proportions of HTAs for which patient organization submissions have been made are comparable between orphan and non-orphan drugs. However, the proportion of patient organization submissions for oncology drugs is lower than the proportion for non-oncology drugs. The NCPE will continue to liaise with patient organizations to increase engagement with the POSP.

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Chuong, THAI, TRUONG Hai Bang, NGUYEN Thi Uyen, NGUYEN Cong Thanh, and TRAN Xuan Sang. "EVALUATING THE IMPACT OF LEARNING ACTIVITIES ON QUIZ SUBMISSION IN LEARNING MANAGEMENT SYSTEM (LMS)." Vinh University Journal of Science 53, no. 3C (2024): 60–71. http://dx.doi.org/10.56824/vujs.2024c069c.

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With the rise of educational technology, the trend of online learning is gradually becoming popular. Quiz submissions are a crucial assessment activity on Learning Man- agement Systems (LMS). This study investigates the factors influencing student quiz sub- missions in online learning environments. An Apriori Algorithm-Based Association Rule Analysis to assess the impact of various learning activities on student quiz submissions has been used in this article with actual online learning datasets. Our data mining results reveal that announcements and conferences have a significant positive influence on quiz submis- sions. In contrast, activities like page lectures, discussions, and reflective assignments may not substantially impact student submission behavior. The results of this research can be used to recommend teachers to organize appropriate learning activities on LMS to promote students’ quiz submission. Keywords: Data Mining in Education; Online Learning Activities; Online Assign- ment Submission

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Burks, C., and L. J. Tomlinson. "Submission of data to GenBank." Proceedings of the National Academy of Sciences 86, no. 2 (1989): 408. http://dx.doi.org/10.1073/pnas.86.2.408.

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Navarro, Lord Francis, Leah Barbaso, and Chris Jordan Aliac. "TrackERB: Holy Name University Ethical Review Board Document Tracking System." Psychology and Education: A Multidisciplinary Journal 32, no. 7 (2025): 853–68. https://doi.org/10.5281/zenodo.14936409.

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Managing   research submissions is crucial for the Ethical Review Board (ERB) at Holy Name University. The existing process involves manually submitting documents and sending a soft copy through email. These processes result in difficulty monitoring submissions, uncertainty about submission statuses, lack of notifications for relevant individuals, and communication problems with reviewers. To tackle these issues, the researchers developed a web-based document-tracking system called TrackERB, simplifying submission management and improving tracking efficiency.The system was developed using Laravel. Charts.js was used for graphical data visualization. DOMPdf was used to generate PDF reports, and the Vonage Communications API was used to send SMS-based notifications. The development environment was set up using Laragon. TrackERB serves as a centralized system for submission tracking, empowering users—including the ERB Head, ERB staff, Reviewers, and Research Advisers—to track submission progress, receive instant status updates, and ensure reviews are completed in a timely manner. A usability test was conducted with the system’s intended users to assess its effectiveness, efficiency, and user satisfaction. The evaluation, based on the System Usability Scale (SUS), resulted in a score of 91.19, indicating an above-average usability rating. The results demonstrate that TrackERB significantly improves submission tracking by enhancing accessibility, automating notifications, and providing clear status updates. In conclusion, TrackERB offers a reliable and efficient solution for managing ERB submissions, addressing the limitations of traditional email-based tracking. The system streamlined the review process by improving workflow efficiency and transparency, benefiting all stakeholders involved in research submission and evaluation.

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Sola-Barrado, Belen, Tina Wang, and Neil McAuslane. "PD63 Impact Of Parallel Submission On The Rollout Time and Health-Technology-Assessment Recommendation Of New-Active-Substances." International Journal of Technology Assessment in Health Care 38, S1 (2022): S113. http://dx.doi.org/10.1017/s0266462322003191.

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IntroductionAustralia and Canada have parallel submission processes that allow companies to submit their dossier to the respective Health-Technology-Assessment (HTA) body before the market authorization is issued, aiming to provide timelier access to drugs. The objective of this study is to investigate the associations of parallel submissions with the rollout times and HTA recommendations of new active substances (NASs).MethodsPublic data from 208 HTA appraisals were collected from the Pharmaceutical Benefits Advisory Committee (PBAC) from Australia and the Canadian Agency for Drugs and Technology in Health (CADTH) for NASs obtaining regulatory approval between 2012 and 2020. We implemented multivariable logistic and linear regression models allowing for type of submission (parallel or sequential) and jurisdiction (Australia and Canada) to examine associations with first HTA recommendation (positive and positive with restrictions vs negative) and rollout time (regulatory submission to HTA recommendation), respectively.ResultsA total of 121 appraisals followed a parallel submission. The therapeutic products that most used a parallel submission were antineoplastic agents (Anatomical Therapeutic Chemical Code=L;47.11%). A similar proportion of chemical and biotechnological products followed parallel submissions.Multivariable linear regression showed that parallel submission presented 14-months decrease in rollout time when compared to sequential (p<0.001). Regarding jurisdictions, longer rollout times were seen for Canada when compared to Australia (β:4.0, p-value=0.024).Parallel submission showed no association with HTA recommendation. Canada had higher odds of receiving a positive recommendation (Odds Ratio:4.84, 95% confidence interval:2.63-9.18) when compared with Australia (p<0.001).ConclusionsAntineoplastic agents were the main products using parallel submissions. Appraisals following a parallel submission showed a considerably faster rollout time than those following the traditional sequential submission, illustrating the advantage of this approach for dossier submission. The submission type did not have an impact on the HTA recommendation, indicating that although quicker, the HTA decision was not affected. Canada has a more restrictive criteria regarding the timing of dossier submission compared to Australia, which may lead to disparities in their rollout time.

