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16 results for “Startup”
Replication Data for: Replication for: How Much Do Startups Impact Employment Growth in the U.S.?
<p>These are data files to support the replication of the blog post "How Much Do Startups Impact Employment Growth in the U.S.?" The replication is not a complete replication attempt. Files were downloaded from the U.S. Census Bureau at https://www.census.gov/ces/dataproducts/bds/data_firm.html on 2019-04-23. A codebook, as provided by the U.S. Census Bureau on the same date, is provided.</p>
Mapping the AEC startup ecosystem - Survey (2023)
<p>This survey was part of a European research project that aims at leading construction sites into the Industry 4.0 revolution. The project's name is BIMProve: https://www.bimprove-h2020.eu/. We work with 3 demonstrators in Norway, Spain and Switzerland, where we test different technologies, among them drones, VR, AR, and ground-robots. We now want to map the global start-up ecosystem working with and for the building and construction industry, with a specific focus on technologies, business models, and collaboration with academia. SINTEF is the institution responsible for the project (https://www.sintef.no/).</p>
ADAPTING SYSTEMS ENGINEERING TO EVALUATE TECH STARTUPS: AN INNOVATIVE FRAMEWORK BASED ON OMG ESSENCE
<p>The adaptation of system engineering to evaluate technical startups through an innovative framework based on the OMG Essence standard is a modern approach to simplify the process of analyzing and managing startups at various stages of their development. In this study, a universal framework was proposed that allows evaluating technical startups from the point of view of system engineering. This approach takes into account key aspects of startup development, such as requirements, stakeholders, technology, and team, which makes it an important tool for evaluating innovative projects.</p> <p>The main purpose of the proposed framework is to apply the principles of systems engineering to the evaluation of startups, focusing on technical aspects such as system architecture, integration capabilities, and the ability of the team to solve complex tasks. Traditional methods of evaluating startups, often focusing on business aspects, may not always take into account all the technical difficulties and risks that arise when developing software products. The OMG Essence-based framework fills this gap by providing a more comprehensive tool for analyzing and managing startup development.</p> <p>OMG Essence, as a standardized method, acts as a basis for formalizing practices and facilitating interaction between various project participants. The framework based on it offers the possibility of modular adaptation, which allows you to evaluate startups regardless of their complexity and current stage of development. An important feature of OMG Essence is the ability to integrate with other methodologies, which makes it universal for various fields. The application of this standard in the evaluation of startups allows you to obtain more objective results and improve the decision-making process.</p>
RESEARCH OVERVIEW ABOUT COMPETENCIES OF STARTUPS
<p>Front the current scenario of scientific research about startups, the question that this study focuses on answering is: “How is the current research panorama of competencies used in ventures classified as startups?” To answer the research problem described, the general objective of this study is: (i) to show the current research panorama about startup competencies. As a secondary objective: (ii) to map the main competencies of startups present in the literature. The scientific gap that this work seeks to response is create a competency framework for early-stage enterprises, in this case, startups. A group of competencies of startups operationalized in the literature were founded and can guide the theoretical framework of future works about the startup business environments, the association with their life cycle and main research themes.</p> <p>The database was did to help the systematic review according to these principles [1]: (i) create a research problem that guides the research; (ii) choose the aspect to be analyzed in the literature; (iii) filter the collected data according to their relevance to the research problem; and (iv) analyze and interpret the data. The databases chosen were "Scopus" and "Web of Science" taking into account the areas "business", "business finance", "economics" and "management" in the Web of Science, and "business, management and accounting" and “economics, econometric and finance” in the Scopus. The research was carried out between January and April 2020 and January 2022. The choice for these databases occurred due to their databases contain most relevant journals in these areas in the literature [2,3].</p> <p>There was no predetermined period of time in this research, but the authors only considered publications that used “blind review” process by peers. The authors used the keywords “startups”, “startup capabilities”, “startup competence”, “startup competencies” and “competencies” to collect the data and obtain the largest possible number of publications about the subject proposed. A total of 1,953 scientific articles published between 1938 and 2021 were found. Firstly, the authors excluded works that had duplication between the two platforms (the same work appearing on both) or that had no relationship with the area of administration, reducing the number of scientific articles to 1,205 published between 1976 and 2021. Next, works that did not specifically deal with topics related to startups were excluded, obtaining 148 articles published between 1996 and 2021. Finally, works that did not deal with startup competencies were excluded, obtaining 71 articles published between 2000 and 2021, that were described in detail in the database.</p> <p>In a bibliometric view, the articles described in this data base were classified according to descriptive (most cited journals, country of origin and year of publication) and methodological (research method) characteristics; in addition to the results (main research topic) and citations (most cited journals). All selected articles were managed by this database plotted in Microsoft Excel with the reference of each publication and its basic information (abstract, keywords, database, type of study and so on). From the reading of the selected papers, the main competences related to startups were mapped and identified.</p>
Dataset de "Percepções de Profissionais do Paraná sobre Dívida Técnica em Startups de Software Brasileiras"
<p>Dataset de "Percepções de Profissionais do Paraná sobre Dívida Técnica em Startups de Software Brasileiras"</p>
Replication Package: Pandemic Startup Software Engineering: An Experience Report on the Development of a COVID-19 Certificate Verification System
<p><strong>Welcome to the public repository for the additional content of the paper "Pandemic Startup Software Engineering: An Experience Report on the Development of a COVID-19 Certificate Verification System" (Journal of Systems and Software)<br></strong></p> <p>This repository provides additional information to the experience report, including the following files:</p> <ul> <li>survey_questions_de.txt: sheet containing the online questionnaire in German (original language)</li> <li>survey_questions_en.txt: sheet containing the online questionnaire translated into English</li> <li>survey_answers_original.csv: sheet containing the extracted questionnaire data of the participants in German (original language)</li> <li>survey_analysis.csv: sheet containing the analysis of the extracted questionnaire data in English</li> </ul>
Supplemental package of a study on the impacts of Covid-19 on software startups and established companies
<p>This package presents the data obtained in a study on the impact of COVID-19 restrictions to software startups and established companies. It contains the questionnaire used to collect data, the answers obtained and a Jupyter notebook containing the analysis performed.</p>
Práticas e Ferramentas Utilizadas em Startups de Software Paranaenses: Um Estudo Exploratório
<p>This survey seeks to identify techniques and tools applied on software development in startups located in the Brazilian state of Paraná. Expecting to be able to contribute to the academic and industrial field, by entering an area that is still relatively unknow and presenting relevant information for them, especially for companies that are just starting out.</p>
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH. in Deep learning brings speed, accuracy to the life sciences.
