cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.knj9zk
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prunus pseudocerasus Lindl."
 ]
}

 The dataset includes 118 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039758-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.b6axf2
title: Worldwide Cyanobacteria Occurrence Data

description: This derived dataset contains worldwide occurrence data for the phylum Cyanobacteria (Cyanophyta). The dataset was filtered and reduced significantly from GBIF-mediated occurrence data. It includes detailed information on the global presence and distribution of cyanobacteria, also known as cyanophytes or blue-green algae. The dataset provides comprehensive details on common names, morphological forms, genera, and species counts across various aquatic ecosystems worldwide. This dataset was prepared by filtering GBIF.org data to include only records relevant to Cyanobacteria from all over the globe, ensuring a broad and representative coverage of this important phylum.
DOI: 10.15468/dl.hwkpcp
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.43739 49.15231,16.4448 49.15231,16.4448 50.68537,13.43739 50.68537,13.43739 49.15231))",
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036333-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112026380
title: Cuneiform Tablet 1913.14.1508, Spurlock 1913.14.1508

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1508; CDLI P421360 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (5Y 9/1.5) Moderate Yellowish Pink (5YR 7/4) Dark Gray (N 4/ 12.0% R) ❧ [Physical Object Note:] 5 x 2.9 x 1.7 cm (26g)
DOI: 10.15468/dl.f6w3z4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thlaspi tenuifolium Lam."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039763-220831081235567/datasets/export for details.
DOI: 10.15468/dl.vw4pcy
title: Occurrence Download

description: A dataset containing 788184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Arecaceae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 788184 records from 873 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069177-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18130/v3/vjxodp
title: Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis

description: Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis
description: A readme file describing the structure and content of the files in this dataset can be accessed directly, here: https://dataverse.lib.virginia.edu/file.xhtml?fileId=33190
DOI: 10.15468/dl.csqqtt
title: Occurrence Download

description: A dataset containing 97926 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocodylus porosus Schneider, 1801"
 ]
}

 The dataset includes 97926 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002494-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18130/v3/7uaphu
title: Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms

description: This repository contains the dataset and code for the manuscript:
&lt;br&gt;
&lt;br&gt;
&lt;i&gt;Zimmet AM, Sullivan BA, Fairchild KD, Moorman JR, Isler JR, Wallman-Stokes AW, Sahni R, Vesoulis ZA, Ratcliffe SJ, & Lake DE. Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms. Pediatric Research 2021. https://doi.org/10.1038/s41390-021-01428-3. &lt;/i&gt;
&lt;br&gt;
&lt;br&gt;
&lt;b&gt; EXPLANATION OF DATA FILES AND CODE &lt;/b&gt;
&lt;br&gt;
To understand all of the included data files and to tell you which key files do what, review the ReadMe_VitalSignMetrics_20200226.txt file.
&lt;br&gt;
&lt;br&gt;
&lt;b&gt; HOW TO USE THE CODE &lt;/b&gt;
&lt;br&gt;
After reviewing ReadMe_VitalSignMetrics_20200226.txt file, follow the entire code progression from raw data (the raw data itself could not be published), to summary data (included in this repository), through figure generation, via the script Pipeline.m.
&lt;br&gt;
&lt;br&gt;
&lt;b&gt;ABSTRACT&lt;/b&gt;
&lt;br&gt;
&lt;b&gt;Background:&lt;/b&gt; Continuous heart rate (HR) and oxygenation (SpO&lt;sub&gt;2&lt;/sub&gt;) metrics can be useful for predicting adverse events in very low birth weight (VLBW) infants. To optimize the utility of these tools, inter-site variability must be taken into account.
&lt;br&gt;
&lt;br&gt;
&lt;b&gt;Methods:&lt;/b&gt; For VLBW infants at three NICUs, we analyzed the mean, standard deviation, skewness, kurtosis, and cross-correlation of electrocardiogram HR, pulse oximeter pulse rate, and SpO&lt;sub&gt;2&lt;/sub&gt;. The number and durations of bradycardia and desaturation events were also measured. Twenty-two metrics were calculated hourly, and mean daily values were compared between sites. 
&lt;br&gt;
&lt;br&gt;
&lt;b&gt;Results:&lt;/b&gt; We analyzed data from 1,168 VLBW infants from birth through day 42 (35,238 infant-days). HR and SpO&lt;sub&gt;2&lt;/sub&gt; metrics were similar at the three NICUs, with mean HR rising by ~10 beats/minute over the first two weeks and mean SpO&lt;sub&gt;2&lt;/sub&gt; remaining stable around 94% over time. The number of bradycardia events was higher at one site, and the duration of desaturations was longer at another site.
&lt;br&gt;
&lt;br&gt;
&lt;b&gt;Conclusion:&lt;/b&gt; Mean HR and SpO&lt;sub&gt;2&lt;/sub&gt; were generally similar among VLBW infants at three NICUs from birth through six weeks of age, but bradycardia and desaturation events differed in the first two weeks after birth. This highlights the importance of developing predictive analytics tools at multiple sites.
description: MATLAB, 2019a
DOI: 10.18130/v3/xveqmh
title: Data Set for Book Traces: Civil War Era Readers and Their Books in Virginia Libraries