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Berglas, Sarah, Tamara Rader, and Helen Mai. "PD24 Data Collection By Patient Groups To Provide Patient Input." International Journal of Technology Assessment in Health Care 34, S1 (2018): 137–38. http://dx.doi.org/10.1017/s0266462318002994.

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Introduction:The Canadian Agency for Drugs and Technologies in Health (CADTH) Common Drug Review and pan-Canadian Oncology Drug Review programs incorporate perspectives and experiences from patients and family members who might be affected by the resulting funding recommendation. Perspectives are provided by patient groups who use different approaches to gather patient input.Methods:We analyzed a random sample of ninety-three patient input submissions, drawn from a sampling frame of 532 submissions given to CADTH between June 2010 and June 2016. We looked at how groups described their information gathering methods in the original submissions or the published Clinical Guidance Reports.Results:Approaches were categorized according to whether they involved primary (n = 86) or secondary data collection (n = 130) and further sub categorized according to how data was collected. Primary data included: personal experiences, as described by the submission's author (n = 16); surveys conducted specifically for the submission (n=34); and new interviews of patients and family members on disease and drug experiences (n = 36). Half (forty-seven of ninety-three) of the patient input submissions included experiences of one or more patients who had received the drug under review. Secondary data included: published literature (n = 31); existing surveys (n = 27); past conversations with patients and family members (n = 36); experiences of patient group staff interacting with patients and family members (n = 19); and advice from clinical experts (n = 17). Many patient input submissions (sixty-eight out of ninety-three) reported multiple approaches to collect data. Use of two approaches was most common (thirty-seven out of ninety-three) with five or six approaches used in three of ninety-three submissions.Conclusions:Despite resource and timing challenges, many patient groups gather primary data to share with CADTH and find individuals with experience of the drug under review.

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Abrams, Jeffrey, Robert Erwin, Gwen Fyfe, and Richard L. Schilsky. "Data Submission Standards and Evidence Requirements." Oncologist 15, no. 5 (2010): 488–91. http://dx.doi.org/10.1634/theoncologist.2009-0260.

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Atfeh, M., and A. T. Williams. "Resource implications of SNOT22 data submission." Clinical Otolaryngology 37, no. 1 (2012): 86–87. http://dx.doi.org/10.1111/j.1749-4486.2011.02425.x.

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El-Tawil, Sherif, and Anil K. Agrawal. "Data Papers: A New Submission Category." Journal of Structural Engineering 145, no. 12 (2019): 01619001. http://dx.doi.org/10.1061/(asce)st.1943-541x.0002574.

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Savage, Donna R. "FDA guidance on pharmacogenomics data submission." Nature Reviews Drug Discovery 2, no. 12 (2003): 937–38. http://dx.doi.org/10.1038/nrd1274.

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Hartshorne, Richard. "Editorial: Submissions and Publication Data from the 2023 Volume of the Journal of Technology and Teacher Education & What We Learned about Technology and Teacher Education in 2023." Journal of Technology and Teacher Education 31, no. 4 (2023): 385–400. https://doi.org/10.70725/685466hqxvgl.

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In recent years, the final issue of the Journal of Technology and Teacher Education (JTATE) has included an editorial with the aims of: 1) providing an overview of submission and publication data from the previous year, 2) addressing recommendations for authors based on the reviews from the prior year, and 3) including a review of lessons learned from the articles published in JTATE throughout the current year. Thus, the focus of the volume 31 editorial (as with volumes 29 and 30; see Hartshorne & Kibbey, 2021a, 2022) is to examine submission and acceptance trends and rates, key topics of submissions and publications, and recommendations based on the outcomes of both editorial reviews (i.e. desk reviews) and Editorial Review Board (ERB) feedback for submissions throughout 2023, while also providing a retrospective of what can be gleaned from articles that have appeared in the 31st volume of JTATE.

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Hartshorne, Richard. "Editorial: Submissions and Publication Data from the 2024 Volume of the Journal of Technology and Teacher Education & What We Learned about Technology and Teacher Education in 2024." Journal of Technology and Teacher Education 32, no. 4 (2024): 473–94. https://doi.org/10.70725/mgjc7232.

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During my tenure as Editor-in-Chief, the final issue of the Journal of Technology and Teacher Education (JTATE) has included an editorial with three primary objectives: 1) providing an overview of submission and publication data from the previous year, 2) addressing recommendations for authors based on reviews from the prior year, and 3) reviewing lessons learned from all articles published in JTATE throughout the current year. Thus, the focus of the volume 32 editorial (as with volumes 29, 30, and 31; see Hartshorne, 2023; Hartshorne & Kibbey, 2021a, 2022) is to examine submission and acceptance trends and rates, key topics of submissions and publications, and recommendations based on the outcomes of both editorial reviews (i.e. desk reviews) and Editorial Review Board (ERB) feedback for submissions throughout 2024, while also providing a retrospective of what can be gleaned from articles that have appeared in the 32nd volume of JTATE.

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DeLaurier, April, Douglas G. Howe, Leyla Ruzicka, et al. "ZebraShare: a new venue for rapid dissemination of zebrafish mutant data." PeerJ 9 (April 13, 2021): e11007. http://dx.doi.org/10.7717/peerj.11007.

