ºÝºÝߣshows by User: readkev / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: readkev / Thu, 22 May 2014 14:03:51 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: readkev A Tale of Two Data Catalogs /slideshow/a-tale-of-two-data-catalogs/35013854 readkevinmlapresentation2014-140522140351-phpapp01
This presentation will describe two studies undertaken to build two separate data catalogs: the first for NIH-funded datasets and the second for institutional datasets created within an academic medical center. To inform the creation of an NIH data catalog, the purpose of the first study was to a) develop a set of minimal metadata elements used to describe datasets, and b) carry out an analysis to identify datasets in NIH-funded research articles that do not provide an indication that their data has been shared in a data repository. This study served as the foundation for developing an index of all NIH-funded datasets, and provided information about in what repositories researchers share their data most often. The second study was spurred on by the first, and involved interviewing institutional faculty members and researchers to learn more about how they collect data, what challenges they face when collecting data, whether they’ve thought about sharing data, and what they would find most useful from an institutional data catalog. The results of this study informed the workflows, metadata creation, and requirements for building a data catalog within the medical center. Additionally, interview responses were used to further inform the data services provided by the health sciences library, including education, research consultations and clinical quality improvement initiatives. Both studies provide various examples of how a librarian working in the health sciences can contribute to, and participate in data-related services within their institution.]]>
This presentation will describe two studies undertaken to build two separate data catalogs: the first for NIH-funded datasets and the second for institutional datasets created within an academic medical center. To inform the creation of an NIH data catalog, the purpose of the first study was to a) develop a set of minimal metadata elements used to describe datasets, and b) carry out an analysis to identify datasets in NIH-funded research articles that do not provide an indication that their data has been shared in a data repository. This study served as the foundation for developing an index of all NIH-funded datasets, and provided information about in what repositories researchers share their data most often. The second study was spurred on by the first, and involved interviewing institutional faculty members and researchers to learn more about how they collect data, what challenges they face when collecting data, whether they’ve thought about sharing data, and what they would find most useful from an institutional data catalog. The results of this study informed the workflows, metadata creation, and requirements for building a data catalog within the medical center. Additionally, interview responses were used to further inform the data services provided by the health sciences library, including education, research consultations and clinical quality improvement initiatives. Both studies provide various examples of how a librarian working in the health sciences can contribute to, and participate in data-related services within their institution.]]> Thu, 22 May 2014 14:03:51 GMT /slideshow/a-tale-of-two-data-catalogs/35013854 readkev@slideshare.net(readkev) A Tale of Two Data Catalogs readkev This presentation will describe two studies undertaken to build two separate data catalogs: the first for NIH-funded datasets and the second for institutional datasets created within an academic medical center. To inform the creation of an NIH data catalog, the purpose of the first study was to a) develop a set of minimal metadata elements used to describe datasets, and b) carry out an analysis to identify datasets in NIH-funded research articles that do not provide an indication that their data has been shared in a data repository. This study served as the foundation for developing an index of all NIH-funded datasets, and provided information about in what repositories researchers share their data most often. The second study was spurred on by the first, and involved interviewing institutional faculty members and researchers to learn more about how they collect data, what challenges they face when collecting data, whether they’ve thought about sharing data, and what they would find most useful from an institutional data catalog. The results of this study informed the workflows, metadata creation, and requirements for building a data catalog within the medical center. Additionally, interview responses were used to further inform the data services provided by the health sciences library, including education, research consultations and clinical quality improvement initiatives. Both studies provide various examples of how a librarian working in the health sciences can contribute to, and participate in data-related services within their institution. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/readkevinmlapresentation2014-140522140351-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation will describe two studies undertaken to build two separate data catalogs: the first for NIH-funded datasets and the second for institutional datasets created within an academic medical center. To inform the creation of an NIH data catalog, the purpose of the first study was to a) develop a set of minimal metadata elements used to describe datasets, and b) carry out an analysis to identify datasets in NIH-funded research articles that do not provide an indication that their data has been shared in a data repository. This study served as the foundation for developing an index of all NIH-funded datasets, and provided information about in what repositories researchers share their data most often. The second study was spurred on by the first, and involved interviewing institutional faculty members and researchers to learn more about how they collect data, what challenges they face when collecting data, whether they’ve thought about sharing data, and what they would find most useful from an institutional data catalog. The results of this study informed the workflows, metadata creation, and requirements for building a data catalog within the medical center. Additionally, interview responses were used to further inform the data services provided by the health sciences library, including education, research consultations and clinical quality improvement initiatives. Both studies provide various examples of how a librarian working in the health sciences can contribute to, and participate in data-related services within their institution.