description: The data in this set concerns certain books published no later than 1870 and held in the circulating collections of 14 college and university libraries in Virginia and North Carolina. It was collected by University of Virginia student research assistants as part of the project "Book Traces: Civil War Era Readers and Their Books in Virginia Libraries." They surveyed the books on site at the holding libraries, looking for handwritten marginalia and other artefactual traces of the books' historical readers. The data set includes a spreadsheet (in TSV format) of data about the books and representative photos of the marginalia found in them.
DOI: 10.18130/v3/sx7jns
title: Data for Random Forests for Early Planet Growth Emulation

description: Dataset for UVA MSDS/Astronomy Capstone Group, doing research on early planet formation and machine learning emulation of the processes. In particular, the pre-trained models for the random forest algorithm and a further prediction quality classifier are also contained here, for use in open-source Python packaging.
DOI: 10.18130/v3/hhtayi
title: Evidence Graph for: Discovery of Signatures of Fatal Neonatal Illness in Vital Signs Using Highly Comparative Time-Series Analysis

description: Evidence graph supporting "Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis".
DOI: 10.18130/v3/151on0
title: Resultados de la Elección General de Puerto Rico 2020 (Escrutinio General)

description: Los archivos presentados contienen la información de las actas del escrutinio general de la elección general del 2020 de Puerto Rico. La información se recopiló de la Comisión Estatal de Elecciones de Puerto Rico: http://elecciones2020.ceepur.org.
La información sobre los centros de votación se obtuvo de los documentos provistos: https://www.ceepur.org/Elecciones/Documentos.
description: Julia, 1.6.1
description: CSV.jl, 0.8.4
description: Cascadia.jl, 1.0.1
description: DataFrames.jl, 0.21.8
description: LibPQ.jl, 1.6.2
description: PDFIO.jl, 0.1.1
description: WebDriver.jl, 0.1.1
description: Docker selenium/standalone-chrome, 4
DOI: 10.18130/v3/2zlowa
title: Diverse Humoral Immune Responses in Younger and Older Adult COVID-19 Patients: Datasets

description: Protein array IgG, IgA, IgM signal intensity normalized data. This data set also contains clinical metadata and cytokine/chemokine/growth factor data used in the study.
DOI: 10.18130/v3/esqbiy
title: Fluvanna Courthouse 3D Data

description: Data was collected in Spring 2021. The attic was 3D laser scanned on 2021-03-09 by Will Rourk and Shaheen Alikhan using (2) FARO Focus 3D X130 laser scanners. The exterior was scanned on 2021-04-07 by Will Rourk using these two scanners plus a FARO Focus 3D S120 laser scanner. 
&lt;p&gt;
Data files can be downloaded at the following location 
&lt;br&gt;
&lt;strong&gt;Coming soon. Contact Will Rourk will@virginia.edu for more info&lt;/strong&gt;
&lt;!--
 &lt;a href="http://3d-data.uvadcos.io/FluvannaCH"&gt;http://3d-data.uvadcos.io/FluvannaCH/&lt;/a&gt;
&lt;br&gt;
&lt;a href="http://3d-data.uvadcos.io/FluvannaCH/FluvannaCH_MAIN_SPR2021_scene.zip"&gt;
Raw dataset, FARO Scene project format compressed by zip (50.4 GB) 
&lt;/a&gt;
&lt;br&gt;
&lt;a href="http://3d-data.uvadcos.io/FluvannaCH/FluvannaCH_MAIN_SPR2021_PTS.pts"&gt;
Point Cloud Data File - .pts file format (50 GB)
&lt;/a&gt;
&lt;br&gt;
&lt;a href="http://3d-data.uvadcos.io/FluvannaCH/FluvannaCH_MAIN_SPR2021_scene.zip"&gt;
Point Cloud Data File - .e57 file format (14.7 GB)
&lt;/a&gt; --&gt;
&lt;/p&gt;
&lt;p&gt;
Information about the files associated with this dataset can be found in the &lt;a href="https://gdcc.github.io/dataverse-previewers/previewers/v1.2/PDFPreview.html?fileid=35989&siteUrl=https://dataverse.lib.virginia.edu&datasetid=35980&datasetversion=:latest&locale=en"&gt;Read Me&lt;/a&gt; file below.
&lt;/p&gt;
&lt;p&gt;Please credit the University of Virginia Library upon use of this data&lt;/p&gt;
description: The Fluvanna County Courthouse was designed by John Hartwell Cocke and completed in 1831. Construction was supervised by Walker Timberlake. It is located in the current county seat of Palmyra, Va. 
<br>
This project was a collaboration between the University of Virginia Library and the Fluvanna Historical Society.
DOI: 10.18130/v3/anxwcf
title: Kim 2022 - Acute progesterone feedback in PCOS - Supplemental Materials