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Background In the past decade, the zebrafish community has widely embraced targeted mutagenesis technologies, resulting in an abundance of mutant lines. While many lines have proven to be useful for investigating gene function, many have also shown no apparent phenotype, or phenotypes not of interest to the originating lab. In order for labs to document and share information about these lines, we have created ZebraShare as a new resource offered within ZFIN. Methods ZebraShare involves a form-based submission process generated by ZFIN. The ZebraShare interface (https://zfin.org/action/zebrashare) can be accessed on ZFIN under “Submit Data”. Users download the Submission Workbook and complete the required fields, then submit the completed workbook with associated images and captions, generating a new ZFIN publication record. ZFIN curators add the submitted phenotype and mutant information to the ZFIN database, provide mapping information about mutations, and cross reference this information across the appropriate ZFIN databases. We present here examples of ZebraShare submissions, including phf21aa, kdm1a, ctnnd1, snu13a, and snu13b mutant lines. Results Users can find ZebraShare submissions by searching ZFIN for specific alleles or line designations, just as for alleles submitted through the normal process. We present several potential examples of submission types to ZebraShare including a phenotypic mutants, mildly phenotypic, and early lethal mutants. Mutants for kdm1a show no apparent skeletal phenotype, and phf21aa mutants show only a mild skeletal phenotype, yet these genes have specific human disease relevance and therefore may be useful for further studies. The p120-catenin encoding gene, ctnnd1, was knocked out to investigate a potential role in brain development or function. The homozygous ctnnd1 mutant disintegrates during early somitogenesis and the heterozygote has localized defects, revealing vital roles in early development. Two snu13 genes were knocked out to investigate a role in muscle formation. The snu13a;snu13b double mutant has an early embryonic lethal phenotype, potentially related to a proposed role in the core splicing complex. In each example, the mutants submitted to ZebraShare display phenotypes that are not ideally suited to their originating lab’s project directions but may be of great relevance to other researchers. Conclusion ZebraShare provides an opportunity for researchers to directly share information about mutant lines within ZFIN, which is widely used by the community as a central database of information about zebrafish lines. Submissions of alleles with a phenotypic or unexpected phenotypes is encouraged to promote collaborations, disseminate lines, reduce redundancy of effort and to promote efficient use of time and resources. We anticipate that as submissions to ZebraShare increase, they will help build an ultimately more complete picture of zebrafish genetics and development.

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Agrawal, Divy, Alexandra Meliou, and S. Sudarshan. "PACMMOD Volume 2 Issue 1: Editorial." Proceedings of the ACM on Management of Data 2, no. 1 (2024): 1–2. http://dx.doi.org/10.1145/3639256.

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Welcome to Issue 1 of Volume 2 of the Proceedings of the ACM on Management of Data, which has papers from the third round of submissions to the SIGMOD research track. Out of 230 submissions in this round, whose submission deadline was July 15, 2023, a total of 71 articles were accepted and are presented in this issue.

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Hartshorne, Richard, and Allison Kibbey. "Editorial: Submissions and Publication Data from the 2020 Volume of the Journal of Technology and Teacher Education & What We Learned about Technology and Teacher Education in 2021." Journal of Technology and Teacher Education 29, no. 4 (2021): 453–69. https://doi.org/10.70725/904740byvbfp.

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In recent years, the Journal of Technology and Teacher Education (JTATE) has included two editorials each year. In the second issue each year, an editorial is included to provide an overview of submission and publication data from the previous year, as well as recommendations for authors based on the reviews from the prior year. In the final issue of each year, an editorial is included to provide a review of lessons learned from the articles published in JTATE throughout the current year (see Baumgartner & Ferdig, 2018; 2019; Hartshorne & Baumgartner, 2020). For volume 29, these editorials are being combined into a single editorial, provided here. Thus, the focus of this editorial is to examine submission and acceptance trends and rates, key topics of submissions and publications, and recommendations based on the outcomes of both editorial reviews (i.e. desk reviews) and Editorial Review Board (ERB) feedback for submissions throughout 2020, while also providing a retrospective of what can be gleaned from articles that have appeared in the 29th volume of JTATE.

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Hartshorne, Richard, and Allison Kibbey. "Editorial: Submissions and Publication Data from the 2022 Volume of the Journal of Technology and Teacher Education & What We Learned about Technology and Teacher Education in 2022." Journal of Technology and Teacher Education 30, no. 4 (2022): 413–29. https://doi.org/10.70725/732913ibneow.

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In recent years, the Journal of Technology and Teacher Education (JTATE) has included two editorials each year. In the second issue each year, an editorial has been included to provide an overview of submission and publication data from the previous year, as well as recommendations for authors based on the reviews from the prior year. In the final issue of each year, an editorial has been included to provide a review of lessons learned from the articles published in JTATE throughout the current year (see Baumgartner & Ferdig, 2018; 2019; Hartshorne & Baumgartner, 2020). For volume 30 (as with volume 29; see Hartshorne & Kibbey, 2021a), these editorials are being combined into a single editorial, provided here. Thus, the focus of this editorial is to examine submission and acceptance trends and rates, key topics of submissions and publications, and recommendations based on the outcomes of both editorial reviews (i.e. desk reviews) and Editorial Review Board (ERB) feedback for submissions throughout 2022, while also providing a retrospective of what can be gleaned from articles that have appeared in the 30th volume of JTATE.

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Abubakar, Rodlial Ramdhan Tackbir. "Implementasi Kebijakan Online Single Submission pada Pelayanan Perizinan Usaha (Studi Kasus di DPMTSP Kota Bandung & Kabupaten Bandung)." Publica: Jurnal Pemikiran Administrasi Negara 12, no. 2 (2020): 83–92. http://dx.doi.org/10.15575/jpan.v12i2.10143.