A Tale of Two Data Catalogs from readkev
]]> 1294 6 https://cdn.slidesharecdn.com/ss_thumbnails/readkevinmlapresentation2014-140522140351-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 NIH Data Catalog - Updated Results /slideshow/nih-data-catalog-updated-results/27703046 2013-08-14borreadkevin-131029132927-phpapp01
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]]> Tue, 29 Oct 2013 13:29:27 GMT /slideshow/nih-data-catalog-updated-results/27703046 readkev@slideshare.net(readkev) NIH Data Catalog - Updated Results readkev <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2013-08-14borreadkevin-131029132927-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
NIH Data Catalog - Updated Results from readkev
]]> 978 5 https://cdn.slidesharecdn.com/ss_thumbnails/2013-08-14borreadkevin-131029132927-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Building an NIH Data Catalog: Bit by Bit /slideshow/2013-0724-final/24729277 2013-07-24final-130729092651-phpapp01
OBJECTIVE The purpose of the project was to a) develop a set of core, minimal metadata elements that would be used to describe data sets, and b) carry out a study to identify data sets in NIH-funded articles from PubMed and PubMed Central (PMC) that do not provide an indication that their data is stored in a specific place like a repository or registry. These efforts will inform the BD2K initiative and a planned NIH Data Catalog. METHODS An analysis of the metadata schemas for all NIH data repositories was undertaken. Commonalities from these data repositories were identified, mapped to existing data-specific metadata standards from DataCite and Dryad, and then were integrated into MEDLINE XML metadata to attempt to establish a sustainable and integrated metadata schema. The second phase of this project identified data sets in articles from PubMed and PMC by searching specifically for NIH-funded articles from the year 2011. After excluding articles that contain mention of data sets being deposited in existing repositories, thirty staff members from NLM and B2DK were recruited to analyze a random sample of the results to identify how many, and what types of data sets were created per article. RESULTS A preliminary set of minimal metadata elements were developed that could sufficiently describe NIH-funded data sets and be integrated within MEDLINE’s schema, with minor additions. At present, results of the second phase to analyze PubMed and PMC articles for data sets are pending once all submissions from NLM staff are complete. CONCLUSION The efforts to develop a minimal set of metadata elements and identify the amount, and types of data sets that are produced from NIH funded articles will serve to inform the BD2K’s initiative to build an NIH Data Catalog going forward. ]]>
OBJECTIVE The purpose of the project was to a) develop a set of core, minimal metadata elements that would be used to describe data sets, and b) carry out a study to identify data sets in NIH-funded articles from PubMed and PubMed Central (PMC) that do not provide an indication that their data is stored in a specific place like a repository or registry. These efforts will inform the BD2K initiative and a planned NIH Data Catalog. METHODS An analysis of the metadata schemas for all NIH data repositories was undertaken. Commonalities from these data repositories were identified, mapped to existing data-specific metadata standards from DataCite and Dryad, and then were integrated into MEDLINE XML metadata to attempt to establish a sustainable and integrated metadata schema. The second phase of this project identified data sets in articles from PubMed and PMC by searching specifically for NIH-funded articles from the year 2011. After excluding articles that contain mention of data sets being deposited in existing repositories, thirty staff members from NLM and B2DK were recruited to analyze a random sample of the results to identify how many, and what types of data sets were created per article. RESULTS A preliminary set of minimal metadata elements were developed that could sufficiently describe NIH-funded data sets and be integrated within MEDLINE’s schema, with minor additions. At present, results of the second phase to analyze PubMed and PMC articles for data sets are pending once all submissions from NLM staff are complete. CONCLUSION The efforts to develop a minimal set of metadata elements and identify the amount, and types of data sets that are produced from NIH funded articles will serve to inform the BD2K’s initiative to build an NIH Data Catalog going forward. ]]> Mon, 29 Jul 2013 09:26:51 GMT /slideshow/2013-0724-final/24729277 readkev@slideshare.net(readkev) Building an NIH Data Catalog: Bit by Bit readkev OBJECTIVE The purpose of the project was to a) develop a set of core, minimal metadata elements that would be used to describe data sets, and b) carry out a study to identify data sets in NIH-funded articles from