description: Supplemental Materials for "Acute progesterone feedback on gonadotropin secretion is not demonstrably altered in estradiol-pretreated women with polycystic ovary syndrome," authors Su Hee Kim, Jessica A. Lundgren,
James T. Patrie, Christine M. Burt Solorzano, and Christopher R. McCartney.
DOI: 10.18130/v3/ngvf8w
title: NASA 2014 Solar System Workings Award

description: Space processing of asteroidal surfaces and the formation of new chemical species at Vesta and Ceres.
DOI: 10.18130/v3/r4dztq
title: Votaciones senatoriales de 1ra Sesión Ordinaria de la 19ma Asamblea Legislativa de Puerto Rico

description: Votaciones senatoriales de 1ra Sesión Ordinaria de la 19ma Asamblea Legislativa de Puerto Rico. Fuente de información incluye: https://www.senado.pr.gov (https://www.senado.pr.gov/Pages/VotacionMedidas.aspx - votos), https://openstates.org/graphql (para conseguir el rid de las medidas) y https://sutra.oslpr.org/osl/esutra/ (para la información de las comisiones).
DOI: 10.18130/v3/m9cp9c
title: Thermal Energy Harvesting Profiles in Residential Settings

description: &lt;p&gt;This repository contains the raw dataset, computed parameters and supporting material for the paper "Dataset: Thermal Energy Harvesting Profiles in Residential Settings", accepted in the ACM DATA Workshop co-located with ACM SenSys'21 and BuildSys'21, November 17, 2021, Coimbra, Portugal.&lt;/p&gt;

&lt;p&gt;We recommend users to navigate this dataset using the &lt;b&gt;Tree&lt;/b&gt; view option since files are organized by folders. The "README.md" file in the root directory provides a brief explanation of this repository contents.&lt;/p&gt;

&lt;p&gt;This material is based upon work supported in part by the National Science Foundation under grant CRISP-1735587.&lt;/p&gt;
DOI: 10.18130/v3/nazo4b
title: Social Data Commons - U.S. Census Block Address Counts
title: 2021 Count of Housing Units and Group Quarters per Census Block in the U.S.

description: 2021 Count of Housing Units and Group Quarters per Census Block in the U.S.
DOI: 10.18130/v3/1p5ccj
title: :unav

description: :unav
DOI: 10.18130/v3/ojksl9
title: Replication Data for: Deep Learning-Derived Tissue Features Aid Diagnosis of Eosinophilic Esophagitis

description: This contains data to replicate the eosionphil segmentation model and the EoE classification model.
DOI: 10.15468/dl.crtju7
title: Occurrence Download

description: A dataset containing 1057 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hippocampus histrix Kaup, 1856"
 ]
}

 The dataset includes 1057 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002501-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q37ek7
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaearionta aquaealbae (S.S.Berry, 1922)"
 ]
}

 The dataset includes 36 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002502-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18130/v3/aqffn3
title: Social Data Commons: Education & Training: ACS Post-HS Eduation

description: Virginia Standards of Learning Test Scores collected by the Virginia Department of Education (VDOE)
DOI: 10.18130/v3/lli15d
title: Social Data Commons: Education & Training: Virginia SOL Scores

description: Virginia Standards of Learning Test Scores collected by the Virginia Department of Education (VDOE)
DOI: 10.18130/v3/tfcyvo
title: Social Data Commons: Health, Behavior, Diet: HIFLD Facility Access

description: Access to Homeland Infrastructure Foundation-Level Data (HIFLD) Facilities (Mental health, substance abuse, hospital, and EMS)
DOI: 10.18130/v3/atjozw
title: Federal RePORTER Data
title: Raw grant metadata and abstracts