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AbstractOnline Single Submission (OSS) is an application that can be used for all business registration and application processes as well as other licensing applications included in the business licensing service. This study aims to examine how the implementation of online single submissions on business licensing services in Bandung city and Bandung Regency. This study used descriptive qualitative approach, with observation, interview, and documentation as its data collection techniques. The research results showed that business licensing services using online single submissions are already good, but these efforts have not been running optimally, there are still obstacles that are often faced by DPMPTSP Bandung City and Bandung Regency, especially regarding supporting facilities and disharmony between central and regional regulations related to the implementation of online single submission.Keywords: Policy Implementation, Online Single Submission, Public Service, Business Licensing Services

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Antonić, Nenad. "Submission of a copy of personal data." Bankarstvo 50, no. 4 (2021): 146–57. http://dx.doi.org/10.5937/bankarstvo2104146a.

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The right to submit a copy of personal data was regulated for the first time in the legal system of the Republic of Serbia by the Law on Personal Data Protection (Official Gazette of the Republic of Serbia, Nos. 87/2018 of 13/11/2018), as part of the legal institute "Right to Access Personal Data''. This legal institute was assumed from the European Union, namely from Regulation (EU) 2016/679 of the European Parliament and of the Council as of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data and repealing Directive 95/46/EC (General Data Protection Regulation). From the beginning of implementation of the above law until today, the question of the form in which a copy of personal data is delivered to the data subject has been raised, i.e., whether the obligation to submit a copy of personal data necessarily means the obligation to submit a copy of documents containing personal data.

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Einspahr, H. "Streamlining data bank deposition and manuscript submission." Acta Crystallographica Section A Foundations of Crystallography 61, a1 (2005): c129. http://dx.doi.org/10.1107/s0108767305094547.

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Ball, Catherine A., Alvis Brazma, Helen Causton, et al. "Submission of Microarray Data to Public Repositories." PLoS Biology 2, no. 9 (2004): e317. http://dx.doi.org/10.1371/journal.pbio.0020317.

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Kubick, Wayne R., Stephen Ruberg, and Edward Helton. "Toward a Comprehensive CDISC Submission Data Standard." Drug Information Journal 41, no. 3 (2007): 373–82. http://dx.doi.org/10.1177/009286150704100311.

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Witwer, Kenneth W. "Data Submission and Quality in Microarray-Based MicroRNA Profiling." Clinical Chemistry 59, no. 2 (2013): 392–400. http://dx.doi.org/10.1373/clinchem.2012.193813.

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BACKGROUND Public sharing of scientific data has assumed greater importance in the omics era. Transparency is necessary for confirmation and validation, and multiple examiners aid in extracting maximal value from large data sets. Accordingly, database submission and provision of the Minimum Information About a Microarray Experiment (MIAME)3 are required by most journals as a prerequisite for review or acceptance. METHODS In this study, the level of data submission and MIAME compliance was reviewed for 127 articles that included microarray-based microRNA (miRNA) profiling and were published from July 2011 through April 2012 in the journals that published the largest number of such articles—PLOS ONE, the Journal of Biological Chemistry, Blood, and Oncogene—along with articles from 9 other journals, including Clinical Chemistry, that published smaller numbers of array-based articles. RESULTS Overall, data submission was reported at publication for &lt;40% of all articles, and almost 75% of articles were MIAME noncompliant. On average, articles that included full data submission scored significantly higher on a quality metric than articles with limited or no data submission, and studies with adequate description of methods disproportionately included larger numbers of experimental repeats. Finally, for several articles that were not MIAME compliant, data reanalysis revealed less than complete support for the published conclusions, in 1 case leading to retraction. CONCLUSIONS These findings buttress the hypothesis that reluctance to share data is associated with low study quality and suggest that most miRNA array investigations are underpowered and/or potentially compromised by a lack of appropriate reporting and data submission.

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Claudia, Cindy, Joni Hendra, and Mutimmah Rustianawati. "Pengaruh Ukuran Perusahaan, Financial Distress dan Profitabilitas terhadap Ketepatan Waktu Penyampaian Laporan Keuangan pada Perusahaan Subsektor Pertambangan yang Terdaftar di BEI." EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi 4, no. 1 (2024): 111–18. http://dx.doi.org/10.56799/ekoma.v4i1.4938.

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This study focused on companies in the mining subsector listed on the IDX from 2020 to 2022, aiming to investigate the positive impacts of Company Size, Financial Distress, and Profitability on the timeliness of financial statement submissions among these companies. The type of research used is quantitative, with an associative approach, involving variables such as Company Size, Financial Distress, and Profitability. To determine the extent of their positive influence on the timeliness of financial statement submission, this is demonstrated by the outer loading values with a significance level > 0.5. The study sample comprised 26 companies observed over a three-year period. Data for the research were sourced from www.idx.co.id and https://lembarsaham.com. The findings reveal that the Company Size variable positively influences the timeliness of financial statement submissions, Financial Distress also has a positive impact on submission timeliness, whereas Profitability does not significantly affect the timeliness of financial statement submissions among mining subsector companies listed on the IDX for the period 2020 to 2022.

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Davidson, Bruce, Yang W. Lee, and Richard Wang. "Developing data production maps: meeting patient discharge data submission requirements." International Journal of Healthcare Technology and Management 6, no. 2 (2004): 223. http://dx.doi.org/10.1504/ijhtm.2004.004978.

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Connolly, Dusparic, Iosifidis, and Bouroche. "Privacy Aware Incentivization for Participatory Sensing." Sensors 19, no. 18 (2019): 4049. http://dx.doi.org/10.3390/s19184049.

