Implementation and assessment of an end-to-end Open Science & Data Collaborations program [version 2; peer review: 2 approved]
As research becomes more interdisciplinary, fast-paced, data-intensive, and collaborative, there is an increasing need to share data and other research products in accordance with Open Science principles. In response to this need, we created an Open Science & Data Collaborations (OSDC) program a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2022-12-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | https://f1000research.com/articles/11-501/v2 |
| _version_ | 1811295030602629120 |
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| author | Huajin Wang Patrick Campbell Melanie Gainey Katie Behrman Sarah Young |
| author_facet | Huajin Wang Patrick Campbell Melanie Gainey Katie Behrman Sarah Young |
| author_sort | Huajin Wang |
| collection | DOAJ |
| description | As research becomes more interdisciplinary, fast-paced, data-intensive, and collaborative, there is an increasing need to share data and other research products in accordance with Open Science principles. In response to this need, we created an Open Science & Data Collaborations (OSDC) program at the Carnegie Mellon University Libraries that provides Open Science tools, training, collaboration opportunities, and community-building events to support Open Research and Open Science adoption. This program presents a unique end-to-end model for Open Science programs because it extends open science support beyond open repositories and open access publishing to the entire research lifecycle. We developed a logic model and a preliminary assessment metrics framework to evaluate the impact of the program activities based on existing data collected through event and workshop registrations and platform usage. The combination of these evaluation instruments has provided initial insight into our service productivity and impact. It will further help to answer more in-depth questions regarding the program impact, launch targeted surveys, and identify priority service areas and interesting Open Science projects. |
| first_indexed | 2024-04-13T05:27:14Z |
| format | Article |
| id | doaj.art-22fbf60a2c0d46c9a4a535f1676c5288 |
| institution | Directory Open Access Journal |
| issn | 2046-1402 |
| language | English |
| last_indexed | 2024-04-13T05:27:14Z |
| publishDate | 2022-12-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | F1000Research |
| spelling | doaj.art-22fbf60a2c0d46c9a4a535f1676c52882022-12-22T03:00:33ZengF1000 Research LtdF1000Research2046-14022022-12-0111140940Implementation and assessment of an end-to-end Open Science & Data Collaborations program [version 2; peer review: 2 approved]Huajin Wang0https://orcid.org/0000-0003-0121-4257Patrick Campbell1Melanie Gainey2https://orcid.org/0000-0002-4782-9647Katie Behrman3https://orcid.org/0000-0002-9351-0354Sarah Young4https://orcid.org/0000-0002-8301-5106University Libraries, Carnegie Mellon University, Pittsburgh, Pennsylvania, 15213, USAUniversity Libraries, Carnegie Mellon University, Pittsburgh, Pennsylvania, 15213, USAUniversity Libraries, Carnegie Mellon University, Pittsburgh, Pennsylvania, 15213, USAUniversity Libraries, Carnegie Mellon University, Pittsburgh, Pennsylvania, 15213, USAUniversity Libraries, Carnegie Mellon University, Pittsburgh, Pennsylvania, 15213, USAAs research becomes more interdisciplinary, fast-paced, data-intensive, and collaborative, there is an increasing need to share data and other research products in accordance with Open Science principles. In response to this need, we created an Open Science & Data Collaborations (OSDC) program at the Carnegie Mellon University Libraries that provides Open Science tools, training, collaboration opportunities, and community-building events to support Open Research and Open Science adoption. This program presents a unique end-to-end model for Open Science programs because it extends open science support beyond open repositories and open access publishing to the entire research lifecycle. We developed a logic model and a preliminary assessment metrics framework to evaluate the impact of the program activities based on existing data collected through event and workshop registrations and platform usage. The combination of these evaluation instruments has provided initial insight into our service productivity and impact. It will further help to answer more in-depth questions regarding the program impact, launch targeted surveys, and identify priority service areas and interesting Open Science projects.https://f1000research.com/articles/11-501/v2Open Science Metascience Academic Libraries Program Assessment User Dataeng |
| spellingShingle | Huajin Wang Patrick Campbell Melanie Gainey Katie Behrman Sarah Young Implementation and assessment of an end-to-end Open Science & Data Collaborations program [version 2; peer review: 2 approved] F1000Research Open Science Metascience Academic Libraries Program Assessment User Data eng |
| title | Implementation and assessment of an end-to-end Open Science & Data Collaborations program [version 2; peer review: 2 approved] |
| title_full | Implementation and assessment of an end-to-end Open Science & Data Collaborations program [version 2; peer review: 2 approved] |
| title_fullStr | Implementation and assessment of an end-to-end Open Science & Data Collaborations program [version 2; peer review: 2 approved] |
| title_full_unstemmed | Implementation and assessment of an end-to-end Open Science & Data Collaborations program [version 2; peer review: 2 approved] |
| title_short | Implementation and assessment of an end-to-end Open Science & Data Collaborations program [version 2; peer review: 2 approved] |
| title_sort | implementation and assessment of an end to end open science data collaborations program version 2 peer review 2 approved |
| topic | Open Science Metascience Academic Libraries Program Assessment User Data eng |
| url | https://f1000research.com/articles/11-501/v2 |
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