description: Federally funded grants awarded in FYs 2008 - 2020. Data downloaded from Federal ExPORTER with FY19-20 NSF data downloaded from Federal RePORTER directly (https://federalreporter.nih.gov/). Grant metadata and abstracts included. This is raw data.
DOI: 10.18130/v3/swk71r
title: Social Data Commons: Health, Behavior, Diet: Preventable Hospitalizations

description: Average Internet Speed and Percent above Threshold Speeds from Ookla
DOI: 10.18130/v3/xocsxo
title: Monticello Artifacts Collection

description: This is a collection of 3D scan data of artifacts from Thomas Jefferson's Monticello in collaboration with the archaeologists, architectural historians and curators of the Thomas Jefferson Foundation of Monticello and the University of Virginia Library. Please contact &lt;a href="mailto:wmr5a@virginia.edu"&gt;Will Rourk&lt;/a&gt; for more information regarding this dataset. &lt;br&gt;&lt;b&gt;Please reference and credit the &lt;a href="https://www.library.virginia.edu/" target="_blank"&gt; University of Virginia Library&lt;/a&gt; and the &lt;a href="https://www.monticello.org/thomas-jefferson-foundation/thomas-jefferson-foundation-an-overview/" target="_blank"&gt; Thomas Jefferson Foundation at Monticello &lt;/a&gt;when making use of this data.&lt;/b&gt;
description: <b>Please reference and credit the University of Virginia Library and the Thomas Jefferson Foundation at Monticello when making use of this data.</b>
DOI: 10.18130/v3/ocrsjy
title: Pine Grove Rosenwald School 3D Data

description: This is the 3D documentation data for the Pine Grove Rosenwald School, Cumberland County, Virginia; The data was collected by students of ARH5600 : 3D Cultural Heritage Informatics, Fall 2021; data collected with FARO Focus 3D lasers scanners - (1) S120, (2) X130; project in collaboration with former Facilities Management Architectural History Projects Director, Jody Lahendron and the Pine Grove Community in an effort to preserve the building and community culture; one of the earliest Rosenwald Schools, built in 1917; Virginia Dept of Historic Resources listing &lt;a href="https://www.dhr.virginia.gov/historic-registers/024-5082/" target="_blank"&gt;https://www.dhr.virginia.gov/historic-registers/024-5082/&lt;/a&gt; - VLR Listing Date 12/12/2019, NRHP Listing Date 02/25/2020, NRHP Reference Number MP100005010; community website at &lt;a href="https://www.ammdpinegroveproject.com/" target="_blank?"&gt;https://www.ammdpinegroveproject.com/&lt;/a&gt;; 

&lt;p&gt;
Data files can be downloaded below:
&lt;br&gt;
&lt;strong&gt;Coming soon. Contact Will Rourk will@virginia.edu for more info&lt;/strong&gt;
&lt;!--
&lt;a href="http://3d-data.uvadcos.io/PineGrove/PineGroveSchool_20211015_scene.tar.gz"&gt;
Raw dataset, FARO Scene project format compressed by zip (20 GB) 
&lt;/a&gt;
&lt;br&gt;
&lt;a href="http://3d-data.uvadcos.io/PineGrove/PineGrove_211015_recapE57_clean.e57"&gt;
Point Cloud Data File - .e57 file format (1.8 GB)
&lt;/a&gt;
&lt;/p&gt;
&lt;p&gt;
Information about the files associated with this dataset can be found in the &lt;a href="https://globaldataversecommunityconsortium.github.io/dataverse-previewers/previewers/PDFPreview.html?fileid=35989&siteUrl=https://dataverse.lib.virginia.edu&key=db5f5cb6-bd3c-42eb-a2b2-6e129a26e750&datasetid=35980&datasetversion=:draft&locale=en"&gt;Read Me&lt;/a&gt; file below.
&lt;/p --&gt;
&lt;p&gt;Please credit the University of Virginia Library upon use of this data&lt;/p&gt;
DOI: 10.18130/v3/54dfnv
title: Enslaved Quarters - Haw Branch, Amelia County, Virginia

description: This is the 3D documentation dataset for the former enslaved quarters structure at the former Haw Branch Plantation, Amelia Co., Virginia; data was collected using (2) FARO Focus 3D X130 laser scanners; data was processed with FARO Scene; data was collected in collaboration with Jobie Hill's SavingSlaveHouses.org project to support preservation of these structures and is featured at https://www.savingslavehouses.org/saving-slave-houses-project/structural-assessment/;