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Abstract: Participatory sensing is a process whereby mobile device users (or participants) collect environmental data on behalf of a service provider who can then build a service based upon these data. To attract submissions of such data, the service provider will often need to incentivize potential participants by offering a reward. However, for the privacy conscious, the attractiveness of such rewards may be offset by the fact that the receipt of a reward requires users to either divulge their real identity or provide a traceable pseudonym. An incentivization mechanism must therefore facilitate data submission and rewarding in a way that does not violate participant privacy. This paper presents Privacy-Aware Incentivization (PAI), a decentralized peer-to-peer exchange platform that enables the following: (i) Anonymous, unlinkable and protected data submission; (ii) Adaptive, tunable and incentive-compatible reward computation; (iii) Anonymous and untraceable reward allocation and spending. PAI makes rewards allocated to a participant untraceable and unlinkable and incorporates an adaptive and tunable incentivization mechanism which ensures that real-time rewards reflect current environmental conditions and the importance of the data being sought. The allocation of rewards to data submissions only if they are truthful (i.e., incentive compatibility) is also facilitated in a privacy-preserving manner. The approach is evaluated using proofs and experiments.

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Yang, Jinwook, and Kyenghee Kwon. "Comparative Analysis on Common Technical Document Module 1 Submission Form of Drug Labeling in South Korea, United States and Europe." Yakhak Hoeji 67, no. 6 (2023): 404–14. http://dx.doi.org/10.17480/psk.2023.67.6.404.

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National efforts to enhance the readability and utilization of drug labeling information are ongoing, emphasizing the pivotal role of effective systems influenced by regulatory frameworks. A comparative analysis of drug labeling submissions within the administrative context of Module 1 of the Common Technical Document revealed the potential to discern disparities in managing drug labeling information across distinct nations. Consequently, this study scrutinized the structure of drug labeling submissions in Module 1 within the jurisdictions of Korea, the United States, and Europe. Significantly, the United States and Europe require data assessing the consumer’s understanding of drug labeling, subject to regulatory review. In contrast, the Korean regulatory framework overlooks audience considerations and lacks data evaluating labeling appropriateness. These differing submission practices result in significant disparities in drug labeling content and format. Regulatory specifications heavily shape drug labeling, leading to differences in the depth of oversight due to submission format disparities. While the administrative content encompassed within Module 1 of the Common Technical Document acknowledges national discrepancies, we aspire to establish a more sophisticated and consumer-centric drug-labeling system in Korea.

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Nurcahyo, Heri, Windu Gata, Eni Heni Hermaliani, Hafifah Bella Novitasari, and Suwanda Aditya Saputra. "The Implementation of Finite State Automata Concept in Data Integration Services Submission." Jurnal Teknik Elektro dan Komputer 11, no. 1 (2022): 15. http://dx.doi.org/10.35793/jtek.11.1.2022.37142.

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The submission of Data Integration Services on regional apparatus in the DKI Jakarta Provincial Government is still processed manually. The data user proposes data integration services by attaching a data analysis requirement document addressed to the Data Producer and a copy to the data guardian. The Problems of manual submitting services are the difficulty of tracking the integration status, filling out the application data analysis form is inappropriate and incomplete, the data integration submission letter is not properly archived, and the results of the coordination betwen users and data producers are not properly documented.This study aims to design an application for submitting data integration services by applying the concept of Finite State Automata which is expected to provide convenience and benefits for data users in data integration submission, facilitate data producers in verifying data integration submission and facilitate the Department of Communication, Informatics, and Statistics of DKI Jakarta as data guardian in providing data integration services for Regional Apparatus in the DKI Jakarta Provincial Government.

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Dixon-Woods, Mary, Anne Campbell, Emma-Louise Aveling, and Graham Martin. "An ethnographic study of improving data collection and completeness in large-scale data exercises." Wellcome Open Research 4 (December 16, 2019): 203. http://dx.doi.org/10.12688/wellcomeopenres.14993.1.

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Background: Large-scale data collection is an increasingly prominent and influential feature of efforts to improve healthcare delivery, yet securing the involvement of clinical centres and ensuring data comprehensiveness often proves problematic. We explore how improvements in both data submission and completion rates were achieved during a crucial period of the evolution of two large-scale data exercises. Methods: As part of an evaluation of a quality improvement programme, we conducted an ethnographic study involving 90 interviews and 47 days of non-participant observation of two UK national clinical audits in a period before submission of data on adherence to clinical standards became mandatory. Results: Critical to the improvements in submission and completion rates in the two exercises were the efforts of clinical leaders to refigure “data work” as a professionalization strategy. Using a series of strategic manoeuvres, leaders constructed a cultural account that tied the fortunes of the healthcare professions to the submission of high-quality data, proposing that it would demonstrate responsibility, transparency, and alignment with the public interest. In so doing, clinical leadership deployed tactics that might have been seen as unwarranted managerial aggression had they been imposed by parties external to the profession. Many residual challenges were linked not to principled objection by clinicians, but to mundane problems and frustrations in obtaining, recording, and submitting data. The cultural framing of data work as a professional duty was important to resolving its status as an abject form of labour. Conclusions: Improving data quality in large-scale exercises is possible, but requires cooperation with clinical centres. Enabling professional leadership of data work may offer some significant advantages, but attention is also needed to mundane and highly consequential obstacles to participation in data collection.

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Hooshyar, Danial, Margus Pedaste, and Yeongwook Yang. "Mining Educational Data to Predict Students’ Performance through Procrastination Behavior." Entropy 22, no. 1 (2019): 12. http://dx.doi.org/10.3390/e22010012.