PubMed and PubMed Central (PMC) that do not provide an indication that their data is stored in a specific place like a repository or registry. These efforts will inform the BD2K initiative and a planned NIH Data Catalog. METHODS An analysis of the metadata schemas for all NIH data repositories was undertaken. Commonalities from these data repositories were identified, mapped to existing data-specific metadata standards from DataCite and Dryad, and then were integrated into MEDLINE XML metadata to attempt to establish a sustainable and integrated metadata schema. The second phase of this project identified data sets in articles from PubMed and PMC by searching specifically for NIH-funded articles from the year 2011. After excluding articles that contain mention of data sets being deposited in existing repositories, thirty staff members from NLM and B2DK were recruited to analyze a random sample of the results to identify how many, and what types of data sets were created per article. RESULTS A preliminary set of minimal metadata elements were developed that could sufficiently describe NIH-funded data sets and be integrated within MEDLINE’s schema, with minor additions. At present, results of the second phase to analyze PubMed and PMC articles for data sets are pending once all submissions from NLM staff are complete. CONCLUSION The efforts to develop a minimal set of metadata elements and identify the amount, and types of data sets that are produced from NIH funded articles will serve to inform the BD2K’s initiative to build an NIH Data Catalog going forward. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2013-07-24final-130729092651-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> OBJECTIVE The purpose of the project was to a) develop a set of core, minimal metadata elements that would be used to describe data sets, and b) carry out a study to identify data sets in NIH-funded articles from PubMed and PubMed Central (PMC) that do not provide an indication that their data is stored in a specific place like a repository or registry. These efforts will inform the BD2K initiative and a planned NIH Data Catalog. METHODS An analysis of the metadata schemas for all NIH data repositories was undertaken. Commonalities from these data repositories were identified, mapped to existing data-specific metadata standards from DataCite and Dryad, and then were integrated into MEDLINE XML metadata to attempt to establish a sustainable and integrated metadata schema. The second phase of this project identified data sets in articles from PubMed and PMC by searching specifically for NIH-funded articles from the year 2011. After excluding articles that contain mention of data sets being deposited in existing repositories, thirty staff members from NLM and B2DK were recruited to analyze a random sample of the results to identify how many, and what types of data sets were created per article. RESULTS A preliminary set of minimal metadata elements were developed that could sufficiently describe NIH-funded data sets and be integrated within MEDLINE’s schema, with minor additions. At present, results of the second phase to analyze PubMed and PMC articles for data sets are pending once all submissions from NLM staff are complete. CONCLUSION The efforts to develop a minimal set of metadata elements and identify the amount, and types of data sets that are produced from NIH funded articles will serve to inform the BD2K’s initiative to build an NIH Data Catalog going forward.
Building an NIH Data Catalog: Bit by Bit from readkev
]]> 620 6 https://cdn.slidesharecdn.com/ss_thumbnails/2013-07-24final-130729092651-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Data sharing & the nih data catalog /slideshow/data-sharing-the-nih-data-catalog/18403022 datasharingthenihdatacatalog-130408063751-phpapp02
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]]> Mon, 08 Apr 2013 06:37:51 GMT /slideshow/data-sharing-the-nih-data-catalog/18403022 readkev@slideshare.net(readkev) Data sharing & the nih data catalog readkev <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datasharingthenihdatacatalog-130408063751-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Data sharing & the nih data catalog from readkev
]]> 455 4 https://cdn.slidesharecdn.com/ss_thumbnails/datasharingthenihdatacatalog-130408063751-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/readkevinmlapresentation2014-140522140351-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/a-tale-of-two-data-catalogs/35013854 A Tale of Two Data Cat... https://cdn.slidesharecdn.com/ss_thumbnails/2013-08-14borreadkevin-131029132927-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/nih-data-catalog-updated-results/27703046 NIH Data Catalog - Upd... https://cdn.slidesharecdn.com/ss_thumbnails/2013-07-24final-130729092651-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/2013-0724-final/24729277 Building an NIH Data C...