Publications

2024

• Miksa, T., Chodacki, J., Suchánek, M., Praetzellis, M., Papadopoulou, E., Jacquemot, M.-C., & Kevin, A. (2024). Salzburg Manifesto on machine actionable Data Management Plans. Zenodo. https://doi.org/10.5281/zenodo.10658522
• Netscher, S., Hausen, D., Wiley, C., Anders, I., Ashley, K., Henzen, C., Jones, S., Miksa, T. and Praetzellis, M. (2024). Data Management Planning across Disciplines and Infrastructures. Introduction to the Special Collection. Data Science Journal, 23(1), p. 16. https://doi.org/10.5334/dsj-2024-016
• ORFG PID Strategy Working Group. (2024). Developing a US National PID Strategy. Zenodo. https://doi.org/10.5281/zenodo.10811008

2023

• Hyde, A., Chodacki, J., & Shannon, P. (2023, April 11). An initial scholarly AI taxonomy. Upstream. https://doi.org/10.54900/6p6re-xyj61
• Praetzellis, M., Buys, M., Chen, X., Chodacki, J., Davies, N., Garza, K., Nancarrow, C., Riley, B., & Robinson, E. (2023). A Programmatic and Scalable Approach to making Data Management Machine-Actionable. Data Science Journal, 22(1), p. 26. https://doi.org/10.5334/dsj-2023-026

2021

• Chodacki, J., Hudson Vitale, C., & Praetzellis, M. (2021, February 1). No-nonsense, practical guide to implementing effective data practices. Zenodo. https://doi.org/10.5281/zenodo.4487599
• Gould, M., & Praetzellis, M. (2021). Open persistent identifiers: The building blocks of sustainable scholarly infrastructure. Research Library Issues, 302, 5–12. Association of Research Libraries. https://publications.arl.org/1m5dlmg/

2020

• Chodacki, J., Hudson-Vitale, C., Meyers, N., Muilenburg, J., Praetzellis, M., Redd, K., Ruttenberg, J., Steen, K., Cutcher-Gershenfeld, J., & Gould, M. (2020). Implementing Effective Data Practices: Stakeholder Recommendations for Collaborative Research Support. ARL. https://doi.org/10.29242/report.effectivedatapractices2020
• Kaiser, K. A., Chodacki, J., Habermann, T., Kemp, J., Paglione, L., Urberg, M., & Plutchak, T. S. (2020). Metadata: The accelerant we need. Information Services and Use, 40(3), 181–191. https://doi.org/10.3233/ISU-200094

2019

• Cousijn, H., Feeney, P., Lowenberg, D., Presani, E., & Simons, M. (2019). Bringing Citations and Usage Metrics Together to Make Data Count. Data Science Journal, 18(1), p. 9. https://doi.org/10.5334/dsj-2019-009
• Gregg, W. J., Erdmann, C., Paglione, L. A. D., Schneider, J., & Dean, C. (2019). A literature review of scholarly communications metadata. Research Ideas and Outcomes, 5, e38698. https://doi.org/10.3897/rio.5.e38698
• Lowenberg, D., Chodacki, J., Fenner, M., Kemp, J., & Jones, M. B. (2019). Open Data Metrics: Lighting the Fire (Version 1). Zenodo. https://doi.org/10.5281/zenodo.3525349
• Martinez, P. A., Erdmann, C., Simons, N., et al. (2019). Top 10 Data & Software Things. Zenodo.