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A significant amount of research has indicated that students’ procrastination tendencies are an important factor influencing the performance of students in online learning. It is, therefore, vital for educators to be aware of the presence of such behavior trends as students with lower procrastination tendencies usually achieve better than those with higher procrastination. In the present study, we propose a novel algorithm—using student’s assignment submission behavior—to predict the performance of students with learning difficulties through procrastination behavior (called PPP). Unlike many existing works, PPP not only considers late or non-submissions, but also investigates students’ behavioral patterns before the due date of assignments. PPP firstly builds feature vectors representing the submission behavior of students for each assignment, then applies a clustering method to the feature vectors for labelling students as a procrastinator, procrastination candidate, or non-procrastinator, and finally employs and compares several classification methods to best classify students. To evaluate the effectiveness of PPP, we use a course including 242 students from the University of Tartu in Estonia. The results reveal that PPP could successfully predict students’ performance through their procrastination behaviors with an accuracy of 96%. Linear support vector machine appears to be the best classifier among others in terms of continuous features, and neural network in categorical features, where categorical features tend to perform slightly better than continuous. Finally, we found that the predictive power of all classification methods is lowered by an increment in class numbers formed by clustering.

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Yogesh, Rabadiya*1 Jignasha Dabhi2 Sanjay Chauhan3. "An Overview of Regulatory Management Software for Educational and Industrial Sectors." International Journal of Pharmaceutical Sciences 3, no. 2 (2025): 898–913. https://doi.org/10.5281/zenodo.14862201.

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The abstract presents an in-depth look at software solutions developed specifically for managing the Electronic Common Technical Document (eCTD) in the pharmaceutical and life sciences industries. These solutions are designed to optimize various aspects of regulatory document management, including document organization, validation, publishing, and submission tracking. By integrating with existing systems, they facilitate a seamless and efficient regulatory workflow, enabling organizations to streamline the submission process while adhering to regulatory standards. Key features of these solutions include automated indexing, which ensures proper categorization and easy retrieval of documents, version control to manage document revisions, and collaborative tools that allow multiple stakeholders to work together on regulatory submissions. The software solutions also include robust validation modules, which help minimize errors in regulatory documents by automating checks for compliance with eCTD specifications. This reduces the risk of submission rejections and accelerates the approval process, ultimately enabling smoother regulatory approvals. These tools play a crucial role in ensuring that the documentation meets the stringent standards set by regulatory bodies, such as the FDA and EMA, while also improving overall efficiency and reducing administrative overhead. In addition to these core features, the abstract also highlights the role of emerging technologies in further enhancing eCTD management. Artificial intelligence (AI) features, such as natural language processing (NLP) and predictive analytics, are transforming the way submissions are processed. NLP can help identify and interpret complex regulatory language, while predictive analytics can forecast submission outcomes and identify potential risks, speeding up the review process and improving submission quality. Cloud-based solutions are also gaining traction, offering numerous advantages such as real-time collaboration, remote access, and enhanced scalability. These solutions enable teams to work on regulatory submissions from anywhere, at any time, fostering collaboration across geographies and improving overall workflow efficiency. Furthermore, cloud technology strengthens security and compliance by providing robust data protection measures, ensuring that sensitive regulatory documents remain secure and meet the necessary compliance requirements. Overall, CTD software is vital for ensuring regulatory compliance, enhancing operational efficiency, and driving innovation in the pharmaceutical and life sciences sectors. By adopting these solutions, organizations can better navigate the complex and evolving regulatory landscape, ensuring that they remain compliant while delivering their products to market in a timely and efficient manner.

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Bell, Michelle L., and Kelvin C. Fong. "Gender Differences in First and Corresponding Authorship in Public Health Research Submissions During the COVID-19 Pandemic." American Journal of Public Health 111, no. 1 (2021): 159–63. http://dx.doi.org/10.2105/ajph.2020.305975.

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Objectives. To investigate the rate of manuscript submission to a major peer-reviewed journal (American Journal of Public Health) by gender, comparing periods before and during the pandemic. Methods. We used data from January 1 to May 12, 2020, and defined the start of the pandemic period by country as the first date of 50 or more confirmed cases. We used an algorithm to classify gender based on first name and nation of origin. We included authors whose gender could be estimated with a certainty of at least 95%. Results. Submission rates were higher overall during the pandemic compared with before. Increases were higher for submissions from men compared with women (41.9% vs 10.9% for corresponding author). For the United States, submissions increased 23.8% for men but only 7.9% for women. Women authored 29.4% of COVID-19–related articles. Conclusions. Our findings suggest that the pandemic exacerbated gender imbalances in scientific research.

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Baker, Edward N., Charles S. Bond, Elspeth F. Garman, Janet Newman, Randy J. Read, and Mark J. van Raaij. "Submission of structural biology data for review purposes." IUCrJ 9, no. 1 (2021): 1–2. http://dx.doi.org/10.1107/s2052252521012999.

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Baker, Edward N., Charles S. Bond, Elspeth F. Garman, Janet Newman, Randy J. Read, and Mark J. van Raaij. "Submission of structural biology data for review purposes." Acta Crystallographica Section F Structural Biology Communications 77, no. 12 (2021): 435–36. http://dx.doi.org/10.1107/s2053230x21012681.

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Baker, Edward N., Charles S. Bond, Elspeth F. Garman, Janet Newman, Randy J. Read, and Mark J. van Raaij. "Submission of structural biology data for review purposes." Acta Crystallographica Section D Structural Biology 77, no. 12 (2021): 1477–78. http://dx.doi.org/10.1107/s205979832101250x.

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Baranova, Ekaterina Andreevna, and Anna Aleksandrovna Shnaider. "Forms of submission of materials in data journalism." Litera, no. 3 (March 2022): 98–107. http://dx.doi.org/10.25136/2409-8698.2022.3.37556.

