**Apologies for cross posting**

The National Information Standards Organization has a number of virtual events planned for the remainder of 2023. Take a look at our November program, which includes a roundtable on ideas and best practices for strategic planning as well as an update on our Manuscript Exchange Common Approach Recommended Practice. And it’s not too late to join our training series on text and data mining—recordings are available for all sessions held to date!

MONTHLY ROUNDTABLE WEBINAR | FREE FOR NISO MEMBERS

Wednesday, November 8, 11:00 am–12:30 pm ET (US/Canada)

Every organization and institution is faced with the challenge of thoughtfully planning for the future. This roundtable discussion will help you answer questions such as What is the five year plan? What data and forecasts are needed to properly formulate the road map for your organization? Is there a proven template? Or is there a secret formula or special approach that the best leaders have already mastered? If every organization needs a five year plan, why isn’t the process easier, more effective, and less time-consuming? This stimulating discussion hosted by industry leaders can better position you to develop your strategic plan and move your organization forward confidently.

Confirmed speakers include Jonathan Clark, Managing Agent, The DOI Foundation, and Rhonda Ross, Director, Marketing Programs, Communications, and Global Field Marketing, CAS (a division of the American Chemical Society)

Registration is not required for NISO members. Non-NISO members, please register (includes unlimited attendees from your organization). The recording will be shared with all registered attendees.

OPEN TELECONFERENCE | FREE AND OPEN TO ALL

Manuscript Exchange Common Approach (MECA) Update

Monday, November 13, 3:00–4:00 pm ET (US/Canada)

Our next Open Teleconference will provide an update from NISO's Manuscript Exchange Common Approach (MECA) Standing Committee, which works to support and explore future requirements for the NISO RP-30-2020, Manuscript Exchange Common Approach (MECA) Recommended Practice.

The MECA Recommended Practice provides a common means to easily transfer manuscripts between systems, such as those in use at publishers and preprint servers. Previously, in workflow processes such as manuscript rejection or alternate recommendation for article submission, there was no straightforward way for a manuscript to move programmatically from one system to another. Use of MECA obviates frustration for authors and reviewers who complain of wasted time and delays in enabling access to new research. The MECA open protocol supports improved publishing operations and stakeholder communication.

Our working group co-chairs will join NISO staff to discuss the need for MECA, how it works, and what’s happening now in the regular meetings of the Standing Committee.

Confirmed speakers: Tony Alves, Senior Vice President of Product Management, Highwire Press, and Stephen Laverick, Director, Green Fifteen Publishing.

Registration is not required for open teleconferences. See our event page for dial-in information.

REGISTRATION OPEN | RECORDINGS AVAILABLE FOR MISSED SESSIONS

Text and Data Mining | Online Training Series

Thursdays, 11:00 am–12:30 pm ET (US/Canada)

October 12–December 7, 2023

This virtual training series will equip students with the essential skills and knowledge required to undertake text and data mining tasks. The comprehensive course will introduce participants to key concepts and tools of text and data mining, including data types, data structures, data pre-processing, text processing, data mining techniques, text mining techniques, and advanced topics in both data and text mining. Each session will include a Python component, discussing the importance of Python and its libraries in handling various aspects of text and data mining.

Event Sessions

The series consists of eight weekly segments, each lasting 90 minutes. Specific dates are October 12, 19, and 26; November 2, 9,16, and 30; and December 7.

Training Facilitator: William Mattingly, Postdoctoral Fellow, Smithsonian Institution’s Data Science Lab

See the NISO website for more information and to register. Discounts are available for NISO Voting Members/LSA Members. Recordings will be available for those who cannot attend the live broadcast(s). Please note that it is not possible to register for individual program segments or lectures.

We hope to see you next month! In the meantime, remember to visit our events page for the latest on programs, speakers, and additional professional development opportunities.

Best wishes,

The NISO Team

NISO

3600 Clipper Mill Road, Suite 302

Baltimore, MD 21211

Phone: 301.654.2512

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