2018

• Ten principles for machine-actionable data management plans. PLOS Computational Biology (preprint available on Zenodo http://doi.org/10.5281/zenodo.1434938).
• A Landscape Survey of #ActiveDMPs. International Journal of Digital Curation, 13(1): 204-214. https://doi.org/10.2218/ijdc.v13i1.629
• Abrams, S. “Nothing succeeds like success: An approach for evaluating digital preservation efficacy.” iPRES 2018, Boston. https://escholarship.org/uc/item/8cp160c9
• Abrams, S. “Theorizing success: Measures for evaluating digital preservation efficacy.” JCDL 2018, Fort Worth. https://escholarship.org/uc/item/7xt368b2
• Borghi, J., Abrams, S., Lowenberg, D., Sims, S., and Chodacki, J. “Support your data: A research data management guide for researchers.” RIO 4: e26439. https://doi.org/10.3897/rio.4.e26439
• Fenner, M., Lowenberg, D., Jones, M., Needham, P., Vieglais, D., Abrams, S., Cruse, P., and Chodacki, J. Code of Practice for Research Data Usage Metrics, release 1, COUNTER.
• Kemp, J., Dean, C., Chodacki, J. (2018). “Can Richer Metadata Rescue Research?” The Serials Librarian, 74(1-4), 207-211. https://doi.org/10.1080/0361526X.2018.1428483
• Chodacki, J., Cruse, P., Lin, J., Neylon, C., Pattinson, D., Strasser, C. (2018). Supporting Research Communications: A guide (Version v1.1). Zenodo. https://doi.org/10.5281/zenodo.3524663
• Burton, M., Lyon, L., Erdmann, C., Tijerina, B. (2018). “Shifting to Data Savvy: The Future of Data Science In Libraries.” Project Report. University of Pittsburgh.

2017

• Machine-actionable data management plans (maDMPs). Research Ideas and Outcomes, 3: e13086. https://doi.org/10.3897/rio.3.e13086
• Next-Generation Data Management Plans: Global, Machine-Actionable, FAIR. International Journal of Digital Curation, 12(1).

2016

• The Future of Data Management Planning: Tools, Policies, and Players. International Journal of Digital Curation.
• Abrams, S., Goethals, A., Klein, M., Lack, R. “Cobweb: A Collaborative Collection Development Platform for Web Archiving.” Research Ideas and Outcomes, 2: e8760. https://doi.org/10.3897/rio.2.e8760
• Abrams, S., Katz, J., Simms, S., Strong, M., Willett, P. “Dash: Data sharing made easy at the University of California.” International Journal of Digital Curation, 11(1), 118-127.
• Simms, S., Jones, S., Ashley, K., Ribeiro, M., Chodacki, J., Abrams, S., Strong, M. Roadmap: A Research Data Management Advisory Platform. Research Ideas and Outcomes, 2: e8649. https://doi.org/10.3897/rio.2.e8649

2015

• Abrams, S. “A foundational framework for digital curation: The Sept domain model.” iPRES 2015. http://escholarship.org/uc/item/75v3z67n
• Abrams, S. “Rising from firm foundations.” D-Lib Magazine, 22(3/4).
• Kratz, J., Strasser, C. (2015). “Researcher Perspectives on Publication and Peer Review of Data.” PLoS ONE, 10(2): e0117619.
• Kratz, J., Strasser, C. (2015). “Making data count.” Scientific Data, 2.
• Starr, J., Castro, E., Crosas, M., Dumontier, M., Downs, R.R., Duerr, R., et al. (2015). “Achieving human and machine accessibility of cited data in scholarly publications.” PeerJ PrePrints, 3: https://peerj.com/preprints/697v3/

2014

• Abrams, S., Cruse, P., Strasser, C., Willet, P., Boushey, G., Kochi, J., et al. (2014). “DataShare: Empowering Researcher Data Curation.” International Journal of Digital Curation, 9(1): 110-118.
• Kratz, J.E., Strasser, C. “Data Publication Consensus and Controversies.” F1000Research, 3:94.
• Strasser, C., Kunze, J., Abrams, S., Cruse, P. “DataUp: A tool to help researchers describe and share tabular data.” F1000Research, 3:6.

2013

• Abrams, S., Wittman, N., Rizk-Jackson, A., Kochi, J. “Sharing Data-Rich Research through Repository Layering.” Open Repositories, Charlottetown, 2013.

2008–2012

• Cruse, P., Sandore, B. “The Library of Congress National Digital Information Infrastructure and Preservation Program.” Library Trends, 57(3), 2009.2025
• Abrams, S., Kunze, J., Loy, D. “An Emergent Micro-Services Approach to Digital Curation Infrastructure.” International Journal of Digital Curation, 5(1), 2010.
• Abrams, S., Morrissey, S., Cramer, T. “‘What? So what?’: The Next-Generation JHOVE2 Architecture for Format-Aware Characterization.” International Journal of Digital Curation, 4(3), 2009.