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The term data journalism appeared in 2005, however, a single definition of the term "data journalism" has not yet appeared in the scientific community, researchers give different interpretations. This is largely due to the fact that there are discrepancies in understanding the essence of the phenomenon: whether it is a new direction of journalism development or a new genre, format of providing information. As part of the preparation of this article, E.A. Baranova conducted expert interviews with Konstantin Poleskov, the editor of SAI&#774;ta novayagazeta.ru , Roman Anin, editor of the investigation department of "Novoi Gazeta", Tina Berezhnaya, Advisor to the General Director for Information Technology of the TV channel "Russia Today", Alexey Smagin, a graduate of the Department of Data Journalism of the Higher School of Economics, an active specialist working at Novaya Gazeta. The experts were asked questions concerning the prerequisites for the emergence of data journalism, the forms of providing materials in data journalism, the development of new competencies among media workers, ethical problems that may be associated with the development of data journalism. The subject of the research is data journalism as a new direction of journalism development. The object of research is the forms of submission of materials in data journalism. The authors studied the data materials published on the websites of Russian and foreign media on the Yandex platform. The article highlights five forms of content submission in data journalism: analytical article; picture; flashcards; longrid; interactive multimedia project. The authors of the article come to the conclusion that data journalism today gives a new development to traditional journalistic genres - analytical article, investigation, news genres. The development of data journalism is associated with the emergence of ethical issues. To date, there are practically no specialists in data journalism in Russia, in order to develop this direction, it is necessary to reform educational programs in journalism.

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Jones, Roy B., Charles Martinez, J. Douglas Rizzo, and Dianne Reeves. "Comprehensive stem cell transplant (SCT) outcome data submission." Journal of Clinical Oncology 30, no. 34_suppl (2012): 293. http://dx.doi.org/10.1200/jco.2012.30.34_suppl.293.

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293 Background: All U.S. transplant centers must report comprehensive SCT outcome data to a federal registry. The current electronic data capture method requires manual data entry of 700+ unique data elements into an internet application, FormsNet (Center for International Blood and Marrow Transplant Research). Data is routinely copied from program databases or the EMR by manual transcription, an inefficient, inaccurate and expensive process. A method was needed to allow electronic transmission of outcome data directly from these databases to the mandated SCT Outcomes Database (SCTOD). Methods: We designed an interface engine (IE) to transmit structured data through a caGRID subnet (AGNIS) directly to the SCTOD from a proprietary MDACC SCT database using a secure, auditable method. To make this method applicable to other centers, we collaborated with the NCI and others to expand the Biomedical Research Informatics Domain Group (BRIDG) standard data model to support a full set of granular data elements (>1,900) required to describe SCT outcomes. The IE was modified to transmit SCT data from the expanded BRIDG database to the SCTOD. The IE and expanded BRIDG database model will be made available to all centers without charge. In this way centers interfacing data to this new structure can transmit data to the SCTOD without transcription. Results: The BRIDG oversight committee has approved the extended model and made its structure and content publically available. The IE has been used to transmit >4,000 data forms from MDACC to the SCTOD. The full set of SCT common data elements (CDE) has been published in the Cancer Data Standards Repository of the NCI. The American Society of Blood and Marrow Transplantation is publishing an RFA to identify 1-3 vendors qualified to interface data from center-specific systems to the BRIDG database. Conclusions: Comprehensive and direct electronic data transmission to the SCTOD is feasible and can be done without modifying individual center’s legacy applications. The plan will make appropriate tools available to all transplant centers. This paradigm should be applicable to other areas of oncology.

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Gilna, P., L. J. Tomlinson, and C. Burks. "Submission of Nucleotide Sequence Data to GenBank(R)." Microbiology 135, no. 7 (1989): 1779–86. http://dx.doi.org/10.1099/00221287-135-7-1779.

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Yang, Dazhi, Christian A. Gueymard, and Jan Kleissl. "Editorial: Submission of Data Article is now open." Solar Energy 171 (September 2018): A1—A2. http://dx.doi.org/10.1016/j.solener.2018.07.006.

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Salerno, Ronald A., and Lawrence J. Lesko. "Pharmacogenomic data: FDA voluntary and required submission guidance." Pharmacogenomics 5, no. 5 (2004): 503–5. http://dx.doi.org/10.1517/14622416.5.5.503.

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Kitchin, Rob. "SCG commentary: analysis of submission data, 1999–2004." Social & Cultural Geography 6, no. 6 (2005): 923–26. http://dx.doi.org/10.1080/14649360500353384.

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Ni, Jian, Scott A. Neslin, and Baohong Sun. "Database Submission—The ISMS Durable Goods Data Sets." Marketing Science 31, no. 6 (2012): 1008–13. http://dx.doi.org/10.1287/mksc.1120.0726.

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Hall, Meldra, Jeffrey Engler, Japera Hemming, et al. "Using a Virtual Community (the Health Equity Learning Collaboratory) to Support Early-Stage Investigators Pursuing Grant Funding." International Journal of Environmental Research and Public Health 15, no. 11 (2018): 2408. http://dx.doi.org/10.3390/ijerph15112408.