&lt;p&gt;
Data files can be downloaded at the following locations:
&lt;!--br&gt;
&lt;a href="https://3d-data.uvadcos.io/HawBranch/file_scene.tar.gz"&gt;
Raw dataset, FARO Scene project format compressed by zip (XX GB) 
&lt;/a--&gt;
&lt;br&gt;
&lt;a href="https://3d-data.uvadcos.io/HawBranch/HawBranch_20170804_PTS.pts"&gt;
Point Cloud Data File - .pts file format (15.8 GB)
&lt;/a&gt;
&lt;br&gt;
&lt;a href="https://3d-data.uvadcos.io/HawBranch/HawBranch_20170804_E57.e57"&gt;
Point Cloud Data File - .e57 file format (4.6 GB)
&lt;/a&gt;
&lt;!-- p&gt;
Information about the files associated with this dataset can be found in the &lt;a href=""&gt;Read Me&lt;/a&gt; file below.
&lt;/p --&gt;
&lt;p&gt;Please credit the University of Virginia Library upon use of this data&lt;/p&gt;
&lt;/p&gt;
DOI: 10.18130/v3/qfyvvk
title: :unav

description: :unav
DOI: 10.18130/v3/iumgs7
title: Geospatial data for natural channel centerlines across the continental US

description: This data repository includes (1) the original observations for channel bank positions of 143 meandering reaches in 89 rivers across the continental US in the dataset of the National Cooperative Highway Research Program Project (NCHRP) 24-26 (Lagasse et al., 2004), and (2) the geospatial data for centerlines of 103 meandering reaches in 70 rivers recovered from the original NCHRP 24-26 dataset.

Reference:
Lagasse, P. F., Zevenbergen, L. W., Spitz, W. J., & Thorne, C. R., 2004. Methodology for predicting channel migration. Washington, DC: Transportation Research Board. https://doi.org/10.17226/23352
DOI: 10.18130/v3/lzqeai
title: Social Data Commons: Master Metadata

description: Master metadata file for the Social Data Commons Measures
DOI: 10.18130/v3/i8irrf
title: Bremo East Dependency 3D Data

description: 3d laser scan data from the documentation of former enslaved work spaces in the east dependency of the former Upper Bremo Plantation, Fluvanna County, Virginia, built ca. 1819 by John Hartwell Cocke; data was collected using (3) FARO Focus 3D laser scanners, data was registered using FARO Scene v.2019;
&lt;p&gt;
Data files can be downloaded at the following locations:
&lt;br&gt;
&lt;strong&gt;Coming soon. Contact Will Rourk will@virginia.edu for more info&lt;/strong&gt;
&lt;!--
&lt;a href="https://3d-data.uvadcos.io/Bremo_EDep/Bremo_20220127_scene.tar.gz"&gt;
Raw dataset, FARO Scene project format compressed by zip (13.7 GB) 
&lt;/a&gt;
&lt;br&gt;
&lt;a href="https://3d-data.uvadcos.io/Bremo_EDep/Bremo_220127_PTS.pts"&gt;
Point Cloud Data File - .pts file format (16.4 GB)
&lt;/a&gt;
&lt;br&gt;
&lt;a href="https://3d-data.uvadcos.io/Bremo_EDep/Bremo_220127_E57.e57"&gt;
Point Cloud Data File - .e57 file format (4.8 GB)
&lt;/a&gt; --&gt;
&lt;/p&gt;
&lt;!-- p&gt;
Information about the files associated with this dataset can be found in the &lt;a href="https://globaldataversecommunityconsortium.github.io/dataverse-previewers/previewers/PDFPreview.html?fileid=35989&siteUrl=https://dataverse.lib.virginia.edu&key=db5f5cb6-bd3c-42eb-a2b2-6e129a26e750&datasetid=35980&datasetversion=:draft&locale=en"&gt;Read Me&lt;/a&gt; file below.
&lt;/p --&gt;
&lt;p&gt;Please credit the University of Virginia Library upon use of this data&lt;/p&gt;
DOI: 10.18130/v3/n9e9xp
title: Best Practices in Data Collection and Management Workshop
title: Presented at NN/LM MAR Research Data Management Symposium: Doing It Your Way: Approaches to Research Data Management for Libraries

description: Ever need to help a researcher share and archive their research data? Would you know how to advise them on managing their data so it can be easily shared and re-used? This workshop will cover best practices for collecting and organizing research data related to the goal of data preservation and sharing. We will focus on best practices and tips for collecting data, including file naming, documentation/metadata, quality control, and versioning, as well as access and control/security, backup and storage, and licensing. We will discuss the library’s role in data management, and the opportunities and challenges around supporting data sharing efforts. Through case studies we will explore a typical research data scenario and propose solutions and services by the library and institutional partners. Finally, we discuss methods to stay up to date with data management related topics.
description: Originally Published 2015-02-23 in Harvard's Dataverse as https://doi.org/10.7910/DVN/29213