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH.
Clinical Startup of the 670G Closed Loop Insulin Delivery System
ClinicalTrials.gov study NCT03017482. IPD Sharing: NO. Countries: 1. Publications: 1.
The Family Startup Program. A Randomized Controlled Trial of a Universal Group-based Parenting Support Program
ClinicalTrials.gov study NCT02294968. IPD Sharing: Not stated. Countries: 1. Publications: 2.
uEMEP startup configuration and data file for GMD uEMEP model description publication
<p>These zip files contain the configuration and example data files for running uEMEP to reproduce the results in the uEMEP model description GMD publication (DOI: ?). Code and make files are accessible through github or through the associated repository here (DOI: 10.5281/zenodo.3756008).</p> <p>The zip files, once installed, allow the simulation of one day 01.01.2017. The example simulation is limitted to one day due to the size of the daily EMEP files used and the NORTRIP road dust emissions files. EMEP data for the rest of the year is accessible though '<a href="https://thredds.met.no/thredds/catalog/data/fou-kl/uEMEP/EMEP4NO/EMEP4NO_rerun_2017_v2/catalog.html">https://thredds.met.no/thredds/catalog/data/fou-kl/uEMEP/EMEP4NO/EMEP4NO_rerun_2017_v2/catalog.html</a>' if a complete calculation for a year, as appears in the publication, is to be made (size 5.8 GB per day). The remaining NORTRIP files for 2017 are available on request (70GB zipped file).</p> <p>The '<a href="https://zenodo.org/api/files/9b9eda53-6e17-4c8f-b24a-866fc7e3b121/uEMEP_demo_startup_files.zip?versionId=9aa47918-2bd8-418c-85bc-fe6c1e7f1cf5">uEMEP_demo_startup_files.zip</a>' zip file contains a bash script 'uEMEP_script_demo_startup.sh' and configuration files for calculating this day. The config file 'uEMEP_EMEP_config_hourly_default_startup_v1.txt' is the main default configuration file for uEMEP which contains explanations of the variables. Two simulations are possible with additional configuration files. One that reproduces a mapping calculation for a small region of Oslo 'Oslo_100m_5km.txt' and one that will calculate concentrations only at positions of specified measurement site receptors in norway 'uEMEP_EMEP_extra_config_Norway_station_startup_v1.txt'.</p> <p>It is necessary to change the route directories in the config files and the script file after installation and to tailor the script file to own machines and que systems.</p> <p>Example log files from the two runs are included along with the resulting uEMEP output for the simulations to check reproducability.</p> <p>Also included is 'matlab_plotting_scripts.zip', which contains the matlab scripts used to plot the validation results shown in the GMD article.</p>
THE ROLE OF INNOVATIONS AND STARTUPS IN THE DEVELOPMENT OF THE DIGITAL ECONOMY IN UZBEKISTAN
Open the record for dataset details and reuse information.
Dissemination of "Disruptive Innovation" and "Lean Startup" in Google Scholar and Scopus
<p>Number of documents represented in Google Scholar and Scopus for "Disruptive Innovation" and "Lean Startup" in different years.</p>
Failed software startups postmortem URLs
<p>This dataset contains the URL links to the postmortems compiled by CBInsights and avaible in August, 2019 at https://www.cbinsights.com/research/startup-failure-post-mortem/</p> <p>It consists of 311 URL links to postmortem of startups and an analysis of 106 of those that were considered software startups according to three researchers.</p>
Cognitive proximity, business cycles, and the fate of VC-backed startups: evidence from a worldwide 34-year-long dataset
<p>To estimate the influence of proximities on VC-backed startups' fate, we extracted data on startups and their VC investors over 34 years between 1980 and 2014. The data were extracted from Dow Jones’ VentureSource data platform. They cover VC deals in sixty-eight countries worldwide. We selected only startups financed by a VC round at least once in their lifetime. They belong to twenty-four industrial sectors (GICS 3-digit). We collected the available information on their financing rounds, investors and investment types, industry segments, and localization. For each startup in the dataset, we obtained information on VC funding rounds (“seed, 1st, 2nd, …, 9th, later, restart”) and on other sources of new funding, such as private equity investments and debt funding. Some of these funding rounds are exit events: acquisitions, mergers, IPOs or SPOs, and court liquidations. When VC investors liquidate their investments, and some new non-VC investors take over, the company is no longer VC-backed; thus, it is no longer tracked in the database. Consequently, the dataset exhibits a duration/survival structure: startups in the cross-sectional dimension but funding or exit event dates instead of calendar dates in the longitudinal dimension. The sample covers 51,969.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.