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Junior investigators often have limited access to networks of scientific experts and resources that facilitate competitive grant submissions. Since environments in which scientists are trained are critically important for long-term success, we built and tested a virtual environment for early-stage investigators (ESIs) working on grant proposals. The aim of this study was to evaluate the virtual community’s influence on grant submission patterns among participants from underrepresented groups. As part of a grant writing coaching model, junior investigators were recruited into a professional development program designed to develop competitive grantsmanship skills. Designed by the Research Resources and Outreach Core (RROC) of the National Research Mentoring Network (NRMN), the Health Equity Learning Collaboratory (EQ-Collaboratory) provided a virtual community for social support, accountability, constructive feedback, and access to peer networks to help investigators overcome barriers to grant submission. This study assessed differences in outcomes for participants who completed the training within the EQ-Collaboratory compared to those who did not. The analyzed data revealed a statistically significant difference in the average time to submission for participants enrolled in the EQ-Collaboratory. EQ-Collaboratory ESIs submitted proposals 148.6 days earlier, (p < 0.0001). The results suggest that a supportive virtual environment can help investigators more quickly overcome barriers to grant submission.

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Ismail, Nur Nuha, Alias Abdullah, and Syakir Amir Ab Rahman. "EVALUATING QUALITY DELIVERY AND COMPETENCY OF PLANNING PERMISSION SUBMISSION BY PROFESSIONAL BUILT ENVIRONMENT PROFESSION IN SELANGOR." Asian People Journal (APJ) 5, no. 2 (2022): 137–50. http://dx.doi.org/10.37231/apj.2022.5.2.462.

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Abstract: The arising issues pertaining to the professional practice in planning permission submission are non-compliance issues to the standard requirements and problems occurring at local authorities during planning permission submission. This research aims to investigate the quality delivery and competency in planning permission submission among professionally built environment professionals in Selangor. This research aims to understand the current perception and challenges in delivering quality planning permission submissions. This study was conducted on 24 Practicing Professional Built Environments through purposive sampling. Data were collected by an online questionnaire survey, consisting of professional built environment characteristics, perception of quality planning delivery criteria, current performance on the selected measures, and challenges during the preparation and submission of planning permission. Findings show that the Professionals in the Built Environment highly value knowledge for preparing planning permission material, auditing, and monitoring activities. Lack of pre-consultation is ranked first in the challenge of designing the document. Findings also highlight the need for local authorities to improve the way of doing things, such as unstandardized procedures from one local authority to another and the usage of a manual system instead of the online system. This is significant for improving the ease-of-doing-business. Keywords: Competency; Planning Permission; Professional Practice; Quality Delivery

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46

Cheng, Yaping. "data for submission." January 29, 2021. https://doi.org/10.5281/zenodo.4478915.

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Gruenstaeudl, Michael. "annonex2embl: automatic preparation of annotated DNA sequences for bulk submissions to ENA." October 23, 2019. https://doi.org/10.5281/zenodo.3701598.

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Motivation: The submission of annotated sequence data to public sequence databases constitutes a central pillar in biological research. The surge of novel DNA sequences awaiting database submission due to the application of next-generation sequencing has increased the need for software tools that facilitate bulk submissions. This need has yet to be met with the concurrent development of tools to automate the preparatory work preceding such submissions. Results: I introduce annonex2embl, a Python package that automates the preparation of complete sequence flatfiles for large-scale sequence submissions to the European Nucleotide Archive. The tool enables the conversion of annotated DNA sequence alignments that are co-supplied with sequence annotations and metadata to submission-ready flatfiles. Among other features, the software automatically accounts for length differences among the input sequences while maintaining correct annotations, automatically adds metadata to each record, and displays a design suitable for easy integration into bioinformatic workflows. As proof of its utility, annonex2embl is employed in preparing a dataset of more than 1,500 fungal DNA sequences for database submission. Availability and Implementation: annonex2embl is freely available via the Python package index at http://pypi.python.org/pypi/annonex2embl.

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Petukhova, Tatiana, Maria Spinato, Tanya Rossi, et al. "Insights gained through real-time monitoring of porcine reproductive and respiratory syndrome virus and description of temporal trends based on laboratory data in Ontario, Canada." Frontiers in Veterinary Science 12 (January 29, 2025). https://doi.org/10.3389/fvets.2025.1528422.

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Porcine reproductive and respiratory syndrome virus (PRRSV) is a prevalent pathogen that impacts the health of swine and is costly to the swine industry. This study utilized PRRSV test results from the University of Guelph's Animal Health Laboratory database to develop interactive, real-time dashboards and to monitor and investigate PRRSV data. The test results from Ontario swine herd samples submitted from January 2014 to July 2023 were processed in R v.4.1.1. The final optimized, aggregated, and anonymized datasets were exported to the Tableau server and were used to design dynamic real-time visualizations with Tableau Desktop v.2021.4. Constructed dashboards were: (1) monthly number of submissions and positive submissions over the last 10 years; (2) number of submissions and positive submissions over the last 3 years, interactively displayed at weekly, monthly, quarterly and yearly intervals; (3) monthly number of PRRSV restriction fragment length polymorphism pattern (RFLP) types at the submission level over the last 5 years; (4) weekly number of tested farms and positive farms over the last 6 Years; (5) monthly number of tested farms and positive farms over the last 6 Years; (6) indicators of the epidemiological data quality in each month; and (7) contextual information. Eighty different PRRSV RFLP patterns were identified with the predominant patterns being 1-8-4, 1-1-1, 1-4-2, and 2-5-2. Most farms contributed one submission per week or per month for PRRSV testing (median: 1 submission per week; IQR: 0; max: 13; median: 1 submission per month; IQR: 1, max: 31). Epidemiological data quality showed considerable improvements over the 9 years of investigation. Apparent changes in trends of submissions were visually observed when time series were stratified by reasons for submission and production class.

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Fuqiang, Gao. "Data for submission 2020GL089158." June 3, 2020. https://doi.org/10.5281/zenodo.3875119.

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Anonymous. "Data for ICSE Submission." August 28, 2021. https://doi.org/10.5281/zenodo.5301684.

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Journal articles on the topic 'Data submission'

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